This document provides a summary of recent progress and developments in artificial intelligence from 2018 to early 2019. It discusses advances in photorealistic content generation, natural language processing, speech and sound, games, medicine and biology, large-scale real-life applications, cloud AI, and edge AI. Some of the key developments mentioned include Deepfakes, BERT, GPT-2, AlphaGo Zero, AlphaZero, AlphaStar, DeepMind's AlphaFold, AI assistants, autonomous delivery robots, AI-optimized mobile chips, and the increasing use of cloud-based AI services.
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
A slide deck that supported my recent university lectures during this autumn in Italy (Polytechnic of Bari), Switzerland (EPFL Lausanne) and Poland (SWPS University Warsaw).
It introduces Artificial Intelligence from a business perspective, talks about the need to have a more robust AI tools with AI Ethics and Trust and eventually presents future trajectories such as the Active Intelligence frontier.
HumanTechBiota is acting as the human microbiota
(the collective microorganisms that resides symbiotically in our bodies) having an increasing role for our overall well being
Era of Artificial Intelligence Lecture 7 Pietro LeoPietro Leo
1) The document discusses the evolution of artificial intelligence and some of its applications such as Siri, GPS systems, and self-driving vehicles.
2) It addresses challenges around transparency, trustworthiness, and mitigating risks when working with AI systems.
3) The author is Pietro Leo, an IBM executive architect and thought leader in artificial intelligence who is involved with international standardization efforts around AI through ISO.
Era of Artificial Intelligence - Lecture1 - Pietro LeoPietro Leo
1) The document is a lecture on artificial intelligence given by Pietro Leo, an IBM executive architect and thought leader on AI.
2) It discusses the evolution and applications of AI, from early victories over humans in games like chess to modern uses in healthcare, self-driving vehicles, and facial recognition.
3) Leo argues that AI is becoming increasingly disruptive and pervasive, with cloud computing helping to democratize access and spur new products, services, and companies using this technology.
Reasoning About Machine intuition- David CollsThoughtworks
Machines are now bettering people at a range of specific intuition tasks. How are they doing this and what might be next?
What does this mean for the development and governance of intelligent products and services that we access as consumers and citizens, and what are the implications for the organisations that provide them?
David explores the impact across the product lifecycle, from customer perception, to job design, technology development, knowledge management, risk and ethics.
Examples of Innovation Building Blocks in IBMPietro Leo
IBM utilizes various innovation building blocks to drive innovation, including partnerships and alliances, R&D collaboration, internal innovation programs, building intellectual property and licensing, acquisitions, and incubators/accelerators. Some key programs and strategies mentioned include the MIT-IBM Watson AI Lab, global and local university partnerships in Italy, the IBM 5 in 5 program to generate ideas from employees, and the MindUP accelerator to support startups. Rigorous innovation management processes are also emphasized to successfully implement new ideas.
There is always new and exciting technology coming out each year. Join Brian Pichman of the Evolve Project as he highlights this year’s most significant technology trends and what it means for 2021. What changes are on the horizon? What is going to be the most exciting new technology coming out? Thinking about holiday gifts? This is the session for you!
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
A slide deck that supported my recent university lectures during this autumn in Italy (Polytechnic of Bari), Switzerland (EPFL Lausanne) and Poland (SWPS University Warsaw).
It introduces Artificial Intelligence from a business perspective, talks about the need to have a more robust AI tools with AI Ethics and Trust and eventually presents future trajectories such as the Active Intelligence frontier.
HumanTechBiota is acting as the human microbiota
(the collective microorganisms that resides symbiotically in our bodies) having an increasing role for our overall well being
Era of Artificial Intelligence Lecture 7 Pietro LeoPietro Leo
1) The document discusses the evolution of artificial intelligence and some of its applications such as Siri, GPS systems, and self-driving vehicles.
2) It addresses challenges around transparency, trustworthiness, and mitigating risks when working with AI systems.
3) The author is Pietro Leo, an IBM executive architect and thought leader in artificial intelligence who is involved with international standardization efforts around AI through ISO.
Era of Artificial Intelligence - Lecture1 - Pietro LeoPietro Leo
1) The document is a lecture on artificial intelligence given by Pietro Leo, an IBM executive architect and thought leader on AI.
2) It discusses the evolution and applications of AI, from early victories over humans in games like chess to modern uses in healthcare, self-driving vehicles, and facial recognition.
