This patent landscape report on hand gesture recognition takes a look at the Intellectual property trends and filings being done by companies and institutions active in this technology area. All charts and analysis in this report have been prepared using PatSeer Pro
6G WILL UNLOCK THE POWER OF AI-FOR-EVERYTHINGMahbubul Alam
We envision 6G to offer revolutionary transformation which will usher in an era of connected built-in intelligent applications, services, and networks that will auto-provision end-to-end systems to guaranteed quality of services for an agreed service level agreement, ultra-high-speed data rate, surpassing that of last-mile wired connectivity, perceived zero-latency & deterministic jitter for human safety and mission-critical applications, extremely high reliability for essential services, high spectrum-bands for haptic, holographic, extensive multimedia streaming and more, connected artificial intelligence for autonomous functions and future unknown use cases, etc.
6G will be a key enabler for equitable wealth distribution and a major driver for the green economy. It will unleash the full potential for Industrial Revolution IE 5.0 which will focus on the co-operation between human and machine, as human intelligence works in harmony with cognitive computing and machines performs mundane, repetitive, error-prone tasks. By putting humans back into industrial production with 6G enabled collaborative robots a.k.a Cobots, workers will be upskilled to provide value-added tasks in production such as setting the strategy, provide oversight and add creative input, leading to massive customization & personalization for customers. In this talk, we will examine the state of AI and its potential role in 6G.
A Dynamic hand gesture recognition for human computer interactionKunika Barai
This document discusses dynamic hand gesture recognition using human computer interaction. It proposes using a camera worn by hearing impaired users to capture hand gestures, which would then be processed on a computer using image processing techniques to recognize the gestures and map them to speech output. The system aims to help develop a prototype that can automatically recognize sign language gestures in real-time and translate them to voice. It reviews several previous works on sign language and gesture recognition and their limitations to motivate the proposed approach.
The document describes the components and process of an expert system for car noise diagnosis. The system uses a knowledge base collected from mechanics to store over 150 production rules relating different car noises to failures and causes. The expert system applies forward-chaining inference to match a user-reported noise to applicable rules and identify the most likely failure based on its knowledge.
“Brilliantreflect”: smart mirror for smart lifeIJECEIAES
This document summarizes the development of a smart mirror called "Brilliantreflect". The smart mirror was created using a Raspberry Pi and two-way mirror to display useful information to users such as weather, time, calendar events, reminders, and news. The development process followed the ADDIE model of analysis, design, development, implementation, and evaluation. Key features of the smart mirror include displaying the date, time, weather, traffic conditions, alarm settings, holiday calendar, and daily reminders that are synced from a mobile device. An evaluation was conducted with potential users to test the usability and effectiveness of the smart mirror for daily use.
This document provides an overview of expert systems, including their history, types, components, applications, and development process. Some key points:
- Early expert systems included DENDRAL for chemical analysis and MYCIN for medical diagnosis. Expert systems were pioneered in the 1970s and 1980s.
- Expert systems can advise on complex problems like a human expert through rule-based or frame-based knowledge representation.
- The main components are the knowledge base containing domain expertise, an interface engine that uses rules to solve problems, and a user interface.
- Expert systems have various applications in fields like design, medicine, monitoring, and finance. However, they also have limitations like knowledge acquisition difficulties
IRJET- Hand Gesture Recognition System using Convolutional Neural NetworksIRJET Journal
The document presents a hand gesture recognition system using convolutional neural networks. The system aims to enable communication between deaf or mute individuals and those who do not understand sign language. It works by capturing an image of a hand gesture via camera, extracting features from the image, detecting the sign using a CNN model, and converting the sign to text or speech. The system can also convert text or speech to the corresponding sign. The CNN model achieves an accuracy of 95.6% for sign recognition, outperforming previous methods. A real-time prototype allows signing and two-way communication between individuals on different devices.
This document is a final report on gesture recognition submitted by three students. It contains an abstract, introduction, background information on gesture recognition including American Sign Language and object recognition techniques. It discusses digital image processing and neural networks. It outlines the approach, modules, flowcharts, results and conclusions of the project, which developed a method to recognize static hand gestures using a perceptron neural network trained on orientation histograms of the input images. Source code and applications are also discussed.
IRJET- Sixth Sense Technology in Image ProcessingIRJET Journal
This document describes sixth sense technology, which allows users to interact with digital information by using hand gestures that are detected by a camera. The technology was developed by Pranav Mistry to bridge the gap between the digital and physical worlds. It consists of a camera, projector, mirror, mobile phone, and colored markers on the fingers. The camera detects hand gestures and objects, and the projector displays related digital information onto physical surfaces. Pattern matching through image processing is used to recognize hand gestures and colors and trigger the appropriate responses from the sixth sense device. This technology has applications in areas like maps, drawing, calling, and photos.
6G WILL UNLOCK THE POWER OF AI-FOR-EVERYTHINGMahbubul Alam
We envision 6G to offer revolutionary transformation which will usher in an era of connected built-in intelligent applications, services, and networks that will auto-provision end-to-end systems to guaranteed quality of services for an agreed service level agreement, ultra-high-speed data rate, surpassing that of last-mile wired connectivity, perceived zero-latency & deterministic jitter for human safety and mission-critical applications, extremely high reliability for essential services, high spectrum-bands for haptic, holographic, extensive multimedia streaming and more, connected artificial intelligence for autonomous functions and future unknown use cases, etc.
6G will be a key enabler for equitable wealth distribution and a major driver for the green economy. It will unleash the full potential for Industrial Revolution IE 5.0 which will focus on the co-operation between human and machine, as human intelligence works in harmony with cognitive computing and machines performs mundane, repetitive, error-prone tasks. By putting humans back into industrial production with 6G enabled collaborative robots a.k.a Cobots, workers will be upskilled to provide value-added tasks in production such as setting the strategy, provide oversight and add creative input, leading to massive customization & personalization for customers. In this talk, we will examine the state of AI and its potential role in 6G.
