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Gaussian processes provide a new path toward quantum machine learning
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
ZAC Concept Learning Artificial Intelligence (AI) recognized as far superior algorithm to achieve Level-5 Self-Driving than Neural Nets
Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...
New lightning sensors could detect Tahoe wildfires in seconds. Here's how they work
The high-tech sensors combine lightning location with meteorological and environmental data and alert fire authorities to ...
EE World Online9h
What are the hardware strategies for building energy-efficient AI accelerators?
This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator ...
Live Science on MSN3d
AI is entering an 'unprecedented regime.' Should we stop it — and can we — before it destroys us?
The technological singularity — the point at which artificial general intelligence surpasses human intelligence — is coming.
ZAC helping USA achieve Artificial Intelligence (AI) supremacy, with its Cognitive Explainable-AI (CXAI) algorithm breakthroughs
Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...
pv magazine Australia3d
Solar module fault diagnosis uses convolutional neural network
Researchers in China have created a dataset of various PV faults and normalised it to accommodate different array sizes and ...
Dr. AI-hurts: the Russian neural network has surpassed the accuracy of Microsoft's AI diagnostics
The Russian AI health assistant based on the GigaChat model has surpassed a similar Microsoft development in diagnostic ...
EurekAlert!4d
New algorithms enable efficient machine learning with symmetric data
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...