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 ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
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 ...
Many health symptoms can be caused by multiple illnesses – if AI can’t tell the difference between them, it won’t be able to operate accurately without human oversight.
AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.
Vietnam’s Artificial Intelligence (AI) Law introduces one of the world’s first comprehensive AI regulatory frameworks, ...
New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...
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