3) Leo argues that AI is becoming increasingly disruptive and pervasive, with cloud computing helping to democratize access and spur new products, services, and companies using this technology.
Reasoning About Machine intuition- David CollsThoughtworks
Machines are now bettering people at a range of specific intuition tasks. How are they doing this and what might be next?
What does this mean for the development and governance of intelligent products and services that we access as consumers and citizens, and what are the implications for the organisations that provide them?
David explores the impact across the product lifecycle, from customer perception, to job design, technology development, knowledge management, risk and ethics.
Examples of Innovation Building Blocks in IBMPietro Leo
IBM utilizes various innovation building blocks to drive innovation, including partnerships and alliances, R&D collaboration, internal innovation programs, building intellectual property and licensing, acquisitions, and incubators/accelerators. Some key programs and strategies mentioned include the MIT-IBM Watson AI Lab, global and local university partnerships in Italy, the IBM 5 in 5 program to generate ideas from employees, and the MindUP accelerator to support startups. Rigorous innovation management processes are also emphasized to successfully implement new ideas.
There is always new and exciting technology coming out each year. Join Brian Pichman of the Evolve Project as he highlights this year’s most significant technology trends and what it means for 2021. What changes are on the horizon? What is going to be the most exciting new technology coming out? Thinking about holiday gifts? This is the session for you!
Artificial Intelligence In Software TestingHYS Enterprise
Vladimir Arutin presents on the topic of artificial intelligence in software testing. He discusses how AI is being used in various industries like automotive, agriculture, manufacturing, and healthcare. He also talks about different AI tools that can be used for testing, such as testim.io which uses machine learning for test authoring, execution, and maintenance. Finally, he notes both the benefits of using AI in testing, such as early test completion and less time/effort, as well as the risks like high costs and loss of information.
The Internet of Things ..in your classroom
IoT incorporates many technologies familiar to scientists. Data logging, robotics, feedback and control systems/remote control vehicles/helicopters.
This session will investigate through examples of readily available devices technologies of enhance scientific understanding.
Wearables and nearables are becoming readily available. These personal devices use low energy smartbluetooth to initiate contact, then use wifi to contact web services.
Smart Bluetooth (BTLE) beacon technologies will be examined through education examples and potential to be readily adopted in schools and classrooms.
Project report for our work for the "Innovation Foresight and business design" course at Rotman school of Management, University of Toronto.
A futuristic project which would disrupt industries
Who needs spwyare when you have COVID-19 apps?Megan DeBlois
With the current pandemic, privacy concerns have emerged around the large number of applications being published and promoted around the globe. From symptom tracking to contact tracing, the COVID-19 App Tracker Project (https://covid19apptracker.org) aims to automate detection of new and modified applications published on the Google Play Store.
Our session will discuss C19 app trends around the globe, emerging concerns, and what is required for greater transparency around the applications created and data collected by governments around the world.
Agile at the Intersection of Mobile, Cloud, and the Internet of ThingsTechWell
The Internet of Things (IoT) will be a $1.7 trillion market by 2020. Don MacIntyre explains how agile is being used in Internet of Things systems—often combined with mobile and cloud technologies. Don reviews how agile is successfully being used today in a wide range of development environments, including software as a service applications, large and complex mission critical systems, and for both mobile software and hardware. Don looks closely at IoT, examines how it is disrupting many traditional markets, and explores how traditional device manufacturers are applying agile. Learn which agile patterns are working for IoT and how to apply them to developing embedded code, physically building new devices, and integrating IoT systems with mobile and cloud applications. Take away new knowledge of IoT opportunities and an understanding of how agile is being used for complex projects well beyond traditional software applications.
Making a Better World with Technology InnovationsImesh Gunaratne
The document discusses strategic technology trends for 2015 and recent innovations that can help make the world better. It outlines 10 strategic trends including computing everywhere, the internet of things, and smart machines. Recent innovations highlighted include agile robots, car-to-car communication, Project Loon for internet access, and agricultural drones. The benefits of open source are explained such as flexibility, more eyes finding bugs, and lower costs. The document advocates focusing on technology trends, innovating to find gaps, and using innovations to positively change the world.
How Decentralized AI can Dominate the Global AI EcosystemEficode
Ben Goertzel
CEO – SingularityNET, Chief Scientist – Hanson Robotics, the creator of the robot Sophia.
Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond.
