Databricks Launches Lakewatch Cybersecurity Platform Ahead of IPO Introduction As organizations increasingly rely on data lakes to store and process ...

The operating assumption must be that AI agents will eventually be granted deep access to our most sensitive systems.

CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to generate ...

Market Size: USD 5.04 billion -- 2032 Projected Market Size: USD 10.56 billion -- CAGR (2025--2032): 11.5%. 3D Machine Visio ...

New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...

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

As part of the research project FENI-X, USU is contributing its AI expertise in the field of IT and service management as an industry partner. The aim of the project is to strengthen the resilience of ...

Abstract: NASA's forthcoming Lunar Gateway space station, which will be uncrewed most of the time, will need to operate with an unprecedented level of autonomy. One key challenge is enabling the ...

Abstract: Artificial intelligence techniques have been extensively employed in anomaly detection tasks for massive systems and equipment across numerous industries, achieving notable success.

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...