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A secretive, Google-backed lab is using artificial intelligence to invent new medicines for humanity's worst illnesses. But ...
Despite the strong performance of Microsoft’s medical AI MAI-DxO in testing, which included models from OpenAI, Google, ...
Today, nearly all state-of-the-art AI is based on deep learning, from autonomous driving and text translation to medical image processing and voice assistants.
Deep Dive into the transformative impact of AI on healthcare and pharma, featuring insights on key AI trends from the floor of Frontiers Health, the ongoing battle against drift, and the promise ...
Leading this effort is Dr Milind Tambe, Director of AI for Social Good at Google DeepMind. In collaboration with ARMMAN, a Mumbai-based non-profit focused on maternal and child health, Tambe’s team is ...
Envisionit Deep AI is now on the path to growth backed by a $1.65 million investment from New GX Ventures SA, a joint venture between New GX Capital, RMB Ventures and GIIG Africa. This was after ...
TVGH’s BrainProbe platform is the world’s first AI tool for detecting schizophrenia using MRI data and deep learning. From ...
Google unveiled major AI advancements at I/O 2025, including Gemini 2.5 with Deep Think, AI Mode in Search, Veo 3 for video with audio, and a $249 Ultra plan aimed at power users and enterprises.
Adaptive deep brain stimulation has virtually eliminated the most debilitating motor symptoms for some Parkinson’s patients and considerably improved their lives.
Scientists have discovered one of the first new classes of antibiotics identified in the past 60 years, and the first discovered leveraging an AI-powered platform built around explainable deep ...
The AI technology, AlphaFold and ESMFold (developed by Google Deep Mind and Meta), was used to discover and classify the entry proteins of all the viruses tested—something which would be ...
Roll over, Darwin: How Google DeepMind's 'mind evolution' could enhance AI thinking This new approach, based on natural selection, dramatically improves the reliability of large language models ...