The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Tech Xplore on MSN
AI agents debate their way to improved mathematical reasoning
Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.
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 ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
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, ...
Kim's team stated, "Under the same conditions [as LG AI Research's experiment], Gemini and Grok series models scored approximately 92 points, while ChatGPT and Claude series models scored about 88 ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...
Why do parasites harm their hosts? That's a question evolutionary biologists ask as they try to predict how a parasite might ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results