This document discusses Google Glass technology, including its features, applications, and uses. Some key points:
- Google Glass is an optical head-mounted display designed as a pair of eyeglasses. It allows the wearer to access the internet, take photos and videos, and get information through voice commands.
- Features include augmented and virtual reality capabilities, a camera, touchpad, display, and connectivity to smartphones. It uses Android operating system and can run various applications.
- Applications include uses in healthcare like telemedicine, journalism for live reporting, and potential military/sports applications that take advantage of its first-person point of view.
- The goals are for it to be an easy to use, hands
Accelerate AI w/ Synthetic Data using GANsRenee Yao
Renee Yao from NVIDIA gave a presentation on using generative adversarial networks (GANs) to generate synthetic data. She discussed how GANs work by having two neural networks, a generator and discriminator, compete against each other. She then provided several examples of real-world applications of GANs, including generating images, video, and medical data. She concluded by discussing NVIDIA's DGX systems for powering large-scale deep learning and GAN projects.
This whitepaper provides an overview of artificial intelligence (AI) and its commercialization. It discusses the history and development of AI from early pattern recognition (AI 1.0) to today's deep learning (AI 2.0) to the emerging contextual reasoning (AI 3.0). Key points include how transfer learning and increased computing power are driving new AI applications and how AI is being applied commercially in healthcare, manufacturing, logistics, and other industries. The document also addresses the global demand for AI talent and the challenges of developing reliable AI systems that can operate under changing conditions.
The document contains several technology news articles.
1) Facebook announced a new program to allow users to pay to promote friends' posts without permission, raising privacy concerns.
2) Silicon Labs will collaborate with EEMBC to develop an ultra-low power microcontroller benchmark.
3) A new tablet app from Harvard researchers aims to more objectively diagnose concussions on the sidelines compared to subjective standard tests.
How to use Generative AI to make app testing easy.pdfpCloudy
Generative AI can enhance app testing in several ways:
1. It can analyze app behavior and data to quickly detect bugs and issues.
2. It can automatically generate comprehensive test cases to improve coverage of scenarios and inputs.
3. Future opportunities include generating test data, automating test case creation, and simulating user behavior to identify usability issues.
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.
The document describes several technology startup ideas and prototypes including:
1. X-Rift, an augmented reality mobile game that uses an in-house AR engine and supports multiplayer online shooting.
2. Prixel, a 3D printing solution that translates paintings into 3D models that can be printed, allowing customers to buy high-quality copies of famous works of art.
3. M2ERP, a "Smart Sensor" platform and cloud service that connects various wireless sensors to build business processes using structured sensor data and integrate with ERP systems. The company has developed prototypes.
This edition is packed with contributions from people across Endava, and covers many industries. It contains really cool, innovative projects that span robotics, business intelligence, security and payments. These projects are the cutting edge of the industry, and we often use these as inspiration for clients who are embarking on a Digital Transformation programme.
Here are some highlights from the report:
# Robotics
# City-based Wifi
# PC on a stick
# The IoT infrastructure: Brillo, Thread and Weave
# Video walls in retail
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
Artificial intelligence and sensor based assistive sytem for visually impaire...Gyana Ranjan Tripathy
This is seminar topic based on IEEE paper.The link is following
https://ieeexplore.ieee.org/document/8389401 .This is one of the best topic for seminar of 4th yr btech student belongs to the branch I&E,Electronics,Computer science etc.
Technical Report on Google Glass/Department of INFORMATION TECHNOLOGYSYED HOZAIFA ALI
Google Glass will have a voice-activated assistant similar to
Siri to help users get information and accomplish tasks hands-free.
Camera: The built-in camera will allow users to take photos and record
videos discreetly with voice commands.
Navigation: Google Glass will have GPS navigation capabilities to help
users get from place to place.
Information: Users will be able to get information like weather, stock
prices, sports scores, and more instantly displayed before their eyes.
Connectivity: Google Glass will allow users to stay constantly
connected to email, messages, and social networks without needing to
pull out a phone.
So in summary, Google Glass has the potential to be a groundbreaking
Exploring solutions for humanity's greatest challengesAlison B. Lowndes
This document discusses exploring solutions to humanity's greatest challenges across different worlds and realities using AI. It covers topics like modern gaming, synthetic worlds, visual computing, embodied AI, world simulation, digital twins, and Nvidia's Omniverse platform. The goal is to use techniques like physics simulation, rendering, sensors and AI to create virtual representations of the physical world and enable real-time synchronization between the two worlds.
