What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
Many of the headlines about artificial intelligence warn of its dangers. However, artificial intelligence (AI) can be and is being used for good in many ways from improving the accessibility for people with disabilities to building our resilience to natural disasters. Here are 8 powerful examples of AI for good.
What is Weak (Narrow) AI? Here Are 8 Practical Examples Bernard Marr
Weak AI, otherwise referred to as narrow artificial intelligence, describes the algorithms that can complete a set of finite functions. Currently, this is the only artificial intelligence that exists. The algorithms classify data and then make decisions or act based on how they were told to interpret that date. Here are eight practical examples.
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. At present, more and more industries and applications combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major traditional industries and an important direction for the development of the Internet of Things in the future.
Artificial Intelligence (AI) technologies are evolving fast and growing increasingly critical for a sporting organisation’s ability to:
- win games;
- improve coaches and players;
- manage internal operations; and
- grow, serve and retain their fans.
The imperative exists for sporting teams not to just adopt a singular AI technology but rather to have access to an arsenal of AI technologies that will improve their ability to generate and act on critical insights; whether it’s fan engagement, talent identification, pre-game preparation or in-game real-time facilitation.
This paper explores some of the specific AI applications being experimented across sporting codes, learnings from other sports and the current AI market. I also pose some ethical questions the sporting industry need to consider before introducing AI technologies into their codes.
Safety Check is an IoT solution to prevent increasing number of road accidents due to Drink driving, rash driving & fatigue.
It is a pocket-friendly solution that every responsible driver and car manufacturer would like to own in their cars.
Edge AI refers to AI algorithms that are processed locally on hardware devices and can process data without a network connection. This means that operations such as data creation can be performed without streaming or data storage in the cloud. This is important because more and more device data cannot rely on cloud processing. For example, factory robots and self-driving cars need to process data at high speed with minimal delay.
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
Showcase how machines are built to perform intelligent tasks by using our content-ready Reinforcement Learning In AI PowerPoint Presentation Slide Templates Complete Deck. Take advantage of these artificial intelligence PowerPoint visuals, and describe how machine learning models are trained to make sequences of decisions in a complex environment. Showcase the types of artificial intelligence such as deep learning, machine learning. Explain the concept of machine learning which delivers predictive models based on the data fed into machine learning algorithms. Take the assistance of our visually attention-grabbing reinforcement learning PowerPoint templates and discuss the effective uses of artificial intelligence in various areas such as supply chain, human resources, fraud detection, knowledge creation, research, and development, etc. You can also present the usage of AI in healthcare. This includes treatment, diagnosis, training and research, early detection, etc. Explain the working of machine learning by downloading our attention-grabbing supervised learning PowerPoint presentation. https://bit.ly/3kQBnEZ
Technology - Yesterday, Today and Tomorrow
Showcase of whats coming and few product examples
Technology Predictions for next 25years
BMS College of Engineering, PhaseShift 2015
If you are not familiar with the term Internet of Things and want to know about this new technology then this presentation is for you. You will find all the aspects of IoT, like IoT introduction, IoT applications and its challenges as well as future of Internet of Things, in this presentation.
7 technologies that will change our futurePioneer Lists
Advanced technologies for sure will change our future, but the thing is how we adopt those in our day to day life. Take a look on those emerging technologies.
Many of the headlines about artificial intelligence warn of its dangers. However, artificial intelligence (AI) can be and is being used for good in many ways from improving the accessibility for people with disabilities to building our resilience to natural disasters. Here are 8 powerful examples of AI for good.
What is Weak (Narrow) AI? Here Are 8 Practical Examples Bernard Marr
Weak AI, otherwise referred to as narrow artificial intelligence, describes the algorithms that can complete a set of finite functions. Currently, this is the only artificial intelligence that exists. The algorithms classify data and then make decisions or act based on how they were told to interpret that date. Here are eight practical examples.
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. At present, more and more industries and applications combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major traditional industries and an important direction for the development of the Internet of Things in the future.
