Frontiers

How humans and machines make meaning: Exploring neural and computational mechanisms of multimodal language

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Frontiers

Multiscale modeling of brain dynamics: development, validation, and applications in artificial systems or clinical populations

Over the years, it has become clearer and clearer how the brain is a multiscale system that needs to be studied at different levels of organization as brain ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
IEEE

Development and Comparative Analysis of Deep Learning Models for Multiclass Classification of Liver Conditions in Ultrasound Imaging

Abstract: Early and accurate classification of liver conditions is critical for effective treatment and improved patient outcomes. While biopsy is invasive and visual interpretation of ultrasound ...
Mashable

Microsoft launches new MAI family of AI models for reasoning, voice, coding, and images

Microsoft used its Build 2026 developer conference on Tuesday to announce a new family of in-house AI models, alongside a slew of other news. The announcements, delivered during CEO Satya Nadella's ...