Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

The 53rd annual conference presents peer-reviewed breakthroughs in simulation, vectorization, and physics modeling across ...

How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a ...

Last week, I introduced Emmy Noether, an extraordinary figure in the fields of mathematics and physics. To understand Noether ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

Sylvarum deploys non-thermal plasma on seeds to tackle fungal pathogens, improve germination, and boost crop yields.

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...

Second only to black holes, neutron stars—incredibly dense star remnants—are the densest objects in the universe. When ...

Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...

A study conducted at the Institut de Physique du Globe de Paris uses images from NASA's Dawn mission and a Bayesian inversion of the Hapke photometric model to analyze avalanches and ejecta deposits ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.