Morning Overview on MSN

Gray-box AI speeds catalyst discovery while explaining what drives results

A new class of artificial intelligence models is cutting the time needed to identify promising catalytic materials from weeks ...
Tech Xplore

Study finds AI privacy leaks hinge on a few high-impact neural network weights

Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities ...
Frontiers

Deep Brain Stimulation: from Mechanisms to Therapeutic Advances in Movement Disorders and Epilepsy

Deep brain stimulation (DBS) has emerged as a standard of care in the treatment of Parkinson’s disease and other movement disorders, such as dystonia and ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
IEEE

A Comparative Analysis of Deep Neural Network Models for Deepfake Image Detection Generated using AI

Abstract: Deepfake consists of two words - “deep” and “fake,” where deep refers to the deep neural network and fake indicates the manipulation of data. The gradual increase in usage of AI-generated ...

Trident IoT and Syntiant to Deliver Low-Power Audio AI Sensor Platform, Enabling Smarter, Always-On Safety and Security Systems

Trident IoT, a leading provider of multi-protocol IoT development solutions and Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions from sensors to software, today ...
IEEE

Efficient and Privacy-Preserving Artificial Neural Network Model Training With Separated Data in IoT

Abstract: Machine learning models based on artificial neural networks (ANNs) have been widely adopted to support diverse complex applications. However, the training of such models heavily relies on ...
Mirage News

AI Model Revolutionizes Nuclear Charge Density Prediction

Deep-Learning Paradigm Achieves Global Precision in Nuclear Charge Density PredictionsThe charge density distribution of an ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...
Columbia News

An Interdisciplinary Project Investigates Art Images and AI

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but ...

Breaking the 100M Token Limit: EverMind's MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...