As some of the world’s largest tech firms look to AI to write code, new research shows that relying too much on AI can impede ...

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 ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...

Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...

A new around of vulnerabilities in the popular AI automation platform could let attackers hijack servers and steal ...

Meanwhile, Contio kicks off its crusade against broken meetings with a world-leading decision platform, while Apex unveils an ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...