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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Tech Xplore on MSN
'Periodic table' for AI methods aims to drive innovation
Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...
Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
Skills—a capability that allows users to teach Claude repeatable workflows—was introduced in October, and now Anthropic is ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...
This month's LCGC Blog from Jonnie Shackman from the America Chemical Society (ACS) reflects on how early experiences with computer programming shaped the author’s understanding of fundamental logic, ...
Runway debuts a physics-aware world model that simulates reality to train agents and power video, robotics, and avatar ...
Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...
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