A Dynamic hand gesture recognition for human computer interactionKunika Barai
This document discusses dynamic hand gesture recognition using human computer interaction. It proposes using a camera worn by hearing impaired users to capture hand gestures, which would then be processed on a computer using image processing techniques to recognize the gestures and map them to speech output. The system aims to help develop a prototype that can automatically recognize sign language gestures in real-time and translate them to voice. It reviews several previous works on sign language and gesture recognition and their limitations to motivate the proposed approach.
The document describes the components and process of an expert system for car noise diagnosis. The system uses a knowledge base collected from mechanics to store over 150 production rules relating different car noises to failures and causes. The expert system applies forward-chaining inference to match a user-reported noise to applicable rules and identify the most likely failure based on its knowledge.
“Brilliantreflect”: smart mirror for smart lifeIJECEIAES
This document summarizes the development of a smart mirror called "Brilliantreflect". The smart mirror was created using a Raspberry Pi and two-way mirror to display useful information to users such as weather, time, calendar events, reminders, and news. The development process followed the ADDIE model of analysis, design, development, implementation, and evaluation. Key features of the smart mirror include displaying the date, time, weather, traffic conditions, alarm settings, holiday calendar, and daily reminders that are synced from a mobile device. An evaluation was conducted with potential users to test the usability and effectiveness of the smart mirror for daily use.
This document provides an overview of expert systems, including their history, types, components, applications, and development process. Some key points:
- Early expert systems included DENDRAL for chemical analysis and MYCIN for medical diagnosis. Expert systems were pioneered in the 1970s and 1980s.
- Expert systems can advise on complex problems like a human expert through rule-based or frame-based knowledge representation.
- The main components are the knowledge base containing domain expertise, an interface engine that uses rules to solve problems, and a user interface.
- Expert systems have various applications in fields like design, medicine, monitoring, and finance. However, they also have limitations like knowledge acquisition difficulties
IRJET- Hand Gesture Recognition System using Convolutional Neural NetworksIRJET Journal
The document presents a hand gesture recognition system using convolutional neural networks. The system aims to enable communication between deaf or mute individuals and those who do not understand sign language. It works by capturing an image of a hand gesture via camera, extracting features from the image, detecting the sign using a CNN model, and converting the sign to text or speech. The system can also convert text or speech to the corresponding sign. The CNN model achieves an accuracy of 95.6% for sign recognition, outperforming previous methods. A real-time prototype allows signing and two-way communication between individuals on different devices.
This document is a final report on gesture recognition submitted by three students. It contains an abstract, introduction, background information on gesture recognition including American Sign Language and object recognition techniques. It discusses digital image processing and neural networks. It outlines the approach, modules, flowcharts, results and conclusions of the project, which developed a method to recognize static hand gestures using a perceptron neural network trained on orientation histograms of the input images. Source code and applications are also discussed.
IRJET- Sixth Sense Technology in Image ProcessingIRJET Journal
This document describes sixth sense technology, which allows users to interact with digital information by using hand gestures that are detected by a camera. The technology was developed by Pranav Mistry to bridge the gap between the digital and physical worlds. It consists of a camera, projector, mirror, mobile phone, and colored markers on the fingers. The camera detects hand gestures and objects, and the projector displays related digital information onto physical surfaces. Pattern matching through image processing is used to recognize hand gestures and colors and trigger the appropriate responses from the sixth sense device. This technology has applications in areas like maps, drawing, calling, and photos.
IOT: The Evolving World of Realtime BigData by Jerry PowerData Con LA
Abstract:- IOT technology will allow big data structures to evolve from static off line repositories of digital knowledge to on-line representations of our current world. IOT will allow the techniques used with big data to identify trends and forecast future to become operationally enabled data structures that allow us to manage our digital environment for maximal advantage. The road to this reality has several hurdles that must first be overcome. Among these hurdles are trust, privacy, discovery, and behavioral economics. These issues will be discussed in the context of a large city operations network and potential options to overcome these hurdles will be offered.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects through sensors and software to enable the collection and exchange of data. This allows objects to be more integrated and provide more value through services. The number of connected devices is growing rapidly and transforming many industries. Key drivers include lower costs of sensors, processing power, and connectivity. Common applications discussed include smart homes, cities, healthcare, and industrial uses. The document also examines how IoT is changing business models to focus on services and recurring revenue through data and connectivity between products.
The document discusses how the Internet of Things (IoT) is revolutionizing healthcare through connecting physical objects via sensors and communication technologies. It provides examples of IoT applications in healthcare like remote patient monitoring and smart hospitals. Specifically, it summarizes research on CellChek, a cost-effective mobile healthcare system that uses sensors on mobile phones and the least costly wireless interface like free WiFi to upload patient medical data. It also describes a proposed smart hospital system that uses near field communication technologies like RFID and QR codes to automate workflows and improve efficiency and safety.
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
Hospital Supply Chain Excellence
19-20 July 2017
Pullman Bangkok Grande Sukhumvit, Thailand
Case Study IoT:
The new era of an enhanced digital supply chain for healthcare systems
• Why do hospitals need to integrate with IoT?
• RTLS: A real-time locating system. What’s the hidden benefits beyond tracking?
• RTLS+: Enhancing the vision of 2nd generation in RTLS – Process improvement by eliminate non-productive transaction • 5 case studies of IoT application in healthcare facilities
Thamanoon Vechvittyakahlung Medical Director Nippon Sysit - RTLS Technology for Healthcare Thailand
The document discusses Internet of Things (IoT). It defines IoT as physical devices embedded with electronics, software and sensors that can connect and exchange data. It notes that the number of IoT devices increased 31% to 8.4 billion in 2017. Common IoT applications discussed include smart homes, smart traffic/parking systems, smart farming, and more. Key IoT sensors like temperature, presence, pressure, water quality and smoke sensors are also explained.
