Anomaly detection identifies observations that differ significantly from an expected pattern. A bank may use it to flag unusual transactions, a manufacturer to spot equipment faults, or a security platform to detect suspicious network activity. Some systems learn from labeled examples of normal and abnormal events, while others model normal behavior and treat large deviations as potential anomalies. Rare does not always mean harmful, so alerts require context and careful thresholds. Effective detection balances missed events against false alarms, adapts as behavior changes, and gives reviewers enough information to investigate why a record, sequence, or sensor reading was considered unusual.
Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’
Google has unveiled Gemini Enterprise, a next-generation AI platform designed for business productivity and collaboration, positioning itself directly against Microsoft’s Copilot and OpenAI’s enterprise solutions in the race for workplace AI dominance.
Google Cloud and Figma have launched an expanded partnership to embed Google’s generative AI models – including Gemini 2.5 Flash and Imagen 4 – directly into Figma’s design tools, reducing latency and accelerating creative workflows.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.