The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

The virtual study demonstrated that the SABC approach to backside power minimizes EPE and over-etch variations in the TSV ...

Artificial intelligence systems designed to physically imitate natural brains can simulate human brain activity before being trained, according to new research from Johns Hopkins University. “The work ...

Cancer has long been treated as a mass of rogue cells, but the real power lies in the intricate communication networks ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.