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 ...
12don 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 ...
AI CEO Mustafa Suleyman says the next milestone toward artificial general intelligence won't be about sounding human, but ...
India Today on MSNOpinion
The new frontiers of AI - by Ashwini Vaishnaw
With the Fifth Industrial Revolution upon us, India is building the full AI stack. It will make AI work at scale but rooted ...
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...
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.
Industrial productivity specifically benefits from the goal-oriented optimization of Reinforcement Learning (RL), a field ...
Nvidia claims that Alpamayo, which uses vision language action AI models, will allow self-driving cars to react to and reason ...
Over 400 young researchers from 57 countries are attending the Global Young Scientists Summit for the first time. Read more ...
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