Browsing: ML News
Researchers from FAIR Meta, HuggingFace, AutoGPT, and GenAI Meta address the problem of testing the capabilities of general AI assistants in handling real-world questions that require…
Researchers have explored the potential of using synthetic images generated by text-to-image models to learn visual representations and pave the way for more efficient and bias-reduced…
Recently, deep learning has been marked by a surge in research aimed at optimizing models for dynamic sparsity. In this scenario, sparsity patterns only reveal themselves…
LLMs (Large Language Models) are trained on vast volumes of textual data to comprehend and produce language similar to that of humans. The GPT-3, GPT-4, and…
The capacity of a model to use inputs at inference time to modify its behavior without updating its weights to tackle problems that were not present…
Among the daily deluge of news about new advancements in Large Language Models (LLMs), you might be asking, “how do I train my own?”. Today, an…
There is a long tradition of using games as AI performance indicators. Search and learning-based approaches performed well in various perfect information games, while game theory-based…
Researchers have undertaken the formidable task of enhancing the independence of individuals with visual impairments through the innovative Project Guideline. This initiative seeks to empower people…
Researchers from Genentech introduced tumor dynamic neural-ODE (TDNODE) as a pharmacology-informed neural network for enhancing tumor dynamic modeling in oncology drug development. Overcoming the limitations of…
Potential energy surfaces (PESs) represent the relationship between the positions of atoms or molecules and their associated potential energy. PESs are essential in understanding molecular behavior,…