Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

A fully in-situ, optoelectronic mid-infrared filter using silicon metasurfaces and thermo-optic tunability can achieve ...

Compared with the optimization technology of retraining models, fine-tuning pretrained neural networks have been widely used in industrial process monitoring because of their high precision and low ...

There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation (RAG) ...

Apple Thursday made changes to its App Store European policies, saying it believes the new rules will help the company avoid a fine of 500 million euro ($585 million) from the EU for violating the ...

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A ...

Data-driven results Research shows poor transition from pregnancy to lactation often results in the loss of 10-20 pounds of peak milk yield, which could equal 2,000-4,000 pounds of untapped milk yield ...

This image unveiled at the first look event combines 678 separate images taken by NSF–DOE Vera C. Rubin Observatory in just over seven hours of observing time. Combining many images in this way ...