Every online bank transfer, private message and Bitcoin transaction rests on the assumption that some math problems are ...

Nearly all practicing physicians in the U.S. obtained their post-graduate training positions through "the match." Prior to the 1950s, internship and residency matching were done by ad hoc individual ...

Abstract: The Gale-Shapley algorithm solves the problem of stable pair formation across various fields including economics, labor markets, biology, computer science, and physics. This study modifies ...

Researchers from MIT CSAIL and Purdue University have proposed a new automated framework for privatizing black-box machine learning algorithms using PAC Privacy, a ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

Keeping sensitive data safe in artificial intelligence (AI) systems is a big challenge. While there are ways to protect personal information—like home addresses or medical records—these privacy tools ...

CAMBRIDGE, MA – Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — ...

NEW YORK – As the wave of artificial intelligence-based diagnostic tests swells and investors make big bets on the tools, attention is being placed on how best to regulate such devices and strike the ...

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...