Machine learning is a core branch of artificial intelligence that enables computers to learn patterns from data and make predictions or decisions without being explicitly programmed. It relies on algorithms that improve automatically through experience, using large datasets to recognize trends, classify information, and generate insights. Common approaches include supervised, unsupervised, and reinforcement learning, each suited for different types of problems. Machine learning powers many everyday technologies, from recommendation systems and fraud detection to voice assistants and autonomous vehicles. As data availability and computational power continue to grow, machine learning remains the driving force behind most modern AI applications.
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.