IRJET- Data Visualization using Augmented RealityIRJET Journal
This document summarizes a research paper on using augmented reality for data visualization. It discusses how augmented reality can provide a 3D view of machines in an industry by overlaying 3D models onto the camera view. Sensors collect real-time machine data that is stored in a cloud database. When users view machines through their device camera, they can see status information by clicking on the overlaid 3D models. The document also discusses challenges like hardware limitations, information filtering, and tracking accuracy that must be addressed for practical augmented reality applications.
IRJET- Sixth Sense Technology: A Gesture-Based Wearable Computing ReviewIRJET Journal
The document discusses Sixth Sense technology, which uses gestures to integrate digital information with the physical world. It allows users to access and interact with digital data through natural hand motions. The technology includes a camera, projector, and mobile device connected to a computer. It recognizes gestures like facial expressions and hand movements to control applications and virtual objects. The document reviews the technology's potential uses and prior research in the field of human-computer interaction through gesture recognition. It examines Sixth Sense as a potential solution for intelligent home security systems through sensors that can identify people and detect suspicious activity.
This document discusses the Internet of Things (IoT) and Tata Consultancy Services' (TCS) Connected Universe Platform (TCUP) for addressing IoT. It provides an overview of TCS, the requirements and challenges of IoT platforms, and the key components of TCUP including its architecture, analytics capabilities, and applications. TCUP aims to provide visibility into sensor data, insights through analytics, and control through a scalable and affordable platform to bridge the gap between sensors and applications. The document highlights several research publications and applications developed using TCUP.
This document presents a real-time hand gesture recognition method. It discusses algorithms like 3D model-based, skeletal-based, and appearance-based for hand gesture recognition. The process involves hand detection, tracking, segmentation, and recognition. Features, advantages, and applications are also covered. The method uses fast hand tracking, segmentation, and multi-scale feature extraction for accurate recognition. It concludes with discussing potential for continued progress in areas like sign language recognition and accessibility.
This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
The Internet of Things (IoT for Beginners Guide)Ashish Kumar
You might have heard plenty of jargons related to the internet, but the one that has become a buzzword recently and is broken into the mainstream as potentially the most significant term for the way we communicate, work and live in the near future is: The Internet of Things (IoT). Today, everyone is talking about the Internet of Things (IoT) from the newspaper to tech blogs. But what, exactly, is the IoT for beginners? Let’s find out. For more details visit: https://goo.gl/qT4LYA
The Internet of Things (IoT) is an umbrella term which covers a broad repertoire of sensors, applications, technologies, and use cases as they are enabled by the network of objects and devices with an IP address (Internet Protocol). Smart locks, smart cars, smart security system, smart thermostats, and smart health monitor are some of the examples of The Internet of Things (IoT) you’ve probably heard recently, and you’re going to hear more as the year progresses.
Analytics as-a-service-io t-asia-arpanpalArpan Pal
This document discusses analytics as a service for the Internet of Things (IoT). It describes how IoT platforms need to support visibility, insights, and control through analytics. The document outlines challenges for IoT analytics like scalability, affordability, fusion of sensor data, and ease of development. It proposes an analytics-as-a-service model using Tata Consultancy Services' IoT platform to address these challenges. Examples of IoT analytics services discussed include anomaly detection using health sensor data, behavior sensing using mobile phones, measurement using camera vision, causal analysis, prognosis, and planning.
(1) The document discusses sensors in smart devices that are part of the Internet of Everything (IoE). It describes how smart devices can sense their environment using various sensors and communicate data over the internet.
(2) It provides details on the types of sensors in smart devices like smartphones, including touchscreens, motion sensors, multimedia sensors, and explains how they are used both actively and passively to collect data.
(3) The architecture of smart devices is described, including processors, memory, and the role of sensors in collecting analog data that is converted and analyzed. Privacy and security issues related to collection and analysis of sensor data are also mentioned.
The document discusses the architecture of Internet of Things (IoT) systems. It describes IoT as a world where all devices and objects are connected and can generate data. It then outlines a 5-layer architecture for IoT: 1) Devices/sensors that collect data; 2) Edge computing for local processing; 3) Access technologies like 5G that connect devices; 4) Gateways that aggregate data; and 5) Cloud computing that analyzes data to enable automated decisions and insights. Each layer has distinct characteristics to support IoT applications across industries.
This document discusses the challenges of scaling IoT initiatives to generate ROI within 18 months as recommended. While IoT projects are collecting huge amounts of data across industries, only 1% of the data is being properly analyzed to produce actionable insights. This leads to 275% of IoT projects failing to achieve their financial goals due to a lack of expertise in scaling solutions to leverage the full potential of collected data through analytics and machine learning. The document promotes an innovative cloud platform to help organizations securely connect devices, scale their big data infrastructure, and generate insights to maximize ROI from IoT implementations.
IRJET- Enhanced Look Based Media Player with Hand Gesture RecognitionIRJET Journal
The document describes a proposed enhanced media player that uses face detection and hand gesture recognition to control playback. Specifically, it will:
1. Continuously monitor the user's face using a webcam and only play the video when the user is looking at the screen, pausing otherwise.
2. Detect hand gestures like raising a hand to increase volume, decrease volume, switch to the next video, or previous video.
3. The system is intended to provide a better media playback experience by automating control and preventing the user from missing parts of a video if they look away. Both face detection and hand gesture recognition are implemented using computer vision algorithms like HAAR cascades.
Avco Systems created a software application called Single View of the Child to centralize information for social workers from multiple sources into a single interface. This would allow social workers accessing the information from mobile devices in the field. SCC identified Intel Core processor-based mobile devices as best suited for the application due to their ability to process large amounts of data quickly, support touchscreens, and provide security for sensitive information. Some local governments have already deployed the combined software and hardware solution to hundreds of employees to improve social workers' effectiveness.
Sign Language Identification based on Hand GesturesIRJET Journal
This document presents a study on sign language identification based on hand gestures. The researchers aim to develop a system that can recognize American Sign Language gestures from video sequences. They use two different models - a Convolutional Neural Network (CNN) to analyze the spatial features of video frames, and a Recurrent Neural Network (RNN) to analyze the temporal features across frames. The document discusses the methodology used, including data collection from videos, pre-processing of frames, feature extraction using CNN models, and gesture classification. It also provides a literature review on previous studies related to sign language recognition and communication systems for deaf people.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroupMohammed Cherif
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
IOT: The Evolving World of Realtime BigData by Jerry PowerData Con LA
Abstract:- IOT technology will allow big data structures to evolve from static off line repositories of digital knowledge to on-line representations of our current world. IOT will allow the techniques used with big data to identify trends and forecast future to become operationally enabled data structures that allow us to manage our digital environment for maximal advantage. The road to this reality has several hurdles that must first be overcome. Among these hurdles are trust, privacy, discovery, and behavioral economics. These issues will be discussed in the context of a large city operations network and potential options to overcome these hurdles will be offered.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects through sensors and software to enable the collection and exchange of data. This allows objects to be more integrated and provide more value through services. The number of connected devices is growing rapidly and transforming many industries. Key drivers include lower costs of sensors, processing power, and connectivity. Common applications discussed include smart homes, cities, healthcare, and industrial uses. The document also examines how IoT is changing business models to focus on services and recurring revenue through data and connectivity between products.
The document discusses how the Internet of Things (IoT) is revolutionizing healthcare through connecting physical objects via sensors and communication technologies. It provides examples of IoT applications in healthcare like remote patient monitoring and smart hospitals. Specifically, it summarizes research on CellChek, a cost-effective mobile healthcare system that uses sensors on mobile phones and the least costly wireless interface like free WiFi to upload patient medical data. It also describes a proposed smart hospital system that uses near field communication technologies like RFID and QR codes to automate workflows and improve efficiency and safety.
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
Hospital Supply Chain Excellence
19-20 July 2017
Pullman Bangkok Grande Sukhumvit, Thailand
Case Study IoT:
The new era of an enhanced digital supply chain for healthcare systems
• Why do hospitals need to integrate with IoT?
• RTLS: A real-time locating system. What’s the hidden benefits beyond tracking?
• RTLS+: Enhancing the vision of 2nd generation in RTLS – Process improvement by eliminate non-productive transaction • 5 case studies of IoT application in healthcare facilities
Thamanoon Vechvittyakahlung Medical Director Nippon Sysit - RTLS Technology for Healthcare Thailand
The document discusses Internet of Things (IoT). It defines IoT as physical devices embedded with electronics, software and sensors that can connect and exchange data. It notes that the number of IoT devices increased 31% to 8.4 billion in 2017. Common IoT applications discussed include smart homes, smart traffic/parking systems, smart farming, and more. Key IoT sensors like temperature, presence, pressure, water quality and smoke sensors are also explained.
IRJET- Data Visualization using Augmented RealityIRJET Journal
This document summarizes a research paper on using augmented reality for data visualization. It discusses how augmented reality can provide a 3D view of machines in an industry by overlaying 3D models onto the camera view. Sensors collect real-time machine data that is stored in a cloud database. When users view machines through their device camera, they can see status information by clicking on the overlaid 3D models. The document also discusses challenges like hardware limitations, information filtering, and tracking accuracy that must be addressed for practical augmented reality applications.
IRJET- Sixth Sense Technology: A Gesture-Based Wearable Computing ReviewIRJET Journal
The document discusses Sixth Sense technology, which uses gestures to integrate digital information with the physical world. It allows users to access and interact with digital data through natural hand motions. The technology includes a camera, projector, and mobile device connected to a computer. It recognizes gestures like facial expressions and hand movements to control applications and virtual objects. The document reviews the technology's potential uses and prior research in the field of human-computer interaction through gesture recognition. It examines Sixth Sense as a potential solution for intelligent home security systems through sensors that can identify people and detect suspicious activity.
This document discusses the Internet of Things (IoT) and Tata Consultancy Services' (TCS) Connected Universe Platform (TCUP) for addressing IoT. It provides an overview of TCS, the requirements and challenges of IoT platforms, and the key components of TCUP including its architecture, analytics capabilities, and applications. TCUP aims to provide visibility into sensor data, insights through analytics, and control through a scalable and affordable platform to bridge the gap between sensors and applications. The document highlights several research publications and applications developed using TCUP.
This document presents a real-time hand gesture recognition method. It discusses algorithms like 3D model-based, skeletal-based, and appearance-based for hand gesture recognition. The process involves hand detection, tracking, segmentation, and recognition. Features, advantages, and applications are also covered. The method uses fast hand tracking, segmentation, and multi-scale feature extraction for accurate recognition. It concludes with discussing potential for continued progress in areas like sign language recognition and accessibility.
This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
The Internet of Things (IoT for Beginners Guide)Ashish Kumar
You might have heard plenty of jargons related to the internet, but the one that has become a buzzword recently and is broken into the mainstream as potentially the most significant term for the way we communicate, work and live in the near future is: The Internet of Things (IoT). Today, everyone is talking about the Internet of Things (IoT) from the newspaper to tech blogs. But what, exactly, is the IoT for beginners? Let’s find out. For more details visit: https://goo.gl/qT4LYA
The Internet of Things (IoT) is an umbrella term which covers a broad repertoire of sensors, applications, technologies, and use cases as they are enabled by the network of objects and devices with an IP address (Internet Protocol). Smart locks, smart cars, smart security system, smart thermostats, and smart health monitor are some of the examples of The Internet of Things (IoT) you’ve probably heard recently, and you’re going to hear more as the year progresses.
