The latest in artificial intelligence, LLMs, and autonomous systems. Comprehensive coverage of AI trends, research breakthroughs, and real-world applications.
The European Commission issued its first AI Act infringement notices in May 2026. A practical compliance plan for small teams: what you owe, what you can ignore, and what costs €38K versus €4K to get right.
Six months and 17 production deployments later, here's when a Claude Skill wins, when an MCP server wins, and the hybrid pattern most teams miss.
Scaling laws stopped buying us reasoning. The next phase of AI is neuro-symbolic, world-model-driven, and considerably stranger than another transformer.
Autonomous coding agents stopped being a demo in 2026. Here is what actually shipped, what broke first, and how senior engineering changed shape.
After deploying 14 production agents on Claude Opus 4.7 and GPT-5.1, here is the unfiltered playbook on tool design, evals, cost control, and the failure modes nobody warned us about.
Google's Gemini is a revolutionary AI-powered photo service that uses your memories to create personalized images. But how does it work, and what are the benefits?
Planet Labs is pushing the boundaries of satellite imaging with its AI-powered object detection capabilities.
Machine learning's rapid progress is yielding some unexpected and unsettling consequences. But what does this mean for the future of AI?
Researchers created a fictional illness and used AI to convince people it was real, revealing the dangers of misinformation in the digital age.
Google has open-sourced Scion, an experimental agent orchestration testbed. This move is expected to accelerate innovation in the field of artificial intelligence.
A groundbreaking AI innovation has achieved a 100-fold reduction in energy consumption while boosting accuracy, redefining the future of machine learning.
The use of AI in courts is spreading rapidly, but concerns about accountability and fairness are growing. Learn more about the impact of AI on the legal system and the need for robust oversight and regulation.
AI agents are no longer experimental. They're writing code, managing calendars, and making decisions. The question is no longer whether they'll change work — it's how fast.
Six months ago, open-source models lagged far behind GPT-4. Today, the gap is narrowing faster than anyone predicted. Here's what happens next.