Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

WOMEN experience unique changes in grey matter volume, white matter tracts, and functional neural network organisation after ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

The paper introduces a Special Issue showcasing how AI-enabled solutions are transforming industrial systems, smart ...

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

AI accounting startup Basis secures $100M at $1.15B valuation as firms adopt agent-based workflows - SiliconANGLE ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.