In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

A groundbreaking international study published in JAMA Otolaryngology-Head & Neck Surgery has demonstrated that Artificial ...

In a recent essay by Sam Altman, titled “The Intelligence Age,” he paints a picture for the future of AI. He states that with AI, “fixing the climate, establishing a space colony, and the discovery of ...

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to ...

Vijayawada: Two academic books titled ‘Introduction to Artificial Intelligence’ and ‘Deep Learning’, authored by Dr Udayasri ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...