Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
The Punch on MSN

How betting platforms use machine learning for fraud detection

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

BigBear.ai Broadens Product Line To Tap Larger Addressable Market

BigBear.ai is aggressively diversifying its AI portfolio, targeting border security and customs markets through strategic ...
IEEE

Automated Deep Learning System for Early Detection of Stroke Using CNN Architecture

Abstract: Strokes are a major cause of disability worldwide, with ischemic and hemorrhagic strokes accounting for the majority of cases. In India, stroke remains the second most common cause of ...
InfoWorld

Why your AI agents need a trust layer before it’s too late

One hacked AI agent took down 50 others, proving that agentic AI needs a “DNS for trust” before autonomy turns into chaos.
IEEE

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...