Semgrep Launches Multimodal, Combining AI Reasoning With Rule-Based Analysis for Detection, Triage, and Remediation

Semgrep, a leading code security company, today announced Semgrep Multimodal, a system that combines AI reasoning with ...

Mistral's Small 4 consolidates reasoning, vision and coding into one model — at a fraction of the inference cost

Mistral's Small 4 combines reasoning, multimodal analysis and agentic coding in a single open-source model with configurable ...
ascopubs.org

Genome-Scale Multimodal Analysis of Cell-Free DNA Whole-Methylome Sequencing for Noninvasive Esophageal Cancer Detection

A Targeted Methylation–Based Multicancer Early Detection Blood Test Preferentially Detects High-Grade Prostate Cancer While Minimizing Overdiagnosis of Indolent Disease Enzymatic conversion–mediated ...
News Medical

Integrating multimodal datasets for advanced tertiary analysis

This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...
Morning Overview on MSN

LazySlide links pathology images with RNA data using foundation models

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...

Google unveils new multimodal Gemini Embedding 2 model

Google unveils Gemini Embedding 2, a multimodal AI model for RAG, semantic search and clustering across 100+ languages.