Artificial intelligence (AI) is rapidly reshaping how software is built, and increasingly, how it’s taught. At the 2026 ...

Hyderabad, 11 February 2026: iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling ...

With the rapid development of GPT-based models, educational chatbots are no longer limited to scripted dialogs. They can now support open-ended interaction and inquiry-based learning. In a study ...

Public health recommendations suggest individuals can resume normal activities 5 days after symptom cessation. However, our study finds that full recovery can take longer, indicating that delayed ...

Abstract: The ever-changing fabric of the financial markets has seen the emergence of algorithmic trading as a revolutionary force, which has redefined the boundaries of trading methods and the ...

Background: Implementing machine learning models to identify clinical deterioration on the wards is associated with decreased morbidity and mortality. However, these models have high false positive ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: While machine learning (ML) and deep learning (DL) are increasingly being adopted in agronomy, the literature shows that the use of ML Operations (MLOps) frameworks remains scarce during the ...

The convergence of machine learning (ML) and applied neuroscience continues to accelerate, driven by the synergistic demands of intelligent systems and deepening insights into the human nervous system ...