IEEE

Extended Graph-enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control Using Inaccurate Topology Information

Abstract: Anomalous measurements bring huge challenges for existing learning-based distribution system optimization methods. Although several graphical learning-based methods have been developed to ...
Scientific American

‘An AlphaFold 4’—scientists marvel at DeepMind drug spin-off’s exclusive new AI

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Spire.AI and CrossKnowledge Announce Partnership to Redefine Enterprise Learning and Skills-based Talent Transformation

Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...
InfoWorld

The 200ms latency: A developer’s guide to real-time personalization

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
Opinion
JacobinOpinion

Learning From the UAW’s National Organizing Push

If the labor movement hopes to survive, it must find ways to organize in the private sector at scale. The UAW’s national push to organize higher ed, and its recent union drives at Volkswagen and ...
IEEE

Dynamic Graph-Based Deep Reinforcement Learning to V2X Channel Congestion Collaborative Control

Abstract: As an important component of intelligent transportation systems, vehicle-to-everything (V2X) provides critical communication support for road safety through real-time interactive and ...
Frontiers

Graph Learning and Deep Unfolding for Electromagnetic Field Modelling and Antenna Systems

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
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 ...
Scientific Research Publishing

Hamilton, W., Ying, Z. and Leskovec, J. (2017) Inductive Representation Learning on Large Graphs. arXiv: 1706.02216.

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 ...
Sports Illustrated

Pitt Releases Depth Chart vs. NC State

PITTSBURGH — The Pitt Panthers have released their weekly depth chart for this week's home game against the NC State Wolfpack. There don't appear to be any changes to this week's depth chart. Which is ...
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 ...
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 ...