Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Take-Two CEO Strauss Zelnick clarified that while the company extensively uses AI and machine learning for operational efficiency, it plays no role in the creative development of games like GTA 6. He ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

The GitHub Copilot SDK turns the Copilot CLI into a cross-platform agent host with Model Context Protocol support.

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Are AI browsers a productivity boost or just AI bloat? We dive into privacy implications, accuracy and everything else you ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Including the temperature, air quality, and UV index ...