In this week’s edition of InnovationRx, we look at AI medical scams, using machine learning to derive drugs from nature, ...

Overview DevOps speeds up software delivery while ensuring stability and reliability in applications.MLOps manages models and data to maintain accuracy, fairnes ...

Learn how AI in retail helps business owners increase profits, reduce waste, and streamline operations for long-term growth.

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about the human brain.

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

Abstract: In today's digital world, software quality assurance is a crucial part of the Software Development Life Cycle (SDLC), and automated testing is essential to this effort. This study ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Abstract: Decision-making by Machine Learning (ML) models can exhibit biased behavior, resulting in unfair outcomes. Testing ML models for such biases is essential to ensure unbiased decision-making.