South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
The oxygen reduction reaction (ORR) is a key process in fuel cells and metal-air batteries, technologies expected to play a central role in a low-carbon energy future. However, ORR proceeds slowly on ...
A new energy era has begun, linked to the new multipolar geopolitics. Understand the new era is greatly aided by seven abiding"certainties," plus one about technology.
Abstract: Shapley value is a widely used tool in explainable artificial intelligence (XAI), as it provides a principled way to attribute contributions of input features to model outputs. However, ...
Logical Intelligence, an artificial intelligence company developing energy-based (EBM) reasoning systems, today announced that Kona 1.0, its pioneering EBM for reasoning, will enter pilot programs ...
SAN FRANCISCO--(BUSINESS WIRE)--Logical Intelligence, an artificial intelligence company developing energy-based (EBM) reasoning systems, today announced that Kona 1.0, its pioneering EBM for ...
Logical Intelligence Introduces First Energy-Based Reasoning AI Model, Signals Early Steps Toward AGI, Adds Yann LeCun and Patrick Hillmann to Leadership Logical Intelligence, an artificial ...
Abstract: In this work, we examine the relationship between rate-distortion theory and energy-based models (EBMs). We demonstrate that EBMs can be used to approximate the rate-distortion approaching ...
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This video explores the potential of molten metal for energy storage, highlighting its advantages over traditional lithium-ion batteries. It discusses how this solution can offer lower costs, simpler ...
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