Artificial Intelligence In Software TestingHYS Enterprise
Vladimir Arutin presents on the topic of artificial intelligence in software testing. He discusses how AI is being used in various industries like automotive, agriculture, manufacturing, and healthcare. He also talks about different AI tools that can be used for testing, such as testim.io which uses machine learning for test authoring, execution, and maintenance. Finally, he notes both the benefits of using AI in testing, such as early test completion and less time/effort, as well as the risks like high costs and loss of information.
The Internet of Things ..in your classroom
IoT incorporates many technologies familiar to scientists. Data logging, robotics, feedback and control systems/remote control vehicles/helicopters.
This session will investigate through examples of readily available devices technologies of enhance scientific understanding.
Wearables and nearables are becoming readily available. These personal devices use low energy smartbluetooth to initiate contact, then use wifi to contact web services.
Smart Bluetooth (BTLE) beacon technologies will be examined through education examples and potential to be readily adopted in schools and classrooms.
Project report for our work for the "Innovation Foresight and business design" course at Rotman school of Management, University of Toronto.
A futuristic project which would disrupt industries
Who needs spwyare when you have COVID-19 apps?Megan DeBlois
With the current pandemic, privacy concerns have emerged around the large number of applications being published and promoted around the globe. From symptom tracking to contact tracing, the COVID-19 App Tracker Project (https://covid19apptracker.org) aims to automate detection of new and modified applications published on the Google Play Store.
Our session will discuss C19 app trends around the globe, emerging concerns, and what is required for greater transparency around the applications created and data collected by governments around the world.
Agile at the Intersection of Mobile, Cloud, and the Internet of ThingsTechWell
The Internet of Things (IoT) will be a $1.7 trillion market by 2020. Don MacIntyre explains how agile is being used in Internet of Things systems—often combined with mobile and cloud technologies. Don reviews how agile is successfully being used today in a wide range of development environments, including software as a service applications, large and complex mission critical systems, and for both mobile software and hardware. Don looks closely at IoT, examines how it is disrupting many traditional markets, and explores how traditional device manufacturers are applying agile. Learn which agile patterns are working for IoT and how to apply them to developing embedded code, physically building new devices, and integrating IoT systems with mobile and cloud applications. Take away new knowledge of IoT opportunities and an understanding of how agile is being used for complex projects well beyond traditional software applications.
Making a Better World with Technology InnovationsImesh Gunaratne
The document discusses strategic technology trends for 2015 and recent innovations that can help make the world better. It outlines 10 strategic trends including computing everywhere, the internet of things, and smart machines. Recent innovations highlighted include agile robots, car-to-car communication, Project Loon for internet access, and agricultural drones. The benefits of open source are explained such as flexibility, more eyes finding bugs, and lower costs. The document advocates focusing on technology trends, innovating to find gaps, and using innovations to positively change the world.
How Decentralized AI can Dominate the Global AI EcosystemEficode
Ben Goertzel
CEO – SingularityNET, Chief Scientist – Hanson Robotics, the creator of the robot Sophia.
Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond.
This document discusses Google Glass technology, including its features, applications, and uses. Some key points:
- Google Glass is an optical head-mounted display designed as a pair of eyeglasses. It allows the wearer to access the internet, take photos and videos, and get information through voice commands.
- Features include augmented and virtual reality capabilities, a camera, touchpad, display, and connectivity to smartphones. It uses Android operating system and can run various applications.
- Applications include uses in healthcare like telemedicine, journalism for live reporting, and potential military/sports applications that take advantage of its first-person point of view.
- The goals are for it to be an easy to use, hands
Accelerate AI w/ Synthetic Data using GANsRenee Yao
Renee Yao from NVIDIA gave a presentation on using generative adversarial networks (GANs) to generate synthetic data. She discussed how GANs work by having two neural networks, a generator and discriminator, compete against each other. She then provided several examples of real-world applications of GANs, including generating images, video, and medical data. She concluded by discussing NVIDIA's DGX systems for powering large-scale deep learning and GAN projects.
This whitepaper provides an overview of artificial intelligence (AI) and its commercialization. It discusses the history and development of AI from early pattern recognition (AI 1.0) to today's deep learning (AI 2.0) to the emerging contextual reasoning (AI 3.0). Key points include how transfer learning and increased computing power are driving new AI applications and how AI is being applied commercially in healthcare, manufacturing, logistics, and other industries. The document also addresses the global demand for AI talent and the challenges of developing reliable AI systems that can operate under changing conditions.
