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Research


Employees have been under immense pressure over the past year to help their organizations navigate the crisis, and they’re finding a new ally in robots to help them better manage their companies’ finances. To explore the impact of technology on the future of the finance profession, we partnered with finance expert Farnoosh Torabi to survey …

A new theorem from the field of quantum machine learning has poked a major hole in the accepted understanding about information scrambling. “Our theorem implies that we are not going to be able to use quantum machine learning to learn typical random or chaotic processes, such as black holes. In this sense, it places a …

Every day, we’re inundated with a constant stream of information — most of which we’ll forget. Sure, you can probably remember what you had for breakfast this morning, but what about last year? We often take for granted the ability to forget mundane, day-to-day details to make room for valuable moments that matter in our …

What it is: Flashlight is a new open source machine learning (ML) library, written entirely in C++, that was built by FAIR to power groundbreaking research by enabling teams to rapidly and easily modify deep and ML frameworks to better fit their needs. Deep and ML frameworks are good at what they do — but …

Like superheroes capable of seeing through obstacles, environmental regulators may soon wield the power of all-seeing eyes that can identify violators anywhere at any time, according to a new Stanford University-led study. The paper, published the week of April 19 in Proceedings of the National Academy of Sciences (PNAS), demonstrates how artificial intelligence combined with …

The perils of machine learning – using computers to identify and analyze data patterns, such as in facial recognition software – have made headlines lately. Yet the technology also holds promise to help enforce federal regulations, including those related to the environment, in a fair, transparent way, according to a new study by Stanford researchers. …

Automated data set generation provides a highly diverse sampling of atomic positions for training an accurate and general machine learning model. A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described in this week’s Nature Communications journal. This automated approach to “interatomic potential development” could transform the …

The numbers Facebook released today in our latest Community Standards Enforcement Report are evidence of the many ways technology is delivering the kind of progress our world demands. In the final three months of 2020, we did better than ever before to proactively detect hate speech and bullying and harassment content — 97 percent of …

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new deep learning approach to designing emulators for scientific processes that is more accurate and efficient than existing methods. In a paper published by Nature Communications, an LLNL team describes a “Learn-by-Calibrating” (LbC) method for creating powerful scientific emulators that could be used as proxies …

From recruitment to credit risk apps, or use in the healthcare and criminal justice system, AI unreliability has been giving researchers headaches for years. We’ve tackled the issue by flipping it upside down. Our team has developed an AI that verifies other AIs’ “fairness” by generating a set of counterfactual text samples and testing machine …