DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...

DeepSeek has introduced a new architecture, Manifold-Constrained Hyper-Connections (mHC), designed to enhance the efficiency and reliability of training large AI models.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and controllably can mean the difference between a functioning electrical grid and a ...

What Are Non-Human Identities, and Why Are They Crucial for Security? Have you ever pondered the implications of leaving machine identities unsecured? With cybersecurity advances, the spotlight ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Are Autonomous Systems Truly Secure Without Effective Secrets Management? Where autonomous systems are reshaping industries, managing the secrets that underpin their operations becomes critical.

Bump up your salary in 2026 to as much as 56% with the help of these five AI courses taught by Stanford, MIT and others.

For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...

A recent study by the Laboratory for Neuro-Analysis and Imaging (LANAI) at UMass Chan Medical School highlights how ...

What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...