Analytics as-a-service-io t-asia-arpanpalArpan Pal
This document discusses analytics as a service for the Internet of Things (IoT). It describes how IoT platforms need to support visibility, insights, and control through analytics. The document outlines challenges for IoT analytics like scalability, affordability, fusion of sensor data, and ease of development. It proposes an analytics-as-a-service model using Tata Consultancy Services' IoT platform to address these challenges. Examples of IoT analytics services discussed include anomaly detection using health sensor data, behavior sensing using mobile phones, measurement using camera vision, causal analysis, prognosis, and planning.
(1) The document discusses sensors in smart devices that are part of the Internet of Everything (IoE). It describes how smart devices can sense their environment using various sensors and communicate data over the internet.
(2) It provides details on the types of sensors in smart devices like smartphones, including touchscreens, motion sensors, multimedia sensors, and explains how they are used both actively and passively to collect data.
(3) The architecture of smart devices is described, including processors, memory, and the role of sensors in collecting analog data that is converted and analyzed. Privacy and security issues related to collection and analysis of sensor data are also mentioned.
The document discusses the architecture of Internet of Things (IoT) systems. It describes IoT as a world where all devices and objects are connected and can generate data. It then outlines a 5-layer architecture for IoT: 1) Devices/sensors that collect data; 2) Edge computing for local processing; 3) Access technologies like 5G that connect devices; 4) Gateways that aggregate data; and 5) Cloud computing that analyzes data to enable automated decisions and insights. Each layer has distinct characteristics to support IoT applications across industries.
This document discusses the challenges of scaling IoT initiatives to generate ROI within 18 months as recommended. While IoT projects are collecting huge amounts of data across industries, only 1% of the data is being properly analyzed to produce actionable insights. This leads to 275% of IoT projects failing to achieve their financial goals due to a lack of expertise in scaling solutions to leverage the full potential of collected data through analytics and machine learning. The document promotes an innovative cloud platform to help organizations securely connect devices, scale their big data infrastructure, and generate insights to maximize ROI from IoT implementations.
IRJET- Enhanced Look Based Media Player with Hand Gesture RecognitionIRJET Journal
The document describes a proposed enhanced media player that uses face detection and hand gesture recognition to control playback. Specifically, it will:
1. Continuously monitor the user's face using a webcam and only play the video when the user is looking at the screen, pausing otherwise.
2. Detect hand gestures like raising a hand to increase volume, decrease volume, switch to the next video, or previous video.
3. The system is intended to provide a better media playback experience by automating control and preventing the user from missing parts of a video if they look away. Both face detection and hand gesture recognition are implemented using computer vision algorithms like HAAR cascades.
Avco Systems created a software application called Single View of the Child to centralize information for social workers from multiple sources into a single interface. This would allow social workers accessing the information from mobile devices in the field. SCC identified Intel Core processor-based mobile devices as best suited for the application due to their ability to process large amounts of data quickly, support touchscreens, and provide security for sensitive information. Some local governments have already deployed the combined software and hardware solution to hundreds of employees to improve social workers' effectiveness.
Sign Language Identification based on Hand GesturesIRJET Journal
This document presents a study on sign language identification based on hand gestures. The researchers aim to develop a system that can recognize American Sign Language gestures from video sequences. They use two different models - a Convolutional Neural Network (CNN) to analyze the spatial features of video frames, and a Recurrent Neural Network (RNN) to analyze the temporal features across frames. The document discusses the methodology used, including data collection from videos, pre-processing of frames, feature extraction using CNN models, and gesture classification. It also provides a literature review on previous studies related to sign language recognition and communication systems for deaf people.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroupMohammed Cherif
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
This document discusses human identification schemes (HIS) used to distinguish human users from software bots on the web. It describes the key components of HIS, including server-side activities like database management and client-side activities involving user interfaces and input/output devices. Various existing human identification techniques are evaluated in categories like fully interactive, hybrid, and non-interactive. The document proposes a new technique that aims to remove drawbacks of current methods while merging benefits from top-scoring techniques. The goal is to develop more effective yet less annoying identification systems for protecting web services from bot abuse.
TOUCHLESS ECOSYSTEM USING HAND GESTURESIRJET Journal
The document describes a touchless ecosystem using hand gestures that was developed during the COVID-19 pandemic. It uses the handpose model with TensorFlow.js to detect 21 3D landmarks on the hand and recognize gestures like pinching. This allows users to interact with devices like check-in kiosks without touching them, reducing disease transmission. The system was created using Django for the web application framework and connects the front-end interface to backend services. It captures variations of hand positions to train a click gesture recognized as pinching the thumb and index finger twice in quick succession. This gesture can then be used to click on elements in the touchless interface.
List of top 5 emerging technologies for businessSameerShaik43
With the New Year 2021 fast approaching, innovation leaders should take into consideration a few emerging technologies for business. Industry experts claim some future tech trends which can be safely stated to be much more than mere hype. As per reports, these technologies are reported to show immense assurance of providing companies with a significant competitive advantage.
With EOfactory.ai, domain experts can
focus on their domain-related workflows and use automation for some of the other repeatable tasks
such as downloading imagery and
preprocessing.
The document summarizes research on using predictive modeling to predict how well people perform specific exercises at the gym based on data from wearable sensors. It describes applying classification tree and random forest models to a dataset containing sensor data from participants performing bicep curls. Classification trees work by recursively splitting the data into partitions to predict the exercise class, while random forests create many classification trees and have the trees vote to make predictions. The models were able to accurately predict the exercise class based on the sensor data.