The document contains several technology news articles.
1) Facebook announced a new program to allow users to pay to promote friends' posts without permission, raising privacy concerns.
2) Silicon Labs will collaborate with EEMBC to develop an ultra-low power microcontroller benchmark.
3) A new tablet app from Harvard researchers aims to more objectively diagnose concussions on the sidelines compared to subjective standard tests.
How to use Generative AI to make app testing easy.pdfpCloudy
Generative AI can enhance app testing in several ways:
1. It can analyze app behavior and data to quickly detect bugs and issues.
2. It can automatically generate comprehensive test cases to improve coverage of scenarios and inputs.
3. Future opportunities include generating test data, automating test case creation, and simulating user behavior to identify usability issues.
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.
The document describes several technology startup ideas and prototypes including:
1. X-Rift, an augmented reality mobile game that uses an in-house AR engine and supports multiplayer online shooting.
2. Prixel, a 3D printing solution that translates paintings into 3D models that can be printed, allowing customers to buy high-quality copies of famous works of art.
3. M2ERP, a "Smart Sensor" platform and cloud service that connects various wireless sensors to build business processes using structured sensor data and integrate with ERP systems. The company has developed prototypes.
This edition is packed with contributions from people across Endava, and covers many industries. It contains really cool, innovative projects that span robotics, business intelligence, security and payments. These projects are the cutting edge of the industry, and we often use these as inspiration for clients who are embarking on a Digital Transformation programme.
Here are some highlights from the report:
# Robotics
# City-based Wifi
# PC on a stick
# The IoT infrastructure: Brillo, Thread and Weave
# Video walls in retail
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
Artificial intelligence and sensor based assistive sytem for visually impaire...Gyana Ranjan Tripathy
This is seminar topic based on IEEE paper.The link is following
https://ieeexplore.ieee.org/document/8389401 .This is one of the best topic for seminar of 4th yr btech student belongs to the branch I&E,Electronics,Computer science etc.
Technical Report on Google Glass/Department of INFORMATION TECHNOLOGYSYED HOZAIFA ALI
Google Glass will have a voice-activated assistant similar to
Siri to help users get information and accomplish tasks hands-free.
Camera: The built-in camera will allow users to take photos and record
videos discreetly with voice commands.
Navigation: Google Glass will have GPS navigation capabilities to help
users get from place to place.
Information: Users will be able to get information like weather, stock
prices, sports scores, and more instantly displayed before their eyes.
Connectivity: Google Glass will allow users to stay constantly
connected to email, messages, and social networks without needing to
pull out a phone.
So in summary, Google Glass has the potential to be a groundbreaking
Exploring solutions for humanity's greatest challengesAlison B. Lowndes
This document discusses exploring solutions to humanity's greatest challenges across different worlds and realities using AI. It covers topics like modern gaming, synthetic worlds, visual computing, embodied AI, world simulation, digital twins, and Nvidia's Omniverse platform. The goal is to use techniques like physics simulation, rendering, sensors and AI to create virtual representations of the physical world and enable real-time synchronization between the two worlds.
The document discusses that artificial intelligence will drive the fourth industrial revolution and transform many jobs and industries over the next decade. It provides examples of generative AI technologies that can actively generate results for users in areas like image creation, music generation, and video production. The document also discusses challenges that may arise from increased use of AI, like job losses, and how companies can make decisions using internal corporate data and AI.
A student project aims to build a system that converts visual input into audio signals to help the blind or visually impaired navigate. The project's objectives are to develop a prototype device that uses image processing and computer vision techniques to detect objects and hazards, and converts that visual information into audio cues. The system would integrate technologies like image segmentation, enhancement, and 3D modeling with an acoustic interface to describe a user's surroundings. A Pandaboard single-board computer with OpenCV is used to process images from a webcam in real-time and translate them into audio descriptions for visually impaired users.
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry;Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Similar to Ai lastyearprogress-atlas-2019-04-26-190428120255 (20)
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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.
11. Example: Face editing by GAN
https://twitter.com/reza_zadeh/status/1098513886456598529
12. Example: Face editing by GAN
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color,
https://arxiv.org/abs/1902.06838, https://github.com/JoYoungjoo/SC-FEGAN
22. Smart Speakers
DELOITTE Global predicts that the industry
for smart speakers—internet-connected
speakers with integrated digital voice
assistants—will be worth US$7 billion in
2019, selling 164 million units at an average
selling price of US$43.1 We expect 2018 sales of 98 million units at an average of
US$44 each, for a total industry revenue of US$4.3 billion. This 63 percent growth
rate would make smart speakers the fastest-growing connected device category
worldwide in 2019, and lead to an installed base of more than 250 million units by
year-end.
https://www2.deloitte.com/insights/us/en/industry/technology/technology-media-and-telecom-predictions/smart-speaker-voice-computing.html
23. New approaches: 2.5D sound
Converting monaural audio into binaural audio by leveraging video
2.5D Visual Sound, https://arxiv.org/abs/1812.04204
https://www.youtube.com/watch?v=t_7qpPOmsME
37. AlphaZero
http://science.sciencemag.org/content/362/6419/1087
“AlphaZero shows us that machines can be the experts,
not merely expert tools. Explainability is still an issue —
it's not going to put chess coaches out of business just
yet. But the knowledge it generates is information
we can all learn from. Alpha-Zero is surpassing us in a
profound and useful way, a model that may be
duplicated on any other task or field where virtual
knowledge can be generated.”
-- Garry Kasparov
Chess, a Drosophila of reasoning,
Science 07 Dec 2018
39. Dota 2: OpenAI Five
(Jun 25, 2018) Our team of five neural networks, OpenAI Five, has started to
defeat amateur human teams at Dota 2.
(Aug 5, 2018) OpenAI Five won a best-of-three against a team of 99.95th
percentile Dota players. The human team won game three after the audience
adversarially selected Five’s heroes.
(Aug 23, 2018) OpenAI Five lost two games against top Dota 2 players at
The International in Vancouver this week, maintaining a good chance of winning
for the first 20-35 minutes of both games.
(Apr 13, 2019) In a series of live competitions between the reigning Dota 2
world champion team OG and the five-bot team OpenAI Five, the AI won two
matches back-to-back, settling the best-of-three tournament.
https://blog.openai.com/openai-five/
41. AlphaStar vs. Humans: 10-1
https://www.youtube.com/watch?v=DMXvkbAtHNY
https://www.engadget.com/2019/01/24/deepmind-ai-starcraft-ii-demonstration-tlo-mana/
“The AI agent, named AlphaStar, managed to pick up 10
wins against StarCraft II pros TLO and MaNa in two separate
five-game series that originally took place back in December.
After racking up 10 straight losses, the pros finally scored a
win against the AI when MaNa took on AlphaStar in a live
match streamed by Blizzard and DeepMind.”
42. AlphaGo approach in other domains
Learning to Plan Chemical Syntheses
https://arxiv.org/abs/1708.04202
46. Predicting eye disease with Moorfields Eye Hospital
https://deepmind.com/blog/predicting-eye-disease-moorfields/
In August, we announced the first stage of our joint
research partnership with Moorfields Eye Hospital, which
showed how AI could match world-leading doctors at
recommending the correct course of treatment for
over 50 eye diseases, and also explain how it arrives at
its recommendations.
Now we’re excited to start working on the next research
challenge – whether we can help clinicians predict eye
diseases before symptoms set in.
47. Clara AI lets every radiologist teach their own AI
https://blogs.nvidia.com/blog/2019/03/18/clara-ai-gtc/
Clara AI, a toolkit that includes 13 state-of-the-art classification and segmentation AIs, and software tools
built for radiologists. Performance Speedup - Achieve 4X-10X speedup compared to manual editing
depending on the organ being segmented.
48. Medicine in the digital age
https://www.nature.com/nm/articles?type=perspective
59. Alibaba Hangzhou ET City Brain 2.0
https://www.alibabacloud.com/et/city
https://www.alizila.com/alibaba-cloud-launched-city-brain-2-0-hangzhou/
https://technode.com/2018/09/19/alibaba-city-brain/
(Sep 19, 2018) First launched in September 2016, City Brain is mainly used to improve traffic flows,
make live traffic predictions, and detect traffic incidents using data from video footage, traffic bureaus,
and public transportation systems. After two years, Hangzhou, the first city to embrace the system,
dropped from the 5th to the 57th spot on the list for China’s most congested cities, according to
the company.
