Joint Embedding Predictive Architecture trained on images and videos produce good representations for image and video ...

If you're looking to enhance your AI knowledge, check out Jake Bird's blog which outlines the power of AI, its capabilities ...

Just as the PC and cloud defined much of Microsoft’s first 50 years, and just as its struggles in mobile set the company back ...

Abstract: Vision transformers combined with self-supervised learning have enabled the development of models which scale across large datasets for several downstream tasks like classification, ...

Central to this self-supervised learning approach is the acknowledgment of the intrinsic interconnections among various features within a single data sample (16). The approach initiates with the ...

This is the offical code repository accompanying our paper on Self-supervised representation learning from 12-lead ECG data. For a detailed description of technical details and experimental results, ...

Recent research has used large language models (LLMs) to study the neural basis of naturalistic language processing in the human brain. LLMs have rapidly grown in complexity, leading to improved ...

Artificial intelligence is often envisioned as a helper to experts such as radiologists, acting as a second set of eyes.

An alternative is self-supervised contrastive representation learning, which differentiates similar and dissimilar samples. This method has proven effective in image and natural language processing ...

MixMode, the leading provider of advanced AI-powered cybersecurity solutions,  has been recognized by USA Today as one of the Top 10 AI Companies to Watch in 2024. This prestigious acknowledgment ...