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 ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

In the iOS 26.4 update that's coming this spring, Apple will introduce a new version of Siri that's going to overhaul how we ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.

The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...

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 ...

Bloomberg reports that Apple has recently scaled back its plans for the health-related Project Mulberry initiative. Here are ...

Want to see what agentic coding really feels like? Come along on my wild, wonderful, and terrifying two-day vibe coding adventure with Xcode 26.3.