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 ...

It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...

A comprehensive Python-based face recognition attendance system that automatically detects and recognizes faces from a webcam feed and marks attendance in CSV files. The system uses OpenCV for ...

Abstract: In our modern-digital age, monitoring attendance system in education institutions play a pivotal role for insuring accountability, optimizing resource utilization and enhancing efficiency.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

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 ...

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 ...

An automated Attendance Management System that uses Face Recognition to mark and store attendance securely. This project helps replace manual roll calls with a faster and more reliable solution.

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 ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. Until just a few years ago, the U.S. Air ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...