DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Remember seeing your triglyceride levels in your lab report? Ah! Fats you may dismiss, thinking of the next gym work you need ...

Most people in the math education space agree that students need to be fluent with basic math facts. By the time kids are in ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...