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.

In the mid-19th century, Bernhard Riemann conceived of a new way to think about mathematical spaces, providing the foundation ...

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 ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

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 ...

Researchers use AI to visualize reaction pathways of colloidal quantum dots as subway maps, clarifying synthesis and speeding ...

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 ...