Artificial Intelligence (AI) technologies are evolving fast and growing increasingly critical for a sporting organisation’s ability to:
- win games;
- improve coaches and players;
- manage internal operations; and
- grow, serve and retain their fans.
The imperative exists for sporting teams not to just adopt a singular AI technology but rather to have access to an arsenal of AI technologies that will improve their ability to generate and act on critical insights; whether it’s fan engagement, talent identification, pre-game preparation or in-game real-time facilitation.
This paper explores some of the specific AI applications being experimented across sporting codes, learnings from other sports and the current AI market. I also pose some ethical questions the sporting industry need to consider before introducing AI technologies into their codes.
Safety Check is an IoT solution to prevent increasing number of road accidents due to Drink driving, rash driving & fatigue.
It is a pocket-friendly solution that every responsible driver and car manufacturer would like to own in their cars.
Edge AI refers to AI algorithms that are processed locally on hardware devices and can process data without a network connection. This means that operations such as data creation can be performed without streaming or data storage in the cloud. This is important because more and more device data cannot rely on cloud processing. For example, factory robots and self-driving cars need to process data at high speed with minimal delay.
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
Showcase how machines are built to perform intelligent tasks by using our content-ready Reinforcement Learning In AI PowerPoint Presentation Slide Templates Complete Deck. Take advantage of these artificial intelligence PowerPoint visuals, and describe how machine learning models are trained to make sequences of decisions in a complex environment. Showcase the types of artificial intelligence such as deep learning, machine learning. Explain the concept of machine learning which delivers predictive models based on the data fed into machine learning algorithms. Take the assistance of our visually attention-grabbing reinforcement learning PowerPoint templates and discuss the effective uses of artificial intelligence in various areas such as supply chain, human resources, fraud detection, knowledge creation, research, and development, etc. You can also present the usage of AI in healthcare. This includes treatment, diagnosis, training and research, early detection, etc. Explain the working of machine learning by downloading our attention-grabbing supervised learning PowerPoint presentation. https://bit.ly/3kQBnEZ
Technology - Yesterday, Today and Tomorrow
Showcase of whats coming and few product examples
Technology Predictions for next 25years
BMS College of Engineering, PhaseShift 2015
If you are not familiar with the term Internet of Things and want to know about this new technology then this presentation is for you. You will find all the aspects of IoT, like IoT introduction, IoT applications and its challenges as well as future of Internet of Things, in this presentation.
7 technologies that will change our futurePioneer Lists
Advanced technologies for sure will change our future, but the thing is how we adopt those in our day to day life. Take a look on those emerging technologies.
An infographic detailing the rich history and my envisioned future for the prosthetics industry. Check out evolutionaryprosthetics.wordpress.com for more!
This was an individual research project done for the Tech & Data module of Hyper Island's Digital Media Management course.
DDI 3D Medical Prosthetics Presentation to AAA Conference, April 2007Direct Dimensions, Inc.
This PowerPoint presents the technologies for 3D imaging human facial and other body parts for the digital design and fabrication of cosmetically accurate prosthetics.
This was presented by Direct Dimensions at the April 2007 conference for then named American Anaplastology Association.
Failure of the Prosthetic part of an Implant Treatment is viewed as a catastrophic failure altogether by the patients and some clinicians. We break them down to 3 PROBLEMS and how to prevent/avoid these failures.
PowerPoint Presentation on the topic "Artificial Intelligence" including the brief history,information about the founders and pioneers of the concept and the varied applications and future of Artificial Intelligence.
ARTIFICIAL INTELLIGENCE INTRODUCTION PART #2Kirti Verma
Artificial intelligence introduction
application.
HI, I am presenting a course on artificial intelligence must watch on my channel TEACHISEASY
this is the second video in the series.
hope you like the information given.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
Artificial Intelligence in Autonomous Vehiclesijtsrd
An autonomous vehicle is one that uses a combination of sensors, cameras, radar, and artificial intelligence AI to travel between destinations without a human operator. It is designed to be able to detect objects on the road, maneuver through the traffic without human intervention, and get to the destination safely. It is fitted with AI based functional systems such as voice and speech recognition, gesture controls, eye tracking, and other driving monitoring systems. Several companies have announced their plan to get involved in autonomous or driverless and electric vehicle technology. This paper presents uses of AI technology in autonomous vehicles. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Autonomous Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38514.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38514/artificial-intelligence-in-autonomous-vehicles/matthew-n-o-sadiku
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. WHAT IS AI?
