Justin Solomon, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), is employing modern techniques based on ancient geometric principles to solve a wide array of complex problems, specifically in the field of data science.
Drawing upon the geometric…
Researchers at MIT have discovered that computational models derived from machine learning are increasingly mimicking the function and structure of the human auditory system. This finding has significant implications for the design of more effective hearing aids, cochlear implants, and brain-machine interfaces. In the most extensive study to date of deep neural networks used for…
The need for speed and precision in today's digitally-fueled arena is ever-increasing, making it a challenge for search engines to meet these expectations. Traditional retrieval models present a trade-off between speed, accuracy, and computational cost. To address this, researchers from the University of Glasgow have offered a creative solution known as shallow Cross-Encoders. These small…
Large Language Models (LLMs) require safety tuning to ensure alignment with human values. However, even those tuned for safety are susceptible to jailbreaking—errant behavior that escapes designed safety measures. Even benign data, free of harmful content, can lead to safety degradation, an issue recently studied by researchers from Princeton University's Princeton Language and Intelligence (PLI).
The…
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that trains users on when to trust an AI model's advice. This automated system essentially creates an onboarding process based on a specific task performed by a human and an AI model. It then uses this data to develop training exercises, helping…
A committee of scholars and leaders from MIT has released a series of policy briefs, aiming to frame a strategy for governance of artificial intelligence (AI). The targeted audience for these briefs is primarily U.S. policymakers, with the aim of regulating AI to ensure its safe use, limit potential harms, and encourage exploration of societal…
Modern machine learning models are becoming increasingly adept at simulating the structure and function of the human auditory system, a development that could lead to improvements in devices like hearing aids, cochlear implants, and brain-machine interfaces.
A team at MIT conducted what is considered the largest study of deep neural networks trained for auditory tasks…
Researchers at the University of Berkeley have developed an AI prediction system that harnesses Generative Pretrained Transformer (GPT-4) to forecast future events as accurately as the collective prediction of a group of humans, also known as the 'wisdom of the crowd'. The AI system built upon the model uses a method called retrieval-augmented reasoning, which…