Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

The “P” in “ChatGPT” is perfect for cookieless targeting. Here “P” stands for pre-trained. It’s an aspect of the latest generation of AI models that deserves a closer look from programmatic ...

A team has developed a 'deep learning-based ultrasound hologram generation framework' technology that can freely configure the form of focused ultrasound in real time based on holograms. It is ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

At its core, PositiveGrid’s SparkAI is an AI-powered tone generator embedded in the company’s highly successful Spark app. Using deep learning, self-supervised learning, and transformer-based ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...