Healthcare Innovation

What Clinical Groups Told HHS They Need to Accelerate AI Adoption

MGMA stresses the importance of a transparency framework to provide visibility into model attributes, data sources, and validation methods ...

AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
Security Boulevard

Model Inversion Attacks: Growing AI Business Risk

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

From apes to wolves, we are changing the face of conservation tech: Rushikesh Chavan, Director, The Habitats Trust

Working across India, THT works with over 120 partners covering an area of over six lakh hectares. It has developed cutting-edge technologies to solve complex conservation challenges.

Speechify's AI Voice Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Salt Security Expands ‘Universal Visibility’ with API Security for Databricks and Edge Support for Netlify

LONDON, UNITED KINGDOM, January 22, 2026 / EINPresswire.com / — New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern composable web architectures, providing the ...

MojoAuth Surpasses Half-Billion Logins, Launches AI-Native Console for Developers

Passwordless authentication platform onboards 5,000+ companies in 2025 as enterprise demand accelerates We built ...
Morning Overview on MSN

How rivals can hijack AI models to steal secrets and build deadly clones?

Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
GitHub

Dockerize and deploy machine learning model as REST API using Flask

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...