The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

dbForge 2025.3: AI Assistant in SQL Complete, Expanded Connectivity, and Smarter SQL Workflows

Forge 2025.3 adds AI Assistant to SQL Complete, supports SSMS 22, Visual Studio 2026, MySQL 9.5, MariaDB 12.2, and ...

Databricks' serverless database slashes app development from months to days as companies prep for agentic AI

The Lakebase service has been in development since June 2025 and is based on technology Databricks gained via its acquisition ...
Security Boulevard

The Complete Guide to Authentication Implementation for Modern Applications

A comprehensive developer guide to implementing secure authentication in modern applications. Covers OAuth 2.0, OIDC, ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
Medical Xpress

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
IEEE

ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning

Abstract: Many Web Application Firewalls (WAFs) leverage the OWASP Core Rule Set (CRS) to block incoming malicious requests. The CRS consists of different sets of rules designed by domain experts to ...
Psychology Today

How to Use AI to Amplify (Not Hinder) Learning

This is Part 6 of a series on AI in education. See Part 1 here. In Johann Wolfgang von Goethe's 1797 poem "The Sorcerer's Apprentice" (later immortalized by Walt Disney), a trainee makes a broom fetch ...
IEEE

Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion

Abstract: Deploying machine learning (ML) inference pipelines in databases become increasingly prevalent in many applications. In order to avoid data transfer between the database and ML runtimes, ...
Frontiers

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...