Consequently, self-supervised learning (SSL) is emerging as a promising strategy to extract meaningful data representations with minimal reliance on labelled samples. In this paper, we introduce a ...

One-class support vector machines (OCSVMs) are very effective for semisupervised anomaly detection. However, their performance strongly depends on the settings of their hyperparameters, which has not ...

This review presents a concise update of nongenomic effects of aldosterone on the mammalian renal tubule. Emphasis is placed on ion transport proteins regulated by aldosterone through nongenomic ...

Nick Stone discusses some of the many ways in which light can be used for diagnostic and therapeutic applications ...

Instead, it uses a trained generator that maps a batch of unlabelled task prompts to LoRA weight updates in a single forward pass. The researchers claim that DnD delivers task-specific parameters up ...

Meta has released V-JEPA 2, a powerful new AI world model designed to help robots and self-driving cars better understand and interact with the physical world through 3D reasoning and video-based ...

AI tools are quietly reshaping Indian healthcare. From foetal ultrasound dating and high-risk-pregnancy guidance to virtual autopsies and clinical chatbots, they are matching expert accuracy while ...

A recent report by CUTS International has highlighted the privacy risks of AI content detection tools like watermarking.

Drivers can't seem to decide whether it's legal to park next to a fire hydrant. These unlabelled road signs didn't seem to help the debate. Source: Reddit/Electronic_Hour_1711 ...

An accessible and adaptable artificial-intelligence model trained on a diverse set of X-ray images is better than existing models at spotting rare chest diseases.