Frontiers

AI-Driven Forensic Science: Decoding Complex Chemical and Biological Mixtures with Advanced Models

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
Tech Times

Hermes MoA 2.0 Combines GPT, Claude and DeepSeek to Outscore Any One Model

Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...
IEEE

A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts

Abstract: Brain lesion segmentation is crucial for neurological disease research and diagnosis. As different types of lesions exhibit distinct characteristics on different imaging modalities, ...
GitHub

MoH: Multi-Head Attention as Mixture-of-Head Attention

We propose Mixture-of-Head attention (MoH), a new architecture that treats attention heads as experts in the Mixture-of-Experts (MoE) mechanism. MoH has two significant advantages: First, MoH enables ...
GitHub

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

We revised TESTAM routing and fixed some issues -- e.g., some of the previous pseudo label-generation process are problematic with deprecated codes We partially updated TESTAM to be usable for the ...
IEEE

GMDR-Net: A Lightweight OBB-Based SAR Ship Detection Model Based on Gaussian Mixture Data Augmentation and Distance Rotation IOU Loss

Abstract: Aiming at the problems of oriented-bounding-box-based (OBB-based) synthetic aperture radar (SAR) ship detection, which include the large model volume, the imbalance of positive and negative ...