It is the ability of a digital computer or computer
controlled robot to perform tasks commonly
associated with intelligent beings.
It is a branch of Science which deals with helping
machines finds solutions to complex problems in a
more human-like fashion.
It is generally involves borrowing characteristics
from human intelligence, and applying them as
algorithms in a computer friendly way.
3. WHO DOES AI?
Many disciplines contribute to goal of
creating/modelling intelligent entities:
Computer Science
Psychology (human reasoning)
Philosophy (nature of belief, rationality, etc)
Linguistics (structure and meaning of
language)
Human Biology (how brain works)
4. TWO MAIN GOAL OF AI
To understand human intelligence
better. We test theories of human
intelligence by writing programs which
emulate it.
To create useful “smart” programs able
to do tasks that would normally require
a human expert.
6. ROBOTS
A Robot is a electro-mechanical device that can by
programmed to perform manual tasks or a
reprogrammable multi functional manipulator designed
to move materials, parts, tools, or specialized devices
through variable programmed motions for performance
of variety of tasks.
An ‘intelligent’ robot includes some kind of
sensory apparatus that allows it to respond to change in
it’s environment
7. DRIVERLESS TRANSPORT
• Google has been investing in a driverless car, and has completed over
480,000 autonomous-driving miles accident-free.
• Through the use of cameras, sensors and special software built into
vehicles manufacturers have been able to build cars that park
themselves at the touch of a button.
• Driverless trains carry passengers from city to city in Japan without
the need for human help.
• Google’s driverless car relies on lasers and sensors to spot obstacles,
interpret signs and interact with traffic and pedestrians.
• Artificial intelligence takes away the responsibility from the drivers,
and also eliminates the danger of distracted driving and boasts a
reaction time much faster than that of any human.
8.
9. SURGICAL AID ROBOTS
• Cedars-Sinai Medical Center relies on special software to examine the
heart and stop heart attacks before they occur
• Artificial muscles feature smart technology that allows them to
function more like real muscles.
• Penelope, a Robotic Surgery Assistant developed at Columbia
University can not only pass the correct tools to doctors, but also keep
track of these tools and learn about a doctor's preferences through
artificial intelligence.
• The most advanced surgical robots are programmed to perform the
entire surgery on their own, except for the suturing or the cutting. In
these operations, a surgeon stands by just in case something goes
wrong.
• Miniature intelligent robots are being developed for eye surgeries.
10.
11. AUTOMATED ASSEMBLY LINES AND
DANGEROUS JOBS
• Some countries have put smart robots to work disabling land
mines and handling radioactive materials in order to limit
the risk to human workers.
• Ford is using an Artificial Intelligence based approach for
vehicle assembly process planning, ergonomics analysis, and
a system that uses machine translation to translate assembly-build
instructions for assembly plants that don't use English.
• Other Companies such as GM have developed robots with
Artificial Intelligence techniques to inspect cars made by
humans
12.
13. NEXT GENERATION TRAFFIC
CONTROL
• Artificial Intelligence in traffic lights seeks to improve the
efficiency of traffic flow, hence improving road space
utilization, reducing journey times and potentially,
improving fuel efficiency, as well as reducing the impact of
cars on the road.
• In the future, they want to create a traffic control system that
thinks like a human in directing traffic.
• “We can consider a future where all vehicles are equipped
with WiFi and GPS and can transmit their positions to
signalized junctions. This opens the way to the use of
artificial intelligence approaches to traffic control such as
machine learning."
20. PROBLEMS WITH A.I.
One basic problem lies in the question
of what intelligence is exactly.
How can we recreate a learning,
thinking mind with technology? Is it
even possible? Some do not think so.