Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise take years. “Ideally, the goal is to train a machine-learning model on a few existing chemical samples and then allow it to produce as many manufacturable…
Posted by Ye Jia and Michelle Tadmor Ramanovich, Software Engineers, Google Research Automatic translation of speech from one language to speech in another language, called speech-to-speech translation (S2ST), is important for breaking down the communication barriers between people speaking different languages. Conventionally, automatic S2ST systems are built with a cascade of automatic speech recognition (ASR),…
MIT President L. Rafael Reif recently joined Raúl Rodríguez, associate vice president of internationalization at Tecnológico de Monterrey, for a wide-ranging fireside chat about the power of education and its impact in addressing global issues, even more so in a post pandemic world. “When I was younger, my parents used to always tell me and my…
Imagine a pizza maker working with a ball of dough. She might use a spatula to lift the dough onto a cutting board then use a rolling pin to flatten it into a circle. Easy, right? Not if this pizza maker is a robot. For a robot, working with a deformable object like dough is…
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Chatbots could one day replace search engines. Here’s why that’s a terrible idea. Large AI models can simulate natural language with remarkable realism. Trained on hundreds of books and much of the internet,…
Growing up in Spain’s Catalonia region, Alberto Rodriguez loved taking things apart and putting them back together. But it wasn’t until he joined a robotics lab his last year in college that he realized robotics, and not mathematics or physics, would be his life’s calling. “I fell in love with the idea that you could…
The MIT AI Hardware Program is a new academia and industry collaboration aimed at defining and developing translational technologies in hardware and software for the AI and quantum age. A collaboration between the MIT School of Engineering and MIT Schwarzman College of Computing, involving the Microsystems Technologies Laboratories and programs and units in the college,…
At last year’s Google I/O, its annual showcase of new widgets and work-in-progress tech, CEO Sundar Pichai revealed his company’s “latest breakthrough in natural-language understanding”: a chatbot called LaMDA, designed to converse on any topic. He then gave a demo in which LaMDA answered questions about Pluto in natural language. The exchange showed off a…
Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine learning tools has automated video content analysis at a massive scale — but with increasing mass surveillance, there are currently no legally enforceable rules to limit…
Posted by Boris Babenko, Software Engineer and Naama Hammel, Clinical Research Scientist, Google Health Three years ago we wrote about our work on predicting a number of cardiovascular risk factors from fundus photos (i.e., photos of the back of the eye)1 using deep learning. That such risk factors could be extracted from fundus photos was…