Study: The Future of VR, AR and Self-Driving Cars

Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.

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This document discusses generative AI and its potential transformations and use cases. It outlines how generative AI could enable more low-cost experimentation, blur division boundaries, and allow "talking to data" for innovation and operational excellence. The document also references responsible AI frameworks and a pattern catalogue for developing foundation model-based systems. Potential use cases discussed include automated reporting, digital twins, data integration, operation planning, communication, and innovation applications like surrogate models and cross-discipline synthesis.

Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.

This document discusses AI and ChatGPT. It begins with an introduction to David Cieslak and his company RKL eSolutions, which provides ERP sales and consulting. It then provides definitions for key AI concepts like artificial intelligence, generative AI, large language models, and ChatGPT. The document discusses OpenAI's ChatGPT tool and how it works. It covers prompts, commands, and potential uses and impacts of generative AI technologies. Finally, it discusses concerns regarding generative AI and the future of life institute's call for more oversight of advanced AI.

A brief introduction to the domain that is variously described as the ethics of machine learning, data science ethics, AI ethics and the ethics of big data. (Delivered as a guest lecture for COMPSCI 361 at the University of Auckland on May 29, 2019)

Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation * Discuss the state of maturity of AI across industries * Get an appreciation of business posture to AI projects We also review the utility of AI across several industries including: * Healthcare * Newsroom & Journalism * Travel * Finance * Supply Chain / eCommerce / Retail * Streaming & Gaming * Transportation * Logistics * Manufacturing * Agriculture * Defense & Cybersecurity Part of the What Matters in AI series as published on www.andremuscat.com

The document provides an overview of artificial intelligence (AI), including: - Definitions of AI and a brief history of the field from early computers through modern machine learning advances. - Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision. - A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.

This document provides a technical introduction to large language models (LLMs). It explains that LLMs are based on simple probabilities derived from their massive training corpora, containing trillions of examples. The document then discusses several key aspects of how LLMs work, including that they function as a form of "lossy text compression" by encoding patterns and relationships in their training data. It also outlines some of the key elements in the architecture and training of the most advanced LLMs, such as GPT-4, focusing on their huge scale, transformer architecture, and use of reinforcement learning from human feedback.

For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.

Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots. 📙 Agenda: The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences: - What is "Conversational AI" and why do we need Chatbots (Virtual Agents); - Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case; - Discussion, Q&A Speakers: 👨🏻‍💻 Corneliu Niculite, Presales Director - EMEA DRUID AI 👨🏼‍💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH This session streamed live on March 8, 2023, 16:00 PM CET. Check out our upcoming events at: community.uipath.com Contact us at: community@uipath.com

What you'll get from this deck 1. The M&A race for AI: by the numbers 2. Watch out! hype ahead: definitions & disclaimers 3. Machine Learning drivers: why is Machine Learning a ‘thing’ now (vs before) 4. Venture Capital: forming an industry, the AI/ML landscape 5. The One Hundred (+13) AI startups to watch in the Enterprise 6. The great Enterprise pivot: applying Machine Learning at scale 7. - where to go next -

Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential. In this presentation you’ll learn about: - Why on-device AI is key - Full-stack AI optimizations to make on-device AI possible and efficient - Advanced techniques like quantization, distillation, and speculative decoding - How generative AI models can be run on device and examples of some running now - Qualcomm Technologies’ role in scaling on-device generative AI

Generative AI and ChatGPT- Narrates about AI, Generative AI, ChatGPT and how include chatGPT in python programs

This document provides an overview of artificial intelligence. It defines AI as using computers to solve problems or make automated decisions for tasks typically requiring human intelligence. The two major AI techniques are logic and rules-based approaches, and machine learning based approaches. Machine learning algorithms find patterns in data to infer rules and improve over time. While AI is limited and cannot achieve human-level abstract reasoning, pattern-based machine learning is powerful for automation and many tasks through proxies without requiring true intelligence. Successful AI systems are often hybrids of the approaches or work with human intelligence.

TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments. The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA

Presentation "AI Product Manager" at the Digital Product School (on 10/22/2020) from Datentreiber. Content: • Overview over the AI product innovation cycle • AI Thinking: ideating and prioritizing the right use cases • AI Prototyping: testing critical hypotheses with experiments • AI Engineering: building scalable & user friendly AI applications • AI Management: maintaining AI solutions with DataOps • Outlook: how to become an AI product manager (links & more)

Virtual worlds like Second Life and OpenSimulator can be used for education by allowing immersive virtual learning environments. OpenSimulator is recommended for K-12 schools as it is free and allows building, programming, and virtual field trips. The presentation demonstrated how to download and install OpenSimulator on a local host for free and get started with basic navigation, building, and importing lesson plans. Attendees were encouraged to download Singularity and log into an OpenSimulator grid created for the presentation to experience it firsthand.

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David W. Deeds' presentation for the OpenSimulator Community Conference 2014 (OSCC14). Also a member of the OpenSimulator K-12 Power Panel.