Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

What if a machine could think as deeply as a human mathematician, solving problems so intricate they stump even the brightest minds? Enter Gemini Deep Think, an advanced AI model that has not only ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

The prize for the best research article of the Workshop on Algorithms in Bioinformatics conference (WABI) was awarded to the research conducted in the Graph Algorithms team led by Associate Professor ...

To learn math, students must build a mental toolbox of facts and procedures needed for different problems. But students who can recall these foundational facts in isolation often struggle to use them ...

The main goal of this paper is twofold. Our first objective is to prove the Lipschitz continuity of the proximal-point mapping associated with an H-accretive operator and to compute an estimate of its ...

Richard Rusczyk, founder of Art of Problem Solving, has a vision for bringing “joyous, beautiful math” — and problem-solving — to classrooms everywhere. When Richard Rusczyk became interested in math ...

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, ...