Manufacturing systems face growing pressure from globalization, rapid market changes, increasing product customization, and ...

Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...

Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...

Using public information and making small tweaks, an alpha-seeking AI fund manager outperformed 93% of mutual fund managers ...

The unfolded protein response (UPR) is a crucial signaling network that preserves endoplasmic reticulum (ER) homeostasis, impacting both health and disease. When ER stress occurs, often due to an ...

AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating real-world entities before live deployment.

Privately sold climate risk data fills gaps in public resources but raises transparency, equity, and oversight concerns.

Digital twins are a virtual copy of a real-world system. They are a transformative tool that can assist scientists across ...

Bittensor is a decentralized machine learning network that enables permissionless AI model training and inference. By leveraging a system of interconnected subnets, Bittensor creates an open, scalable ...

Software République launches Vision 4Rescue: a groundbreaking ecosystem of 20 integrated solutions transforming emergency ...