Reporter's Notebook: Lawmakers wrestle over whether AI can make the grade in America's classrooms

The Senate is wrestling with how AI should be used in classrooms as lawmakers raise concerns about student learning, privacy, ...

Mathematicians unleash multifold speed boost for supercomputer simulations of molecules

More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
IEEE

An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning

Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...

Richard Tapia, Mathematician Who Pushed to Diversify His Field, Dies at 88

A math whiz as a young man, he later blazed trails, both with his theoretical advances and his advocacy for minority students.

Tensordyne Revives Logarithmic Math In A Bid To Cut AI Power Use

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
IEEE

HSAMM: A Hybrid-Strassen Algorithm-Based Asynchronous Architecture for Sparse Matrix Multiplication

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.