When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
Researchers studying a massive landslide in Alaska have detected strange seasonal seismic pulses caused by water freezing and ...
Vietnam’s Artificial Intelligence (AI) Law introduces one of the world’s first comprehensive AI regulatory frameworks, ...
AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Carlos Gershenson, Binghamton University, State University of New York (THE ...
New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...
Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...
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