This document provides an overview of artificial intelligence (AI) and its applications in enterprises. It examines real use cases for AI, challenges, and opportunities. Key areas where AI can provide value for enterprises are enterprise intelligence, computer vision, and conversational AI. Enterprise intelligence involves analyzing multiple internal and external datasets to extract insights, predictions, and recommendations. Computer vision allows machines to "see" and interpret images. Conversational AI allows machines to communicate using natural language. The document also provides case studies of how companies like Stripe and DBS are using AI.
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
1. New Patent Development Opportunity Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
4. Monetization Exploiting Strategically Packaged Patent Portfolio
5. Development of Strategically Packaged Patent Portfolio Best Practice
6. Methodology for Developing Strategically Packaged Patent Portfolio
This document provides an overview of artificial intelligence and how companies can leverage different types of AI. It discusses assisted intelligence which improves existing processes, augmented intelligence which enables new capabilities, and autonomous intelligence which allows machines to act independently. The document uses examples like agricultural apps that maximize crop yields, Netflix's personalized recommendations, and how AI is being applied in areas like healthcare, transportation, science and more. It emphasizes that while AI adoption is still in early stages, it will fundamentally change many industries and jobs over the coming years.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
State of AI Report 2023 - ONLINE presentationssuser2750ef
State of AI Report 2023 - ONLINE.pptx
When conducting a PEST analysis for the Syrian conflict, it's important to consider the political, economic, socio-cultural, and technological factors that have influenced and continue to impact the situation in Syria. Here's a high-level overview of a PEST analysis for the Syrian conflict:
1. Political Factors:
- Government Instability: Ongoing civil war and conflict have led to political instability and a complex power struggle between various factions and international players.
- Foreign Intervention: Involvement of external powers and regional actors has exacerbated the conflict and added geopolitical complexities to the situation.
- International Relations: Relations with global powers like the United States, Russia, and regional players like Iran and Turkey significantly impact the conflict dynamics.
2. Economic Factors:
- Humanitarian Crisis: The conflict has resulted in a severe humanitarian crisis, causing widespread displacement, destruction of infrastructure, and economic decline.
- Sanctions and Trade Barriers: International sanctions and disrupted trade have further worsened the economic situation in Syria, affecting the livelihoods of the population.
- Resource Depletion: Conflict-driven resource depletion, including loss of agricultural lands and disruption of industries, has weakened the economy.
3. Socio-cultural Factors:
- Civilian Suffering: The conflict has led to a significant loss of life, displacement of populations, and severe trauma among civilians, impacting social cohesion and community structures.
- Ethnic and Religious Divisions: Deep-seated ethnic and religious divisions have fueled the conflict, leading to sectarian tensions and societal fragmentation.
- Refugee Crisis: The conflict has triggered a massive refugee crisis, with millions of Syrians seeking asylum in neighboring countries and beyond, straining regional stability.
4. Technological Factors:
- Communication and Propaganda: Technology, including social media, has been used for communication, mobilization, and spreading propaganda by various actors in the conflict.
- Warfare Technology: Advancements in warfare technology and the use of drones, cyber warfare, and other advanced weaponry have transformed the nature of conflict in Syria.
- Cybersecurity Concerns: The conflict has also raised concerns about cybersecurity threats, misinformation campaigns, and digital vulnerabilities in the region.
This analysis provides a broad understanding of the multifaceted nature of the Syrian conflict, highlighting the diverse factors at play and the complex challenges facing Syria and the international community.
Copy of State of AI Report 2023 - ONLINE.pptxmpower4ru
The document provides an overview and summary of the 2023 State of AI Report produced by Nathan Benaich and the Air Street Capital team. It discusses key dimensions covered in the report including research, industry, politics, safety, and predictions. In the research section, it summarizes progress made in large language models, diffusion models, multimodality, and applications in life sciences. The industry section summarizes growth in the AI sector, demand for GPUs, and investments in generative AI applications. The politics section discusses regulatory approaches and geopolitics around AI and chips. It also includes a scorecard reviewing predictions made in the 2022 report.
This document discusses edge computing and distributed intelligence. It begins with definitions of edge computing and fog computing, noting that fog computing refers to computing near the data source rather than in centralized data centers. It then explores architectural choices for distributed intelligence, including moving computation to data sources using multi-tier IoT architectures that incorporate edge devices, gateways and cloud computing. The document discusses how distributed intelligence can create business value by gaining insights from customer data sources. It provides examples of sensing modalities that could be leveraged and recommends evaluating streaming data from various sources to gain insights.
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
This document describes a study on hand gesture identification using the Mediapipe framework. The goal is to develop a system to translate American Sign Language (ASL) gestures into text by recognizing 21 3D landmarks on the hand. It discusses related work on sign language recognition using both vision-based and sensor-based approaches. The implementation methodology section describes using Mediapipe's hand tracking model to detect hand landmarks and then using KNN classification to identify the ASL alphabet gestures. Results show the system can currently recognize ASL alphabet signs in real-time with 86-91% accuracy on average. Future work includes improving the system with more training data to increase accuracy and expand the vocabulary of signs recognized.
The Robos Are Coming - How AI will revolutionize Insurance 0117Graham Clark
1) Artificial intelligence and intelligent systems will transform many industries including banking and insurance by automating large portions of jobs currently performed by humans.
2) New intelligent concepts like digital assistants, semantic analysis, computer vision, augmented reality, and robotic process automation will impact customer experiences, product offerings, and business functions within insurance.
3) Insurance companies will be able to offer more personalized products and services using intelligent systems, and may require policyholders to use internet-connected devices or home automation to reduce risks and provide more customized coverage.
Similar to Patent Landscape Report on Hand Gesture Recognition by PatSeer Pro (20)
This document provides an overview of the PatSeer patent research and analysis platform. Some key points:
- PatSeer has over 89 million full text patent records covering 65 countries and 127 million bibliographic records covering over 100 countries.
- It features a hybrid search engine allowing publication, family, and application based searches. Tools include an AI-powered NLP search engine, assignee/inventor search aids, and litigation data integration.