The latest version is expected to monitor and control the city’s traffic at a larger scale and with more
accuracy. Hangzhou City Brain 2.0 now covers a core area of 42 square kilometers in downtown
Hangzhou, while the traffic violations are reported with 95% accuracy. The system has over 110
autonomous alert capabilities and 1300 traffic signals that are controlled by AI, according to Jing Zhi,
deputy chief of the Zhejiang Provincial Public Security Department. Over 200 traffic policemen are
available through the platform to attend to traffic emergencies.
60.
61.
62. Google DeepMind: ML in data centers
Safety-first AI for autonomous data centre cooling and industrial control
https://deepmind.com/blog/safety-first-ai-autonomous-data-centre-cooling-and-industrial-control/
Whereas our original recommendation
system had operators vetting and
implementing actions, our new AI
control system directly implements the
actions.
Despite being in place for only a matter
of months, the system is already
delivering consistent energy savings
of around 30 percent on average,
with further expected improvements.
63. DeepMind: Optimizing wind power generation
https://deepmind.com/blog/machine-learning-can-boost-value-wind-energy/
64. Amazon Go
https://www.techradar.com/news/amazon-is-planning-to-open-bigger-automated-stores
(Dec, 2018) Amazon is testing larger version of its
automated Amazon Go brick-and-mortar stores.
Existing Amazon Go outlets are only the size of a
small convenience store. Larger stores with more
diverse products mean new challenges, including
managing far more products, and dealing with larger
spaces that are harder to monitor.
The sources claim that Amazon is planning to open as many as 3,000 physical stores by 2021, enabling
it to better compete with big supermarket chains like Walmart
65. Amazon Scout
https://blog.aboutamazon.com/transportation/meet-scout
(Jan 23, 2019) A fully-electric delivery system – Amazon
Scout – designed to safely get packages to customers using
autonomous delivery devices. These devices were created
by Amazon, are the size of a small cooler, and roll along
sidewalks at a walking pace. Starting today, these devices
will begin delivering packages to customers in a
neighborhood in Snohomish County, Washington.
66. FedEx SameDay Bot
https://about.van.fedex.com/newsroom/thefuturefedex/
(Feb 27, 2019) An autonomous delivery device designed to help retailers make
same-day and last-mile deliveries to their customers.
On average, more than 60 percent of merchants’ customers live within three miles
of a store location, demonstrating the opportunity for on-demand, hyper-local
delivery.
FedEx plans to test the bot this summer in select markets, including Memphis,
Tenn., pending final city approvals.
67. ● 31,000K orders delivered successfully
● 150 Kiwibots roaming around
● https://www.kiwicampus.com/
(Feb 7, 2019) “By breaking the 500 orders in a day mark, we will set a
world record and we will gain those resources that will allow us to keep
working for a stronger Berkeley, the place that gave us everything.”
https://medium.com/kiwicampus/kiwis-world-record-beec49f26a07
KiwiBot
70. Cloud: The democratization of AI
Deloitte also predicts that in 2019 companies will further accelerate usage of cloud-based artificial
intelligence (AI) software and services. Among companies using AI, 70 percent will obtain AI
capabilities through cloud-based enterprise software, 65 percent will create AI applications
using cloud-based development services, and by 2020, the penetration rate of enterprise
software with AI built in, and cloud-based AI development services will reach an estimated 87 and 83
percent respectively.
“So far, AI’s initial benefits have been predominantly accrued by ‘tech giants’ with extensive financial
resources, strong IT infrastructure, and highly-specialized human capital,” says Paul Sallomi, Deloitte
Global Technology, Media & Telecommunications industry leader. “However, the cloud will power
increased efficiencies and better returns on investment, and we expect these benefits to rapidly
extend beyond AI’s pioneers to the wider enterprise.”
Deloitte Global TMT Predictions 2019
https://www2.deloitte.com/global/en/pages/about-deloitte/press-releases/deloitte-global-tmt-predictions-2019.html
74. AI at the edge
● NVidia Jetson TK1/TX1/TX2/Xavier/Nano
○ 192/256/256/512/128 CUDA Cores
○ 4/4/6/8/4-Core ARM CPU, 2/4/8/16/4 Gb Mem
● Tablets, Smartphones
○ Qualcomm Snapdragon 845/855, Apple A11/12/Bionic, Huawei Kirin 970/980
● Raspberry Pi 3 (1.2 GHz 4-core)
● Movidius Neural Compute Stick, Stick 2
● Google Edge TPU
75. (Aug 31, 2018) World's first 7nm process mobile AI chipset
Kirin 980 can quickly adapt to AI scenes such as face recognition,
object recognition, object detection, image segmentation and
intelligent translation with the power of a dual-core NPU achieving
4500 images per minute which is an improved 120% recognition speed. So
whether it's dancing to a fast song or quickly running in front of the camera, the
Kirin 980 can focus on the joints and lines of the human body in real time. The
powerful object detection capabilities can also accurately identify a variety of
objects. In comparison to the Kirin 970, the Kirin 980 is an impressive leap from
image recognition to object detection. The Kirin 980 sets the foundation for future
AI capabilities by providing complete framework support and rich tool keys for
App developers.
