Tech Xplore on MSN
Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
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 ...
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 ...
Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...
The Zimbabwe Independent on MSNOpinion
Climate change, global energy supply: Is AI a friend or foe?
This transformative role of AI supports the achievement of United Nations sustainable development goals (SDG) 7 (affordable ...
Climate models can be a million lines of code long and can take months to run on supercomputers. A new algorithm has dramatically shortened that time. When you purchase through links on our site, we ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
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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