SLAC and Sandia National Laboratories will lead COMPASS, a new program with funding from the DOE’s Office of Technology Commercialization that aims to facilitate the launch of startups based on national lab technologies. The program, which is short for Commercialization Pathways for Accelerating Sci
At the National Energy Technology Laboratory (NETL), we are undertaking integrated research aligned with U.S. Department of Energy (DOE) priorities and industrial needs to increase the recovery of hydrocarbons from challenging subsurface formations and enable the development of secure, efficient, an
A faint ribbon of stars around a distant galaxy has become the first globular cluster stellar stream ever identified beyond the Milky Way. Because the stars trace the galaxy’s gravity, researchers used the stream to estimate how much invisible dark matter surrounds it and how that matter is distribu
Researchers have created a tiny chip that produces a stable “rainbow” of light capable of generating multiple high-frequency signals at once, potentially boosting the speed and capacity of future 6G networks. Its extreme precision could also make it valuable for quantum timing, navigation, radar, an
More screen time during infancy and around the start of school was linked to poorer academic performance and weaker working memory years later. The findings suggest that early childhood may contain particularly sensitive windows when screen habits can have longer-lasting effects.
Researchers have found a way to create a complete 3D image of a molecule’s wavefunction, one of quantum mechanics’ most fundamental yet elusive features. By combining advanced photoelectron measurements with newly designed algorithms, the University of Göttingen team reconstructed the molecular orbi
NASA’s Roman Space Telescope has been cleared for final launch preparations ahead of a targeted August 30 liftoff aboard SpaceX’s Falcon Heavy. The powerful new observatory will probe cosmic expansion, the history of the universe, and distant exoplanets.
The Artemis II crew will receive the Congressional Space Medal of Honor after becoming the first humans in more than 50 years to travel beyond the Moon. Their 10-day Orion mission also carried them farther into space than anyone in history.
arXiv:2608.20343v1 Announce Type: new Abstract: This study develops and evaluates a bankruptcy prediction framework that integrates consensus-based feature selection, hybrid resampling, stacking ensembles, and explainable artificial intelligence to improve minority-class detection in severely imbal
arXiv:2608.20406v1 Announce Type: new Abstract: Public health forecasts must respond to abrupt changes in surveillance data without over-extrapolating noise, reporting artifacts, or temporary trends. We evaluated autoregressive integrated moving average (ARIMA), random forest, and extreme gradient
arXiv:2608.20423v1 Announce Type: new Abstract: Personalised thermal comfort is essential for occupant wellbeing and for the development of more responsive building-control strategies, yet conventional Heating, Ventilation, and Air Conditioning (HVAC) systems rely on static setpoints and population
arXiv:2608.20427v1 Announce Type: new Abstract: Dense causal attention remains expensive at long context even when implemented with highly optimized exact kernels. We study BF1, a deterministic block-aligned dyadic sparse-attention route that combines a small exact local neighborhood, a global firs
arXiv:2608.20428v1 Announce Type: new Abstract: We study the stability of minimal representations of controlled stochastic processes (in particular, transducers) under perturbations. This question is motivated by recent experiments finding predictive-state structure in the latent representations of
arXiv:2608.20439v1 Announce Type: new Abstract: Neural PDE operators are increasingly trained on reusable solver archives, yet validation often relies on clean prediction error and parameter-agnostic plausibility checks. We introduce cross-parameter relinking, a data-poisoning primitive that makes
arXiv:2608.20440v1 Announce Type: new Abstract: Authentication of edible oils in processed foods is important for food quality, fraud prevention, and regulatory compliance. This study establishes an integrated Raman spectroscopy and machine-learning framework that links intrinsic spectral organizat
arXiv:2608.20441v1 Announce Type: new Abstract: Selecting the optimal neural-operator prediction during deployment is challenging when high-fidelity reference solutions are unavailable. We demonstrate that under a squared Hilbert-space loss, ranking a finite model library depends strictly on the lo
arXiv:2608.20442v1 Announce Type: new Abstract: Subliminal trait transfer allows a student model to acquire behavioral dispositions from teacher-generated data in which the trait is not semantically expressed. Recent work explains how such signals enter gradients, but not how they survive source re
arXiv:2608.20445v1 Announce Type: new Abstract: Kernel density estimation converts finite samples into probability densities, but its performance depends critically on bandwidth selection. Classical selectors prescribe the sample-to-bandwidth rule analytically or asymptotically, or solve a new opti
arXiv:2608.20447v1 Announce Type: new Abstract: Feature selection is a highly relevant task in a data-driven knowledge discovery project. Several techniques have been developed aiming at finding the features that influence most an outcome to predict, including mutual information and, in recent year
arXiv:2608.20480v1 Announce Type: new Abstract: Optimal learners are tailored to exploit the i.i.d.\ data assumption underlying the classic PAC model. What if an i.i.d.\ training sample were corrupted with correctly labeled examples drawn from an otherwise unrelated, even adversarial source? This m