An algorithm is a set of defined steps or rules a computer follows to solve a problem or complete a task. In artificial intelligence, algorithms form the backbone of machine learning, helping systems process data, identify patterns, and make predictions or decisions without explicit programming.
Google launches a pilot program adding AI-powered article overviews to Google News, partnering with global publishers and experimenting with audio briefings and contextual links.
Microsoft will invest $17.5 billion over four years to expand AI and cloud infrastructure in India, supporting national AI platforms and workforce training initiatives.
The U.S. Commerce Department will let Nvidia export H200 AI chips to approved Chinese customers, with a 25% revenue share going to the U.S., despite Congressional concerns over national security.
Google introduced the Titans architecture and the MIRAS framework to enable AI models to handle massive contexts and update their internal memory while running, improving performance in long-sequence tasks.
ChatGPT now reaches more than 800 million weekly users, creating a powerful adoption flywheel that is speeding the transition from AI experimentation to full-scale enterprise deployment, according to OpenAI’s new 2025 report.
Meta has signed agreements with major news publishers to provide real-time global and entertainment news through Meta AI, its AI chatbot, enhancing user access to timely information.
Cristiano Ronaldo has taken an equity stake in Perplexity and will serve as a global partner, marking one of the most high-profile collaborations between elite sports and AI search technology.
OpenAI buys Neptune for under $400 million in stock, gaining advanced AI model tracking tools and strengthening capabilities in large-scale AI development.
The European Commission investigates Meta over AI restrictions in WhatsApp, raising concerns about competition and access for third-party AI providers.
OpenAI introduces an experimental “confessions” system that rewards honest self-reporting of mistakes in GPT-5 Thinking models, aiming to improve AI safety and visibility of failures.