- Users can analyze results, set up alerts, and collaborate on projects with customizable fields, ratings, and interactive dashboards for sharing insights across teams.
Patent landscape report on optogenetics by PatSeerGridlogics
This Patent Landscape Report on Optogenetics analyzes research trends with a focus on Targeting Techniques, Sensors, Light Equipments, Actuators and Applications and also highlights the key Applicants involved in this space
Patent Landscape Report on Contactless Payments by PatSeer ProGridlogics
This Patent Landscape Report takes a look at the Intellectual property trends and filings being done by companies and institutions active in this technology area.
Patent Landscape Report on Graphene by PatSeer ProGridlogics
Graphene is an allotrope of carbon that is a single layer of carbon atoms arranged in a honeycomb lattice structure. Patent filings for graphene technologies have increased noticeably since 2013, with the highest number filed in 2015. China accounts for over half of worldwide graphene patent filings, followed by South Korea and the US. Top filing companies include Samsung Electronics and various Chinese universities. Common applications researched include electronics, energy storage, composites, and sensors.
Patent Landscape Report on Smart Contact LensGridlogics
This report analyzes research trends of smart contact lens with a focus on components, sensors and materials involved and also highlights the key companies involved in this space.
USING PATSEER TO SEARCH & ANALYZE PATENTS ON INDUCTIVE CHARGINGGridlogics
The patent landscape report named "USING PATSEER TO SEARCH & ANALYZE PATENTS ON INDUCTIVE CHARGING" take a look on Inductive charging from Intellectual property perspective more so from the Patenting activity happening within this technology.
Using PatSeer as database a sequence of steps was used to create search query, results were classified around following three key areas:
• Technologies
• Hardware
• Applications
Detailed analysis of Inductive charging technology can be found in the report.
In this report we have analyzed worldwide patent filings across different patenting authorities. We have considered only published patent applications up to June 2015 for analysis purpose. These applications include Design applications, Plant, Utility Model.For analysis purpose we believe most filing data till mid-2013 is complete since recent filing data is usually not available for some countries and there is always a time lag until a patent application gets published.
Based on analysis done in this report we can see that the emerging economies have not only proved highly competitive in their own backyards, they are also going global themselves. Further electrical engineering and computer technology are the most preferred areas for patent protection.
All search and analysis including all charts in this report have been generated using PatSeer without the use of any other external tools.
PatSeer Projects Edition is well suited for scientific and information departments in companies who are looking for a solution to organise and share all their patent and non-patent research data with R&D, Legal, Marketing and Management. The solution provides you with a seamless way to import and organise patent and non-patent literature from your existing patent and journal databases. You can enrich the raw content with your organisational fields using Hierarchical Categories, Custom fields, Flags, ratings, comments and a lot more. Also with a wide range of Sharing and permission settings, the solution doubles up as a web-based collaboration platform between you and your colleagues/customers.
PatSeer Premier edition is a complete professional patent research package comprising an online global patent database and research platform with integrated analytics, project workflow, and collaboration capabilities. PatSeer Premier quickly exceeds current systems in its analytics, team collaboration and data sharing capabilities.
Patent Landscape Report on Shape Memory Material – Polymer and AlloyGridlogics
A shape-memory alloy (SMA, smart metal, memory metal, memory alloy, muscle wire, smart alloy) is an alloy that "remembers" its original shape and that when deformed returns to its pre-deformed shape when heated. Similarly shape-memory polymers (SMPs) are polymeric smart materials that have the ability to return from a deformed state (temporary shape) to their original (permanent) shape induced by an external stimulus (trigger), such as temperature change.
SMAs also display super elasticity, which is characterized by recovery of unusually large strains. Instead of transforming between the martensite and austenite phases in response to temperature, this phase transformation can be induced in response to mechanical stress. When SMAs are loaded in the austenite phase, the material will transform to the martensite phase above a critical stress, proportional to the transformation temperatures.
SMPs can retain two or sometimes three shapes, and the transition between those is induced by temperature. In addition to temperature change, the shape change of SMPs can also be triggered by an electric or magnetic field, light or solution. As well as polymers in general, SMPs also cover a wide property-range from stable to biodegradable, from soft to hard, and from elastic to rigid, depending on the structural units that constitute the SMP. SMPs include thermoplastic and thermoset (covalently cross-linked) polymeric materials. SMPs are known to be able to store up to three different shapes in memory.
This report covers patent analysis on types and applications of nano fuel additives, its research momentum and key intellectual property indicators. There is considerable difference between the Chinese and US share in application and patents. Chinese applicants accounted for the largest number of patents filed throughout the world. Only 5 (CN, US, JP, WO, EP) out of the total 17 patent offices have reported growth over the last decade. China has recorded double digit growth between 2011-2013. Nano particles is an area where companies have a scope of carrying out research as most of the companies focus on few of the total nano particles used as fuel additives. In spite of the fact that Chevron has smaller portfolio than the major companies; it can be seen that companies like Shell and UOP have cited its records indicating a likely overlap in their R&D focus. This report was prepared using PatSeer and Patent iNSIGHT Pro.
This report takes a look into the patenting activity around gallium Nitride uncovering the companies, inventors, and key applications.
GaN is a binary III-V direct bandgap semiconductor commonly used in LEDs. Its wide-band gap of 3.4 eV affords its special properties for applications in optoelectronic, high-power and high-frequency devices. Because GaN offers very high breakdown voltages, high electron mobility, and saturation velocity it is also an ideal candidate for high-power and high-temperature microwave applications like RF power amplifiers at microwave frequencies and high-voltage switching devices for power grids. Solutions that use GaN-based RF transistors are also replacing the magnetrons used in microwave ovens.
