Recently, a research team from Chongqing Medical University, led by Prof. Wei Huang, Dr. Wei Bao, and Dr. Yiting Lei, has successfully developed a novel engineered extracellular matrix (eECM) to ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Four Wappingers elementary students are multiplying up to 384-digit numbers in school. These students, who are in the district's math enrichment program, are getting creative with math theory to solve ...

Transformer Weekly: Automated AI R&D, a regulatory moratorium, and deals with the Middle East ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, ...