Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Search patents reveal how AI search systems interpret intent, evaluate content passages, and build brand understanding in ...

Takeda Pharmaceutical will apply Iambic Therapeutics’ artificial intelligence (AI)-based technologies and wet lab capabilities to design and develop small molecule drugs through a multi-year tech and ...

As firms rely more heavily on AI tools, understanding their architectural limits is becoming a professional necessity ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

In 2025 Artprice successfully integrated all the key tools of its proprietary AI (Intuitive Artmarket®) into its internal ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...