Joan Birman popularized the Burau representation problem decades ago. Now she and two colleagues have a proof that reveals ...

For more than 60 years, Professor Gilbert Strang has turned a linear algebra classroom at the Massachusetts Institute of Technology (MIT) into a launching pad for millions of people pursuing ...

The LEEMONS project is researching nanostructured silicon that uses low-energy electron multiplication (LEEM) to allow one high-energy photon to generate multiple electrons, reducing energy losses in ...

Abstract: In this paper, a high-order multiplication perturbation-based transition matrix method (TM-HOMP) is proposed to address the strongly terminal-constrained optimal control problem (OCP) in ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

2025 in review: Key developments across services, health, and education in NE Syria In 2025, the Democratic Autonomous Administration of the Autonomous Administration of North and East Syria made ...

A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...

Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur ...

We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...