A police officer is at the scene of a murder. No witnesses. No camera footage. No obvious suspects or motives. Just a bit of hair on the sleeve of the victim’s jacket. DNA from the cells of one strand is copied and compared against a database. No match comes back, and the case goes cold. …
Posted by Sungyong Seo, Software Engineer and Sercan O. Arik, Research Scientist, Google Research, Cloud AI Team Deep neural networks (DNNs) provide more accurate results as the size and coverage of their training data increases. While investing in high-quality and large-scale labeled datasets is one path to model improvement, another is leveraging prior knowledge, concisely…
Posted by Abhijit Guha Roy, Research Software Engineer and Jie Ren, Research Scientist, Google Research Deep machine learning (ML) systems have achieved considerable success in medical image analysis in recent years. One major contributing factor is access to abundant labeled datasets, which are used to train highly effective supervised deep learning models. However, in the…
OpenAI has built a new version of GPT-3, its game-changing language model, that it says does away with some of the most toxic issues that plagued its predecessor. The San Francisco-based lab says the updated model, called InstructGPT, is better at following the instructions of people using it—known as “alignment” in AI jargon—and thus produces less offensive…
The human brain is finely tuned not only to recognize particular sounds, but also to determine which direction they came from. By comparing differences in sounds that reach the right and left ear, the brain can estimate the location of a barking dog, wailing fire engine, or approaching car. MIT neuroscientists have now developed a…
Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even the researchers who design them often don’t understand how or why they work so well. But if a neural network is used outside the lab, perhaps to classify medical images that could help diagnose heart…
A machine-learning expert and a psychology researcher/clinician may seem an unlikely duo. But MIT’s Rosalind Picard and Massachusetts General Hospital’s Paola Pedrelli are united by the belief that artificial intelligence may be able to help make mental health care more accessible to patients. In her 15 years as a clinician and researcher in psychology, Pedrelli…
Posted by Matt McEwen, Student Researcher, Google Quantum AI and Lara Faoro, Research Fellow, LPTHE- Sorbonne Université and CNRS (Paris) Quantum processors are made of superconducting quantum bits (qubits) that — being quantum objects — are highly susceptible to even tiny amounts of environmental noise. This noise can cause errors in quantum computation that need…
In a letter to the MIT community today, Vice President for Open Learning Sanjay Sarma announced the appointment of Professor Cynthia Breazeal as dean for digital learning, effective Feb. 1. As dean, she will supervise numerous business units and research initiatives centered on developing and deploying digital technologies for learning. These include MIT xPRO, Bootcamps,…
Posted by Sergio Orts Escolano and Jana Ehman, Software Engineers, Google Research Image matting is the process of extracting a precise alpha matte that separates foreground and background objects in an image. This technique has been traditionally used in the filmmaking and photography industry for image and video editing purposes, e.g., background replacement, synthetic bokeh…