Google DeepMind's CEO, Demis Hassabis, asserts that current large language models (LLMs) lack crucial abilities like long-term planning and reasoning skills.
“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...
Ademola Esther is the chief executive officer (CEO) of iSell Global. She is a data analyst, artificial intelligence ...
As artificial intelligence continues to reshape software development and computing roles, Prayoga Institute of Education ...
Microsoft AI CEO Mustafa Suleyman says the modern test of artificial intelligence is not whether it can sound human but whether an AI agent can legally turn $100,000 into $1 million, as Big Tech ...
11don MSNOpinion
Chemistry is stuck in the dark ages: 'Chemputation' can bring it into the digital world
Chemistry deals with that most fundamental subject: matter. New drugs, materials and batteries all depend on our ability to ...
Industrial productivity specifically benefits from the goal-oriented optimization of Reinforcement Learning (RL), a field ...
Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn how the world works, not just generate content.
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...
The source of many disagreements is that people rely, often implicitly, on two radically different notions of “intelligence." ...
Over 400 young researchers from 57 countries are attending the Global Young Scientists Summit for the first time. Read more ...
Nvidia claims that Alpamayo, which uses vision language action AI models, will allow self-driving cars to react to and reason ...
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