Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
Too often, we see the deluge of content streaming through our tech platforms as a wave washing over us. But the reality is that this is a “wave” we are choosing to ride. It’s useful to think of our ...
Abstract: Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...
Introduction: Drug safety has increasingly become a serious public health problem that threatens health and damages social economy. The common detection methods have the problem of high false positive ...
Introduction: The rapid evolution of Artificial Intelligence (AI) necessitates robust ethical frameworks to ensure responsible project deployment. This study addresses the challenge of quantifying ...
The big picture: You can't go five minutes these days without hearing about AI this and AI that. But have you ever wondered how we got here? The credit largely goes to a groundbreaking neural network ...
Frank McCourt said his Project Liberty consortium, which has bid to buy TikTok, would be comfortable sharing ownership of the app so long as it's hosted on tech developed by his nonprofit. "I'm okay ...
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