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Medindia on MSN

Caltech Researchers Build First DNA Neural Network That Can Learn

In a study published in Nature (September 3), Lulu Qian , professor of bioengineering, and her student Kevin Cherry (PhD '24) ...
MIT Technology Review

The Download: churches in the age of AI, and how to run an LLM at home

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. How churches use data and AI as engines of surveillance On a ...
IEEE

Observer-Based Event-Triggered Fault-Tolerant Synchronization for Memristive Neural Networks Subject to Multiple Failures

Abstract: In this article, the synchronization problem of memristive neural networks (MNNs) subjected to multiple failures is investigated. First, a general form of fault model is introduced into the ...
Ars Technica

MacMini or Studio as a local server with multiple simultaneous users connecting to their accounts over the network?

Supporting some family members with old Intel iMacs that won't get updates anymore and replacing them would be prohibitively expensive for retirees. OTOH, getting a single, used – but beefy enough – ...
TechCrunch

Google rolls out Gemini Deep Think AI, a reasoning model that tests multiple ideas in parallel

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...
Law

Texas Company Files Multiple Patent Claims Against AT&T, Verizon and T-Mobile

The nine suits filed in July allege infringement of 15 different technology patents. Headwater is represented by a team from Russ August & Kabat in Los Angeles. In April, a Texas jury awarded ...
Frontiers

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

Introduction: In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing ...
Microsoft

Modeling health risks using neural network ensembles

This study aims to demonstrate that demographics combined with biometrics can be used to predict obesity related chronic disease risk and produce a health risk score that outperforms body mass index ...
SciELO

Urban flood forecasting with multi-output neural networks: a physically-based and data-driven approach

Physically based models for spatial flood prediction are time and computationally expensive. Data-driven models, while faster, require large amounts of data for adjustment. This study presents an ...
IEEE

Neural Network Learning Predictive Cooperative Control for Uncertain Heterogeneous Marine Vehicles With Unfavorable Communication Factors

Abstract: This paper addresses the issue of cooperative control for heterogeneous marine vehicle systems (HMVSs) subjected to uncertain dynamics, multiple unfavorable communication factors, and ...
Frontiers

Explainable graph neural network based on metabolic brain imaging for differential diagnosis of parkinsonism

Background: Accurate differentiation of parkinsonian syndromes remains challenging due to overlapping clinical manifestations and subtle neuroimaging variations. This study introduces an explainable ...