Monks’ Dave Carey on the 100% AI Product Accuracy Breakthrough and the Rise of the ‘10-Person Squad’

High-fidelity brand assets are no longer impossible. Learn how Monks uses raw CAD data ingestion to achieve flawless AI product accuracy for brands.

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
AZoSensors

Textile-Based IDC Strain Sensor Tracks Yoga Postures with 94.4% Accuracy

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
BMJ Open

Primary care use among adults with eating disorders in England: a population-based cohort study using electronic health records

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...

When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Low-cost AI could transform health care logistics in low- and middle-income countries

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
News Medical

AI-driven model predicts type 1 diabetes risk with greater accuracy

Study: Genetic association and machine learning improve the prediction of type 1 diabetes risk. Image credit: sasirin pamai/Shutterstock.com Researchers performed genetic association analysis and ...
IEEE

Power Quality Disturbance Classification Assessment Using Logistic Regression Algorithm

Abstract: Voltage sag, swell, harmonics, and transients are power quality (PQ) disturbances that damage modern electrical apparatus. This paper presents an effective classification approach using ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...