Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Background Metabolic-associated steatotic liver disease (MASLD) is a prevalent chronic liver disease affecting approximately ...

Abstract: Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing ...

Over the last three decades, critical care and emergency medicine have made great progress in recognising and managing sepsis through early recognition and protocolised resuscitation. For initial ...

The T-society framework suggests that modern human societies reflect the mathematical principles that govern protein societies within cells ...

Abstract: Multivariate data contain an abundance of information and many techniques have been proposed to allow humans to navigate this information in an ordered fashion. For this work, we focus on ...

AI excels where structure already exists. Context graphs could help marketing capture decision logic and make AI systems more reliable. The post Why marketing needs a decision infrastructure for AI ...

From Trading to Staking: Ways to Make Money with Crypto Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative ...