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The hidden costs of AI: Impending energy and resource strain（图）
Artificial Intelligence Electrical and Computer Engineering Climate Change Sustainability
2023/6/29
New technologies like the rapidly advancing deep learning models have led to increasingly sophisticated artificial intelligence (AI) models. With promises ranging from autonomous vehicles—land, air, a...
New hardware offers faster computation for artificial intelligence, with much less energy（图）
新硬件 人工智能 计算速度 模拟深度学习
2023/6/6
As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing. A new area of artificial inte...
Born into a family of architects, Nina Andrejevi? loved creating drawings of her home and other buildings while a child in Serbia. She and her twin sister shared this passion, along with an appetite f...
Using adversarial attacks to refine molecular energy predictions（图）
对抗性攻击 分子能量预测 量化神经网络 分子能量 不确定性
2023/6/7
Neural networks (NNs) are increasingly being used to predict new materials, the rate and yield of chemical reactions, and drug-target interactions, among others. For these applications, they are order...
A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.
Stanford researchers create a high-performance,low-energy artificial synapse for neural network computing
Stanford researchers high-performance low-energy artificial synapse neural network computing
2017/3/14
For all the improvements in computer technology over the years, we still struggle to recreate the low-energy, elegant processing of the human brain. Now, researchers at Stanford University and Sandia ...
Dynamic network energy management via proximal message passing
Network equipment network target device circuit power
2015/8/7
We consider a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines. The problem...
