Information sharing is vital to the work of modern government. It can catalyse better collaboration across agencies, unlock ...

An open source software supply-chain vulnerability is an exploitable weakness in trusted software caused by a third-party, ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

You generated a text with AI, but it sounds robotic, and on top of that, AI detectors show a high percentage of machine-written content?

Objectives Bisphenol A (BPA), a xenoestrogen that can alter DNA methylation status, has been implicated in the pathogenesis ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

The quantum many body problem has been at the heart of much of theoretical and experimental physics over the past few decades ...

Within the production cell, a Multilift V 30 removes the finished molded parts from the mold and places them on a conveyor ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Immunotherapy has transformed the treatment of cancer, yet many patients do not have response or lasting benefit. Strategies ...

Forward Engineering GmbH walks through a modular testing and simulation approach designed to enable more accurate material ...

Addcomposites Oy, a Finnish composite manufacturing automation company, launched a comprehensive suite of free, browser-based ...