Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...

A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and ...

Amid concerns about an over-reliance on artificial intelligence (AI), the Ministry of Education (MOE) of Singapore is studying the impact of such tools on students' learning, said Education Minister ...

Subsidised co-learning infrastructure is a policy blueprint to transform competitive exam access, but true change requires scaling educational equity beyond elite coaching markets ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

MOE is studying the impact of AI on student learning and holding off on AI tools for younger pupils to ensure strong foundational skills. Read more at straitstimes.com. Read more at straitstimes.com.

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.