The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Southern California Edison partners with ThinkLabs AI and Microsoft to automate grid energization. Learn how this ...

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 ...

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

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.

Manifold will use its tissue-targeting shuttle technology to help Roche develop new therapeutics for diseases of the central nervous system. Roche is offering $55 million up front to work with ...

Semiconductor manufacturing places unique demands on the valve manifold that controls a tool’s process gasses. However, not all manifolds offer the right mix of features for the job. This white paper ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...