For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types. A new approach developed by researchers at MIT and Dana-Farber Cancer Institute may make it…
Posted by Greg Corrado, Head of Health AI, Google Research, and Yossi Matias, VP, Engineering and Research, Google Research Medicine is an inherently multimodal discipline. When providing care, clinicians routinely interpret data from a wide range of modalities including medical images, clinical notes, lab tests, electronic health records, genomics, and more. Over the last decade…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Earlier this year, when I realized how ridiculously easy generative AI has made it to manipulate people’s images, I maxed out the privacy settings on my social media accounts and swapped…
The pharmaceutical industry operates under one of the highest failure rates of any business sector. The success rate for drug candidates entering capital Phase 1 trials—the earliest type of clinical testing, which can take 6 to 7 years—is anywhere between 9% and 12%, depending on the year, with costs to bring a drug from discovery…
Posted by Eleni Triantafillou, Research Scientist, and Malik Boudiaf, Student Researcher, Google Deep learning has recently made tremendous progress in a wide range of problems and applications, but models often fail unpredictably when deployed in unseen domains or distributions. Source-free domain adaptation (SFDA) is an area of research that aims to design methods for adapting…
Remember that selfie you posted last week? There’s currently nothing stopping someone taking it and editing it using powerful generative AI systems. Even worse, thanks to the sophistication of these systems, it might be impossible to prove that the resulting image is fake. The good news is that a new tool, created by researchers at…
Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly. This technique could help an autonomous vehicle learn to compensate for slippery road conditions to avoid…
Many people think of generative AI as a tool that allows them to use their own words to ask questions or generate copy and images—both of which it does remarkably well. However, it also has incredible potential to transform our personal and professional work—helping us access, consume, and utilize the untapped information that floods our…
If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. That was fast. In less than a week since Meta launched its AI model, LLaMA 2, startups and researchers have already used it to develop a chatbot and an AI assistant. It will be only a matter…