Data mining and machine learning software

Probabilistic Action Cores

PRAC (Probabilistic Action Cores) is an interpreter for natural-language instructions for robotic applications developed at the Institute for Artificial Intelligence at the University of Bremen, Germany, and is supported in parts by the European Commission and the German Research Foundation (DFG). (Wikipedia).

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From playlist everything

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How To Permanently Stop Procrastinating

How To Stop Procrastination What do you want to do that you keep procrastinating? https://goo.gl/X1QoIA Maybe you’re even putting it off right now by watching this video. Keep it in mind, because by the end of this video - my goal is to get you doing that thing. Because if you’re like m

From playlist Fan Q&A

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Biology Quiz: What are 3 traits of prokaryotic cells? #shorts

Ready to make the grade in biology? Subscribe to our new Biology channel to get more quizzes and biology animations! https://bit.ly/3jHu5UP #biology #DNA #shorts

From playlist 1 Minute Biology Quizzes

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This sleek bionic hand improves over time

This smart bionic hand learns and gets better the more you use it. 🤓 🎥 @Esper Bionics #engineering

From playlist Radical Innovations

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The Procrastination Killer: 5 Easy Steps To Get Things Done

Procrastination is super hard to get over. In this video I give you a step by step plan that you can follow that can help you defeat procrastination. Do you have any other advice? If so, please leave a comment below. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://a

From playlist Inspiration and Advice

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Josh Tenenbaum - Cognitive and computational foundations for collective human intelligence

Recorded 15 February 2022. Josh Tenenbaum of the Massachusetts Institute of Technology presents "Cognitive and computational foundations for collective human intelligence" at IPAM's Mathematics of Collective Intelligence Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/wor

From playlist Workshop: Mathematics of Collective Intelligence - Feb. 15 - 19, 2022.

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Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3

MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Josh Tenenbaum Exploring how humans learn new concepts and make intelligent inferences from little experience. Using probabilistic generative models

From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015

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Why you procrastinate even when it feels bad

Explore what happens in the brain to trigger procrastination, and what strategies you can use to break the cycle of this harmful practice. -- The report you’ve been putting off is due tomorrow. It’s time to buckle down, open your computer ... and check your phone. Maybe watch your favori

From playlist How to build character

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9C The Determinant

More on properties of determinant.

From playlist Linear Algebra

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What Kind of Computation Is Cognition?

Recent successes in artificial intelligence have been largely driven by neural networks and other sophisticated machine learning tools for pattern recognition and function approximation. But human intelligence is much more than finding patterns or approximating functions. And no machine sy

From playlist Whitney Humanities Center

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MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)

This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world. INFO: Course website: https://

From playlist AI talks

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Steps towards more human-like learning in machines - Josh Tenenbaum

More videos on http://video.ias.edu

From playlist Mathematics

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Priors and Probabilistic Influences on Perception

From the November 1st, 2017 Human AI Collaboration: A Dynamic Frontier Conference; Poppy Crum, Poppy Crum Chief Scientist, Dolby Laboratories and Stanford Adjunct Professor, CCRMA examines... 1. Our perceived experience of sensory information in the world is malleable, contextually and ex

From playlist Human AI Collaboration: A Dynamic Frontier Conference

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9F The Determinant

Equivalent statements about the determinant.

From playlist Linear Algebra

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Lec 24 | MIT 22.091 Nuclear Reactor Safety, Spring 2008

Lecture 24: Current Regulatory Safety Issues Instructor: Andrew Kadak View the complete course: http://ocw.mit.edu/22-091S08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 22.091 Nuclear Reactor Safety, Spring 2008

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Bionics are the future of prosthetics

Prosthetics called bionics are being engineered to look, move, and feel more like real limbs. But how are they made and how do they work? We explore these questions and more. Find out more information at https://bit.ly/3nudINL To get the latest science and technology news, subscribe to o

From playlist Radical Innovations

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Probabilistic logic programming and its applications - Luc De Raedt, Leuven

Probabilistic programs combine the power of programming languages with that of probabilistic graphical models. There has been a lot of progress in this paradigm over the past twenty years. This talk will introduce probabilistic logic programming languages, which are based on Sato's distrib

From playlist Logic and learning workshop

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Finite Index Rigidity of Hyperbolic Groups by Nir Lazarovich

PROGRAM: PROBABILISTIC METHODS IN NEGATIVE CURVATURE ORGANIZERS: Riddhipratim Basu (ICTS - TIFR, India), Anish Ghosh (TIFR, Mumbai, India), Subhajit Goswami (TIFR, Mumbai, India) and Mahan M J (TIFR, Mumbai, India) DATE & TIME: 27 February 2023 to 10 March 2023 VENUE: Madhava Lecture Hall

From playlist PROBABILISTIC METHODS IN NEGATIVE CURVATURE - 2023

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9G The Determinant

Equaivalent statements about the determinant. Evaluating elementary matrices.

From playlist Linear Algebra

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Rasa Livecoding: Setting Up Conversational AI Testing

This week we'll be working on testing for our assistant. What's livecoding? It's folks working on real projects in real time with help from you, the audience! Expect some bugs, breakthroughs and lots of fun. Want to build your own bot? https://rasa.com/docs/

From playlist Live Coding

Related pages

Never-Ending Language Learning | Statistical relational learning | Case-based reasoning | Markov logic network