The increasing energy demands of AI pose a significant challenge to sustainability and decarbonization goals. Researchers have discovered a new integer-addition algorithm that could reduce AI's energy ...
CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
New Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor multiplications and 80% for dot products in large language models. It maintains ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence has quickly become one of the most disruptive technologies in the ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...
Researchers from Slovakia’s Slovak University of Agriculture in Nitra have developed a novel framework for optimizing PV tilt angles. It combines transfer-function methods with neural networks ...
Artificial Intelligence (AI) has become an integral part of modern society, revolutionizing industries, enhancing daily life, and driving economic growth. From virtual assistants to advanced data ...
Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...
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