Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Morning Overview on MSN
Scientists grew mini brains and trained them to crack an engineering problem
Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
While NASA's Apollo 11 mission is still remembered today for putting a man on the Moon in 1969, the Soviet Union put humanity's first uncrewed spacecraft on lunar soil three years earlier. A ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...
TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...
Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
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