https://consumer.huawei.com/en/campaign/kirin980/
Mobile AI: Huawei Kirin 980 (NPU)
76. (Sep 12, 2018) Apple A12 Bionic
The A12 includes dedicated neural network hardware that
Apple calls a "Next-generation Neural Engine."
This neural network hardware has eight cores and can perform
up to 5 trillion 8-bit operations per second.
Unlike the A11's Neural Engine, third party apps can access the A12's Neural
Engine.
https://en.wikipedia.org/wiki/Apple_A12
Mobile AI: Apple A12 Neural Engine
77. (Nov 14, 2018) Samsung Brings On-device AI Processing for
Premium Mobile Devices with Exynos 9 Series 9820 Processor
The Exynos 9820 is an intelligent powerhouse with a separate
hardware AI-accelerator, or NPU, which performs AI tasks around seven times
faster than the predecessor. With the NPU, AI-related processing can be
carried out directly on the device rather than sending the task to a server,
providing faster performance as well as better security of personal
information. The NPU will enable a variety of new experiences such as instantly
adjusting camera settings for a shot based on the surroundings or recognizing
objects to provide information in augmented or virtual reality (AR or VR) settings.
https://news.samsung.com/global/samsung-brings-on-device-ai-processing-for-premium-mobile-devices-with-exynos-9-seri
es-9820-processor
https://www.samsung.com/semiconductor/minisite/exynos/products/mobileprocessor/exynos-9-series-9820/
Mobile AI: Samsung (NPU)
78. (Dec 5, 2018) Qualcomm Announces New Flagship
Snapdragon 855 Mobile Platform - A New Decade of 5G, AI,
and XR
The Hexagon 690 Digital Signal Processor (DSP) is a more powerful processor for
AI work and the fourth-generation AI engine is capable of 7 trillion operations per
second and offering three times improvement in performance over the previous
generation and, claims Qualcomm, twice the AI performance of “7nm smartphone
competitors” – it’s particularly referring to Huawei’s Kirin 980 there.
https://www.qualcomm.com/news/releases/2018/12/05/qualcomm-announces-new-flagship-snapdragon-855-mobile-platfor
m-new-decade
https://www.pocket-lint.com/phones/news/qualcomm/146477-qualcomm-snapdragon-855
https://www.qualcomm.com/products/snapdragon-855-mobile-platform
Mobile AI: Qualcomm Snapdragon 855
79. (Nov 14, 2018) Neural Compute Stick 2
The new, improved Intel Neural Compute Stick 2 (NCS 2)
features Intel’s latest high-performance vision processing
unit: the Intel Movidius Myriad X VPU. With more compute cores and a dedicated
hardware accelerator for deep neural network inference, the Intel NCS 2 delivers
up to eight times the performance boost compared to the previous generation Intel
Movidius Neural Compute Stick (NCS).
https://software.intel.com/en-us/neural-compute-stick
AI at the Edge: Intel/Movidius
80. AI at the Edge: Google Edge TPU
● (July 2018) Edge TPU is Google’s purpose-built ASIC designed to run AI
at the edge. It delivers high performance in a small physical and power
footprint, enabling the deployment of high-accuracy AI at the edge.
https://cloud.google.com/edge-tpu/
81. AI at the Edge: Jetson Nano
● (Mar 18, 2019) AI computer that delivers 472 GFLOPS of compute
performance for running modern AI workloads.
● Highly power-efficient, consuming as little as 5 watts.
● $99 devkit for developers, makers and enthusiasts;
$129 production-ready module for companies looking to create
mass-market edge systems.
https://nvidianews.nvidia.com/news/nvidia-announces-jetson-nano-99-tiny-yet-mighty-nvidia-cuda-x-ai-computer-that-runs-all-ai-models