Gallium Nitride (GaN) transistor models have evolved from GaAs (gallium arsenide) transistor models; however there are many advantages GaN offers:
• Higher operating voltage (over 100-V breakdown)
• Higher operating temperature (over 150°C channel temperature)
• Higher power density (5 to 30 W/mm)
• Durable and crack-resistant material
GaN devices are often grown on SiC (silicon carbide) substrates, but to achieve lower-cost GaN devices, they can be grown on sapphire and silicon wafers. GaN’s wide bandgap allows for higher breakdown voltages and operation at high temperatures. The high thermal conductivity of SiC makes it a better substrate than silicon for power amplifier applications that require good heat sinking.
PatSeer as a global Patent database is being used by IPR professionals from various domains ranging from Pharmaceutical, Chemical, Engineering, Law firms etc., and has full-text coverage of 19 authorities in addition to 102+ countries bibliographic coverage.
PatSeer Lite is a professional search edition well suited for search -> filter/narrow down results-> export type of projects.
The key benefits of on-demand access to PatSeer Lite are:
1. Most Flexible Subscription Plans: Available on a Daily, Monthly and Quarterly access (in addition to Annual)
2. Zero Upfront Spending: Get your user-id for free the first time and pay for access only when you need it.
3. Eliminate Guesswork on your expected workload: No long-term commitments or associated hassles!
4. Simplified on-demand activation anytime of the day: Credit-card based subscription purchase or renewal with automatic account activation
5. Professional Search Made Easy: Easy to use search forms suited for patent searchers, technology professionals and end-users
Contact lenses are considered medical devices and can be worn to correct vision, or for cosmetic or therapeutic reasons. People choose to wear contact lenses for many reasons. Aesthetics and cosmetics are often motivating factors for people who would like to avoid wearing glasses or would like to change the appearance of their eyes. Other people wear contacts for functional or optical reasons. When compared with spectacles, contact lenses typically provide better peripheral vision, and do not collect moisture such as rain, snow, condensation, or sweat.
Contact lenses can be classified in many different ways. Contact lenses can be separated by their primary function, material, wear schedule i.e. how long a lens can be worn before removing it and replacement schedule i.e. how long before a lens needs to be discarded. Typically, soft contact lenses are mass-produced, while rigid lenses are custom-made to exact specifications for specific individual patients.
When it comes to contact lenses, it’s very important to know exactly what’s inside of them, or better yet, what they’re made of. Materials used have varied throughout the years. Earlier times called for more rigid materials that didn’t allow much oxygen to get to your eye. But as technology has improved, so has the availability of products.
This report takes a look into the patenting activity around contact lens uncovering the inventors, the companies and key technologies and prominent companies within this space.
Using PatSeer to search and analyze patents in Switchgear TechnologyGridlogics
Switchgear is the combination of electrical disconnect switches, fuses or circuit
breakers used to control, protect and isolate electrical equipment. Switchgears are used both to de-energize equipment to allow work to be done and to clear faults downstream. This type of equipment is directly linked to the reliability of the electricity supply.
3D printing or additive manufacturing is a process of making a three-dimensional solid object of virtually any shape from a digital model. 3D printing is achieved using an additive process, where successive layers of material are laid down in different shapes. 3D printing is also considered distinct from traditional machining techniques, which mostly rely on the removal of material by methods such as cutting or drilling (subtractive processes).
This report takes a look into the patenting activity around 3D printing uncovering the inventors, the companies and key technologies and prominent companies within this space.
Graphene is an allotrope of carbon, whose structure is one-atom-thick planar sheets of sp2-bonded carbon atoms that are densely packed in a honeycomb crystal lattice.
The development of this technology is still largely research-based, with a relatively large portion of academic participation, although real-world consumer applications such as flexible touchscreen displays are getting closer to reality and could be widely available within the next few years.
Because of its range of extraordinary properties, people are considering using graphene in a myriad of different applications. For example, because graphene is so strong, people want to use it to reinforce plastics, making them conductive at the same time. Because it's transparent and conducts electricity, people want to use it in applications like mobile phone screens, touch screens, TV screens and so on. People are also considering using it to go beyond silicon technology and make our integrated circuits even denser and speedier.
This report categorizes and graphically analyzes graphene technologies, research activity, applications, companies active in this research area, the filings spread, key comparisons etc.
A fiber that has a width of less than 1000 nanometers (1000 nm or 1 μm) is generally defined as a nano fiber. A nanoparticle is defined as a small group of atoms or molecules with a radius of less than 100 nanometers (100 nm).Particles on the nanoscale have a very high surface area to volume ratio, whereas this ratio is much lower for objects on the macroscopic scale.
Nanofabrics are textiles engineered with small particles that give ordinary materials advantageous properties such as superhydrophobicity, odor and moisture elimination, increased elasticity and strength, and bacterial resistance. Depending on the desired property, a nanofabric is either constructed from nanoscopic fibers called nano fibers, or is formed by applying a solution containing nanoparticles to a regular fabric.
Applications of nanofabrics have the potential to revolutionize textile manufacturing and areas of medicine such as drug delivery and tissue engineering.
This report looks at the patenting activity around nanofabric processes, different applications and highlights the key companies involved, patents were categorized as per key processes and applications and highlights the key companies involved.
This report takes a look into the patenting activity around probiotics uncovering the companies, inventors, intellectual property trends and other key indicators. Probiotics are live microorganisms thought to be beneficial to the host organism.
This report graphically analyzes probiotics markets from many perspectives, categorizes and highlights the key companies involved, defines unique keywords. This report also covers the global probiotics marketplace. It focuses particularly on the markets and opportunities for probiotics in medical applications, formulations, processing technologies, and various microbes. The study considers future opportunities for new application markets.
This report was prepared by mining patent data using Patent iNSIGHT Pro, a comprehensive patent analysis platform that helps one accelerate time-to-decision from patent analysis activities.
Published: Oct 25, 2011
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."