Machine learning

A review led Prof. Marzyeh Ghassemi has found that a major issue in health-related machine learning models “is the relative scarcity of publicly available data sets in medicine,” reports Emily Sohn for Nature.

Research scientist Ryan Hamerly and his team are working to harness “the low power consumption of hybrid optical devices for smart speakers, lightweight drones and even self-driving cars,” reports The Economist. 

Gizmodo reporter Isaac Schultz writes that researchers from MIT, Caltech and elsewhere have found that “quantum systems can imitate wormholes, theorized shortcuts in spacetime, in that the systems allow the instantaneous transit of information between remote locations.” Grad student Alexander Zlokapa explains that: “We performed a kind of quantum teleportation equivalent to a traversable wormhole in the gravity picture. To do this, we had to simplify the quantum system to the smallest example that preserves gravitational characteristics so we could implement it.”

Research affiliate Ramin Hasani speaks with Kimberly Adams of Marketplace about how he and his CSAIL colleagues solved a differential equation dating back to the early 1900s, enabling researchers to create an AI algorithm that can learn on the spot and adapt to evolving patterns. The new algorithm “will enable larger-scale brain simulations,” Hasani explains.

Physicists from MIT and elsewhere have created a small “wormhole” effect between two quantum systems on the same processor and were able to send a signal through it, reports Charlotte Hu for Popular Science. This new model is a “way to study the fundamental problems of the universe in a laboratory setting,” writes Hu. 

Researchers at MIT and elsewhere have created a holographic wormhole using Google’s Sycamore quantum computer, reports Sarah Wells for Vice. “The researchers created an entangled state (a quantum mechanical phenomena where distant particles can still communicate with each other) between two halves of a quantum computer and sent a message in between,” writes Wells. “This message was scrambled as it entered the system and, through entanglement, unscrambled on the other side.”

A team of researchers, including scientists from MIT, “simulated a pair of black holes in a quantum computer and sent a message between them through a shortcut in space-time called a wormhole,” reports Dennis Overbye for The New York Times. The development is another “step in the effort to understand the relation between gravity, which shapes the universe, and quantum mechanics, which governs the subatomic realm of particles,” writes Overbye.

Fortune reporter Gabby Shacknai spotlights Joy Buolamwini PhD ’22 and her research in racial bias in AI. “After finishing grad school, Biolamwini decided to continue her research on A.I.’s racial bias and quickly realized that much of this was a result of the non-diverse datasets and imagery used by a disproportionately white, male tech workforce to train A.I. and inform its algorithms,” writes Shacknai.

Graduate student Kevin Frans co-founded OpenAI, a for-profit research lab that aims to provide free public access to artificial intelligence systems, reports Hiawatha Bray for The Boston Globe. “Our mission is to put AI is the hands of everyone,” says Frans.

MIT researchers have developed a new technique aimed at protecting images from AI generators, reports Kyle Barr for Gizmodo. The program uses "data poisoning techniques to essentially disturb pixels within an image to create invisible noise, effectively making AI art generators incapable of generating realistic deepfakes based on the photos they’re fed,” reports Kyle Barr for Gizmodo." 

Researchers from MIT and other institutions have found that an AI system called KataGo can be consistently tricked into losing at the strategy game of Go, reports Jeremy Kahn for Fortune. This research highlights potential similar vulnerabilities in “other AI systems trained in a similar manner,” writes Kahn.

Scientists at MIT have developed “a machine learning model that can capture how sounds in a room will propagate through space,” report Kyle Wiggers and Devin Coldewey for TechCrunch. “By modeling the acoustics, the system can learn a room’s geometry from sound recordings, which can then be used to build a visual rendering of a room,” write Wiggers and Coldewey.

MIT researchers have developed a new machine learning model that can identify and track blobs of plasma created in controlled nuclear-fusion research, reports Ed Browne for Newsweek. “Fusion research is a complex, multidisciplinary project that requires technologies from many fields,” explains graduate student Woonghee “Harry” Han.

Prof. Daniela Rus, director of CSAIL, speaks with Forbes reporter John Koetsier about the future of robotics. “I have been on a quest to have universal machines,” says Rus. “My idea is to create universal robot cells that could combine to form different types of machines, each with the same capability.”

Researchers at MIT are working on a system that can track the development of Parkinson’s disease by monitoring a person’s gait speed, reports Kyle Wiggers and Devin Coldewey for TechCrunch. “The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally,” writes Wiggers and Coldewey.