A new study shows that large language models make trade-offs to avoid pain, with possible implications for future AI welfare.
The biggest figures in artificial intelligence sparred over the dangers of the rapidly advancing technology at the World Economic Forum this week, as hype swirled around a $500bn AI infrastructure project touted by Donald Trump.
What Could Possibly Go Right With Our AI Future, the LinkedIn co-founder makes the case that AI can extend human
This new approach, based on natural selection, dramatically improves the reliability of large language models for practical tasks like trip planning. Here's how it works.
Isomorphic was spun out of Google’s AI research arm Google DeepMind in 2021, but remains a wholly owned subsidiary of its parent company, Alphabet. The start-up’s potential has attracted big pharmaceutical partners, which are keen to lower expenses and boost efficiency of the costly drug development process.
A demo car ad created with Veo 2 from Google DeepMind is so realistic that it's hard to spot the amazing locations, intriguing people and fast cars are all AI.
The CEO of Google Mind has suggested clinical trials of the first drugs designed with the help of AI could begin this year.
With "Mind Evolution" LLMs can use search and genetic algorithms to generate and combine different solutions and find the optimal one.
Google DeepMind spinoff Isomorphic Labs expects testing on its first AI-designed drugs to begin this year, as tech startups race to turn algorithmic magic into actual treatments. “We’ll hopefully have
Chinese artificial intelligence startup DeepSeek has shocked the global tech industry by unveiling its R1 model, a state-of-the-art AI system built on a modest $5.6 million budget. The move has ignited debates in Silicon Valley about whether resource-rich US companies can maintain their edge.
This story incorporates reporting fromPC Gamer, BGR, MIT Technology Review, Computerworld, TechRadar and newsbytesapp.com.
The director of the corporation’s scientific laboratory points to genomics, nuclear fusion and the development of new materials as future areas of exploration for his team