Google released a report on Thursday warning of an increase in “distillation attacks” targeting its Gemini AI model to steal its foundational technology. The company revealed ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical knowledge gap: understanding how humans and AI systems collaborate most ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...