The Gemini Deep Think AI model’s result in the International Mathematical Olympiad represents a huge leap in math capabilities. Find out why.

Alphabet's Google and OpenAI said their artificial-intelligence models won gold medals at a global mathematics competition, signaling a breakthrough in math capabilities in the race to build systems that can rival human intelligence.

An artificial intelligence system built by Google DeepMind, the tech giant’s primary artificial intelligence lab, has achieved “gold medal” status in the annual International Mathematical Olympiad, a premier math competition for high school students.

Artificial intelligence models developed by Google’s DeepMind team and OpenAI have a new accolade they can add to their list of achievements: they have defeated some high schoolers in math. Both companies have claimed to achieve a gold medal at this year’s International Mathematical Olympiad (IMO),

Large language models (LLMs) from OpenAI and Alphabet's Google have achieved gold medal-level performance on International Mathematical Olympiad problems, marking a breakthrough in artificial intelligence capabilities while revealing different commercial strategies between the tech giants.

Google DeepMind's Gemini AI won a gold medal at the International Mathematical Olympiad by solving complex math problems using natural language, marking a breakthrough in AI reasoning and human-level performance.

An artificial intelligence model developed by Alphabet Inc.’s Google DeepMind unit has won a gold medal in the International Mathematical Olympiad.

The model was designed to simulate and solve complex math problems, using advanced "experimental reasoning” methods. Just a few hours later, Google issued a similar statement, saying that its advanced AI model had solved five of the six Olympiad problems,

Harmonic AI, an artificial intelligence startup co-founded by Robinhood Markets Inc. Chief Executive Vlad Tenev, has raised $100 million in funding to tackle a problem that has sometimes confounded AI models: math.

'Learning to see and learning to read': Artificial intelligence enters a new era. For artificial intelligence to realize its potential — to relieve humans from mundane tasks and eventually invent new solutions to our problems — computers will need to get better at seeing the world and understanding our language.

An Apple study found that artificial intelligence models get confused by irrelevant information in math problems. For example, researchers posed this basic math problem to several AI models ...