Semiconductor Engineering

Algorithm–HW Co-Design Framework for Accelerating Attention in Large-Context Scenarios (Cornell)

Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...

New deep learning model enhances roadside air pollutant forecasting accuracy

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep ...

Not-so-model behavior: Popular software tools may give faulty forecasts

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...
International Association of Privacy ProfessionalsOpinion

Data repurposing, algorithmic bias and Indigenous privacy in the age of AI

M. Milad Khani discusses the serious risks AI can introduce, particularly for marginalized communities like Indigenous ...
Devdiscourse

AI and remote sensing fusion opens new frontier in global biodiversity conservation

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...
eLife

Integrated Respirometry and Metabolomics Unveil Circadian Metabolic Dynamics in Drosophila

This study investigates how sleep loss and circadian disruption affect whole-organ metabolism in flies (Drosophila melanogaster) and reports that wild-type flies align metabolism in anticipation of ...

Minghao Chi Strengthens Pension Fund Risk Management with Data-Driven Index Weight Prediction Research

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
AZoBuild on MSN

AI Model Restores Lost Bridge Data to Improve Structural Safety

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...
pv magazine International

PV power generation forecast technique for solar plants with missing data

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...
IEEE

A Novel Two-Stream Algorithm for Spatio-Temporal Fusion in Remote Sensing

Abstract: The spatio-temporal fusion technology can effectively solve the problem of missing time series data. However, existing algorithms often struggle to accurately capture surface feature changes ...
Frontiers

Predicting location emotions of users considering multidimensional spatio-temporal dependencies

1 Anhui Normal University, Wuhu, China 2 Nanjing Normal University Key Laboratory of Virtual Geographic Environment Ministry of Education, Nanjing, China Emotion has significant spatio-temporal ...
eLife

BuzzWatch: Uncovering Multi-scale Temporal Patterns in Mosquito Behavior Through Continuous Long-term Monitoring

This paper reports a useful low-cost platform for studying mosquito behaviors such as flight activity, sugar feeding, and host-seeking responses over the course of several weeks, and demonstrates key ...