For obvious reasons, it would be useful to predict when an earthquake is going to occur. It has long been suspected that large quakes in the Himalayas follow a fairly predictable cycle, but nature, as ...
Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
A key White House office has approved a proposed Department of Homeland Security (DHS) rule that could fundamentally change how H-1B visas are assigned, moving away from the long-standing random ...
Scientists at NIST and the University of Colorado Boulder have created CURBy, a cutting-edge quantum randomness beacon that draws on the intrinsic unpredictability of quantum entanglement to produce ...
Developing novel materials drives significant breakthroughs across various engineering fields. Recent advancements in computational resources and techniques have enabled comprehensive material ...
HARRISBURG, Pa. (AP) — Immigration and Customs Enforcement officers have in recent days deported the Cuban-born mother of a 1-year-old girl — separating them indefinitely — and three children ages 2, ...
At JPMorgan Chase headquarters, a quiet quantum coup: the bank just beat Big Tech to a breakthrough in certified randomness—marking a rare win for Wall Street in the race to make quantum computing ...
Abstract: This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...