Page 3 - Learning Representations News Today

MIT engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team’s method connects robot motion data with the common sense knowledge of large language models, or LLMs.

There are countless reasons why home robots have found little success post-Roomba. Pricing, practicality, form factor and mapping have all contributed to

In a paper that will be presented at the Twelfth International Conference on Learning Representations (ICLR), taking place in Vienna on May 7 - 11, 2024, an NYU

Fortune Brainstorm AI London will include executives from Google, Microsoft, Shell, Royal Phillips, Maersk, and others.

Google largely has itself to blame for the Gemini episode, which shaved 4% off Alphabet's share price. But it also shows serious limitations of today's AI.

People doubt AI's benefits will be worth the potential risks and they don't trust tech companies to put humanity's interests ahead of profit.

The annual battle between the clipper ships was about ego and prestige as much as money and the tech behind it didn't last. Is history repeating?

The goal is to put the AI chatbot a few steps ahead in terms of fulfilling a user’s request and doing it well.

Apples MGIE is capable of handling a wide range of editing scenarios, such as colour adjustments, object manipulations and more.

AI is leading to job losses—but not in the way most people fear, while in other cases CEOs are using AI as a convenient excuse