VentureBeat

Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 AI that can see and understand what's happening in a video — especially a live feed — is understandably an attractive product to lots of ...
eLife

Cross-modal interaction of human alpha activity does not reflect inhibition of early sensory processing in a frequency-tagging study using EEG and MEG

Selective attention involves prioritising relevant sensory input while suppressing irrelevant stimuli. It has been proposed that oscillatory alpha-band activity (~10 Hz) aids this process by ...
Scientific Research Publishing

A Multi-Modal Approach for Arabic Sign Language Gesture Recognition Using Deep Learning ()

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...
Frontiers

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations

Non-invasive analysis of dairy cattle vocalizations offers a practical route to continuous assessment of stress and timely health interventions in precision livestock systems. We present a multi-modal ...
GitHub

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration

Recent advancements in medical Large Language Models (LLMs) have showcased their powerful reasoning and diagnostic capabilities. Despite their success, current unified multimodal medical LLMs face ...
The Lancet

Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model

hDepartment of Medical Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, 1066 CX, the Netherlands iDepartment of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan ...
Europe PMC

scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration.

Single-cell multi-omics data reveal complex cellular states, providing significant insights into cellular dynamics and disease. Yet, integration of multi-omics data presents challenges. Some ...
Frontiers

Emotion recognition with multi-modal peripheral physiological signals

Healthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning ...