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.
Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
The title “AI Engineer” has proliferated across job postings faster than any consistent definition of what it means has ...
Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...
This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
Emotion recognition is an important research field including psychology, healthcare, and human-computer interaction (HCI). However, conventional techniques mainly rely on textual analysis and facial ...
The modern digital era necessitates instantaneous automated categorisation techniques due to the increasing growth of unstructured textual data from documents, reviews, and social media as well as ...
Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...
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