Neutrino experiments are entering an era of unprecedented detector scale, precision, and data complexity. From liquid argon time projection chambers and ...

Abstract: Blockchains increasingly enable decentralized and trustworthy service execution. Smart contracts, i.e., self-executing programs on the blockchain, are essential for automating services. Yet, ...

Abstract: The unpredictable nature of photovoltaic solar power generation, caused by changing weather conditions, creates challenges for grid operators as they work to balance supply and demand. As ...

As the foundation of our proposed method, we use multi-encoder autoencoders such that each encoder receives the same input, and the outputs of each encoder are concatenated along the channel dimension ...

The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...

Somewhere between the clocks changing and the annual rediscovery of my sweater drawer, November has arrived. Heating is the subject of negotiation at home, and it’s warm beverages over iced ones for ...

NEW YORK (AP) — A draft budget proposal circulating among federal officials would dramatically deepen cuts at the nation’s top health agency, eliminating some public health programs entirely and ...

LONDON & NEW YORK--(BUSINESS WIRE)--DeepGreenX Group Inc. (“DeepGreenX,” “DXG,” or the “Company”), an AI-enabled green energy and technology company, and Sente Ventures (“Sente”), today announced a ...

In the big data era, algorithms for efficient data compression have become increasingly crucial, both for transmission over the network and long-term archival. Most traditional compression techniques, ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...