eLife

Spyglass: a framework for reproducible and shareable neuroscience research

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

AI Cracks the Code for the Next Generation of Solar Power

Rising global energy demands are pushing the limits of solar technology. Scientists in Sweden have now taken a major step ...

Proven quantum advantage: Researchers cut the time for a learning task from 20 million years to 15 minutes

Amid high expectations for quantum technology, a new paper in Science reports a proven quantum advantage. In an experiment, ...
GitHub

LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...

The Strange Origins Of 10 Common Computing Terms

Computing revolutionized most aspects of 21st century life, including language, with new and repurposed terms becoming the lexicon of a generation.

New software tool aims to democratize access to space camera development

A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...
IEEE

Developments on the “Machine Learning as a Service for High Energy Physics” Framework and Related Cloud Native Solution

Abstract: Machine Learning (ML) techniques have been successfully used in many areas of High Energy Physics (HEP) and will play a significant role in the success of upcoming High-Luminosity Large ...
C&EN

A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis

Center for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center ...
Executive Gov

DLA Publishes White Paper for Machine Learning-Driven Logistics Planning

The Defense Logistics Agency has published “Transforming Defense Logistics Planning: Leveraging Machine Learning for Enhanced Warfighter Readiness,” a white paper that pushes for a significant shift ...
IEEE

Tracking Error Prediction and Compensation of Industrial Robot Considering Dynamical Factors via Physics-Informed Machine Learning

Abstract: Tracking error prediction and compensation is essential to ensure the accuracy of robotic motion trajectories in various tasks. Due to the structural ...
Automation

Sappi North America, Valmet Celebrate Successful Start-Up of Rebuilt Paper Machine 2

Aug. 21, 2025 – In May 2025, Sappi North America and Valmet celebrated the successful start-up of the rebuilt paper machine 2 (PM2) at the Somerset paper manufacturing facility in Skowhegan, Maine, ...
GitHub

MKDPINN: Meta Learning and Knowledge Discovery-Based Physics-Informed Neural Networks

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...