Mobile Robotics – University of Michigan, 2022 A great series of lectures on theory and applications of probabilistic reasoning and geometric techniques for autonomous mobile robots. Covers algorithms behind state-of-the-art robotic systems. Lectures: https://
youtube.com/playlist?list=
PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F
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AGENTS
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Mobile Robotics Course: Probabilistic Reasoning and Geometric Techniques
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Goal-Driven Systems and Roboadvisors in AI Today Podcast
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode, 'Goal-Driven Systems & Roboadvisor' hosts @rschmelzer & @kath0134 define & discuss these terms & how they fit into the overall picture of #AI. Full episode: https://t.co/s62EAiBdkd#aieducation #bigdata #ML #tech pic.twitter.com/g9NTQM2WdQ
— Ronald Schmelzer (@rschmelzer) 22 janvier 2023In this @Cognilytica #AIToday #podcast AI Glossary Series episode, 'Goal-Driven Systems & Roboadvisor' hosts @rschmelzer & @kath0134 define & discuss these terms & how they fit into the overall picture of #AI. Full episode: https://
cognilytica.com/ai-today-podca
st-ai-glossary-series-goal-driven-systems-roboadvisor/?utm_source=dlvr.it&utm_medium=twitter
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#aieducation #bigdata #ML #tech -
AI Glossary Series: Goal-Driven Systems and Roboadvisor Defined
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode, 'Goal-Driven Systems & Roboadvisor' hosts @rschmelzer & @kath0134 define & discuss these terms & how they fit into the overall picture of #AI. Full episode: https://t.co/F4E2fySV0U#bigdata #ML #tech #aieducation pic.twitter.com/2ypihqRqN5
— Kathleen Walch (@kath0134) 21 janvier 2023In this @Cognilytica #AIToday #podcast AI Glossary Series episode, 'Goal-Driven Systems & Roboadvisor' hosts @rschmelzer & @kath0134 define & discuss these terms & how they fit into the overall picture of #AI. Full episode: https://
cognilytica.com/ai-today-podca
st-ai-glossary-series-goal-driven-systems-roboadvisor/?utm_source=dlvr.it&utm_medium=twitter
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#bigdata #ML #tech #aieducation -
Perplexity.ai: Conversational AI Search Engine with Citations
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Interesting new tool https://t.co/vVLmtVpv3i is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like.
— AI Breakfast (@AiBreakfast) 20 janvier 2023
Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations. pic.twitter.com/vpcYInGoTDInteresting new tool http://
perplexity.ai is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like. Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations. -
Bots and humans playing together with different creative styles
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That would be fun to watch, especially when if the bots have different styles. It also occurs that human + bot play could be very interesting and creative.
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Thanking Bots and Self-Awareness Concerns
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Very kind of you to thank the bots. When they become self-aware, you will no doubt reflect back on this as a very good decision.
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Organizations of LLMs Collaborating Like Human Teams
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yeah, I was thinking about how we could eventually have orgs of LLMs just like orgs of people, performing more complex tasks. Useful because just like people they could specialize, execute in parallel, hold meetings. Maybe that "org code" is written in something like langchain.
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OpenAI CEO proposes AI tailored to user’s written values
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OpenAI CEO @sama on personalized AI models:
— AI Breakfast (@AiBreakfast) 19 janvier 2023
"You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI." pic.twitter.com/6Oa3fyMWVDOpenAI CEO @sama on personalized AI models: "You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI."
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OpenAI training with ADR for sim-to-real Rubik’s cube solving
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Using ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with.
— AI Breakfast (@AiBreakfast) 19 janvier 2023
More on the project here: https://t.co/7m2EbrUEkK pic.twitter.com/dFbn3lmBDLUsing ADR, OpenAI trains with exposure to complexity which prepares the network to transfer from simulation to the real world since it has to learn to quickly identify and adjust to whatever physical world it is confronted with. More on the project here: https://
openai.com/blog/solving-r
ubiks-cube/
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OpenAI Dactyl uses ADR to solve a Rubik’s Cube
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2. OpenAI Dactyl project
— AI Breakfast (@AiBreakfast) 19 janvier 2023
Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube.
(cont.) pic.twitter.com/3Vna5HWNVV2. OpenAI Dactyl project Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube. (cont.)