The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

High-frequency magnetic characteristics are essential for improving the efficiency, miniaturization, and operating frequency ...

The Qt6 framework is widely used, particularly for its powerful tools for creating user interfaces for embedded devices with C++. However, its applications extend beyond embedded systems. This article ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

The uncertainty of whether a withdrawal has gone through or not will leave many players feeling tense. Numerous factors can ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

With nuclear capacity is set to triple by 2050, sustainable uranium production will be key to meeting rising demand.

Researchers examine technologies and strategies for closed-loop water systems to support long-duration Moon and Mars missions, focusing on efficiency, durability, and resource recovery.

Employees at a Chinese restaurant still were wearing gloves while washing their hands during a recent health inspection.

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform.