Primepoint Closes $10M Seed Round to Advance Intelligence Platform that Reads and Understands Construction Drawings

Primepoint has closed a $10M seed round to advance its proprietary AI platform, co-founded by AI-veterans Lubomir Bourdev, PhD, and Hamid Palo, to understand construction drawings, reading linework, ...
Scripps Institution of Oceanography

New AI Approach Reveals Ocean Currents in Unprecedented Detail

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before.
Chromatography Online

MC-Retention: Accelerating Liquid Chromatography Screening with Neural Network

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
IEEE

Transformer and Graph Neural Network-Based Federated Learning for Cellular Traffic Prediction With Sustainability Analysis

Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...
Scientific Research Publishing

Rossi, E., et al. (2020) Temporal Graph Networks for Deep Learning on Dynamic Graphs. arXiv: 2006.10637.

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
ahajournals.org

Abstract TAC238: Predicting Peptide-Human Leukocyte Antigen and Isolevuglandin Immunogenicity in Hypertension Using Structure-based Deep Learning

Introduction: Isolevuglandin (IsoLG)-adducted peptides contribute to hypertension by enhancing class I human leukocyte antigen (HLA)-mediated T cell activation. The capacity of different HLA alleles ...
IEEE

Graph-Based Dual-Agent Deep Reinforcement Learning for Dynamic Human–Machine Hybrid Reconfiguration Manufacturing Scheduling

Abstract: Human–machine hybrid reconfiguration manufacturing is an emerging paradigm in the field of precision equipment production and can greatly improve the production capability of the workshop.
Columbia Daily Tribune

Missouri football depth chart projection: Final two-deep forecast before gameweek arrives

The countdown to gameday is showing single-digit days. The Tigers have voted on their team captains, position battles are slowly coming to a close and the new season is nigh. Missouri football will ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...