Semanlink - Robotique AND Artificial Intelligence

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Robotique AND Artificial Intelligence

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25 Documents

Aran Komatsuzaki sur Twitter : "Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning"

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2023-04-27 About

[2104.09224] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

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2022-09-16 About

Gary Marcus 🇺🇦 sur Twitter : "Hybrid neurosymbolic system beats end-to-end deep learning in autonomous driving study from Caltech." / Twitter

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2022-04-06 About

Lesson 3 - Self Driving Cars

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2019-08-05 About

Unsolved research problems vs. real-world threat models

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2019-03-27 About

Alexandria Ocasio-Cortez says ‘we should be excited about automation’ - The Verge

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2019-03-24 About

The Hidden Automation Agenda of the Davos Elite - The New York Times

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2019-01-27 About

Time-Contrastive Networks: Self-Supervised Learning from Video (2017)

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Self-supervised approach for learning representations and robotic behaviors entirely from unlabeled videos recorded from multiple viewpoints, and study how this representation can be used in two robotic imitation settings: imitating object interactions from videos of humans, and imitating human poses.

> We train our representations using a metric learning loss, where multiple simultaneous viewpoints of the same observation are attracted in the embedding space, while being repelled from temporal neighbors which are often visually similar but functionally different. In other words, the model simultaneously learns to recognize what is common between different-looking images, and what is different between similar-looking images.
> This signal causes our model to discover attributes that do not change across viewpoint, but do change across time, while ignoring nuisance variables such as occlusions, motion blur, lighting and background. We demonstrate that this representation can be used by a robot to directly mimic human poses without an explicit correspondence, and that it can be used as a reward function within a reinforcement learning algorithm.

2018-10-27 About

Grounded Language Learning: Where Robotics and NLP Meet (IJCAI 2018)

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2018-10-26 About

Six scénarios d'un monde sans travail | CNRS Le journal

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2018-07-27 About

Gartner fails spectacularly with its 180 degree flip on the impact of AI Automation on jobs - Horses for Sources

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2018-04-09 About

Bill Gates thinks AI taking everyone's jobs could be a good thing (MSFT)

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2018-02-11 About

MIT 6.S094: Deep Learning for Self-Driving Cars

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2018-01-09 About

While U.S. Workers Fear Automation, Swedish Employees Welcome It - MIT Technology Review

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2018-01-04 About

The agricultural labor conundrum | Robohub

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2017-08-09 About

Technological Unemployment: The Real Reason This Elephant Chart is Terrifying

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2017-01-23 About

AI will create 'useless class' of human, predicts bestselling historian | Technology | The Guardian

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2016-06-26 About

Bernard Stiegler : « Je propose la mise en place d’un revenu contributif, qui favorise l’engagement dans des projets »

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2016-03-11 About

Bank of America's report on creative disruption, AI and robotisation

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2015-11-08 About

Google Introduces New Self Driving Car at the Code Conference | Re/code

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2014-05-28 About

Finding perfection in the imperfect: Applying Darwinian neuro-evolution to robotics | Robohub

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2014-03-26 About

Google’s Self-Driving Cars Are Going to Change Everything (Vancouver Data Blog by Neil McGuigan)

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Google car

2013-09-05 About

Google investit dans le service de taxis Uber

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Google car

2013-08-26 About

Google’s Driver-less Car and Morality : The New Yorker

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2012-11-30 About

Cognition, Robotics, and Learning (CORAL) Lab Home

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2006-05-04 About