In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
Future applications of national importance, such as healthcare, critical infrastructure, transportation systems, and smart cities, are expected to increasingly rely on machine-learning methods, ...
Yaron Singer climbed the tenure track ladder to a full professorship at Harvard in seven years, fueled by his work on adversarial machine learning, a way to fool artificial intelligence models using ...
To say knowledge is power is an understatement. With mobile devices such as phones and tablets packing more power than full-sized computers just two decades ago, the ability to create and download ...
Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool We used aggregated electronic health ...
The coronavirus pandemic drastically changed K-12 education, as U.S. public and private schools complied with state-mandated closures a year ago. As of January, 72% of the nation’s 56.4 million ...
Deploying machine learning in the real world is a lot different than developing and testing it in a lab. Quenton Hall, AI systems architect at Xilinx, examines security implications on both the ...
BOSTON--(BUSINESS WIRE)--Today Skillsoft, a leader in digital learning, training, and talent solutions to help organizations unleash their edge, announces it is integrating tools and training with ...
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