Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Abstract: Mixed-signal machine learning (ML) classification has recently been demonstrated as an efficient alternative for classification with power expensive digital MOSFET circuits. In this paper, a ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...

In our previous work, we demonstrated the efficacy of machine learning classifiers to accelerate the process by collecting home videos of US-based children, identifying a reduced subset of behavioral ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

Aptiv PLC (NYSE: APTV), a global industrial technology company, today announced the launch of its Advanced Occupancy ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Idiopathic pulmonary fibrosis remains a hard-to-treat lung disease with limited effective drugs. A recent study in Engineering used machine learning ...