143 stories
At the European Health Summit in Brussels, Greg Corrado, Distinguished Scientist at Google, released a new report authored by Implement Consulting Group and commissioned…
Is artificial intelligence better than bacon? One crunches data, the other crunches joy. This playful, slightly unscientific showdown pits algorithms against cured pork and bacon still wins.
As AI rapidly reshapes white-collar work, early data already shows rising unemployment in the most exposed industries, raising the provocative question of whether certain knowledge-worker roles are ultimately destined for 100 percent automation as AI accelerates toward AGI.
An overview of DeepSomatic, a new AI tool that helps identify complex genetic variants in cancer cells.
We’re launching a new 27 billion parameter foundation model for single-cell analysis built on the Gemma family of open models.
Recently, I attended the Responsible AI for Social and Ethical Healthcare 2025 “2.0” Symposium organized by, among others, Harvard Medical School. The symposium featured various panels on topics surrounding generative AI, in particular multimodal LLMs, in healthcare.
Google announces its first cohort of 25 startups using AI to improve public services.
Learn more about Google’s partnership with NBA player Stephen Curry.
We are already living in an AI-first world where search, work, creativity, communication, health, and education are being quietly but radically transformed.
To achieve digital immortality, begin compiling a rich dataset of your personal writings, voice recordings, and videos to enable AI to recreate your personality and presence for future interactions.
With the goal of deploying generative AI systems, rater studies are becoming increasingly common and important. This means more and more researchers and engineers face the challenge of actually planning and conducting rater studies for AI systems.
Dealing with rater disagreement is becoming more important in AI, especially for LLMs and in specialized domains such as health. In the past year, I helped open source two datasets allowing to study rater disagreement in the health domain: a relabeling of MedQA, a key benchmark for evaluating…
Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival.
Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones.
Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the diagnostic technology.
There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately and…
Learn how Google’s Health AI team is building a mobile-optimized fetal ultrasound system using TensorFlow Lite for real-time, on-device inference.
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