A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Image captioning refers to the process of creating a natural language description for one or more images. This task has several practical applications, from aiding in medical diagnoses through image ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

Key Takeaways: Llama 3.2 integrates a pre-trained image encoder with a language model using cross-attention layers to handle both vision and text tasks. The 11B and 90B models excel in tasks like ...

Pixtral’s architecture combines the Mistral Nemo text model with a custom vision encoder. Fine-tuning techniques like Low-Rank Adaptation (LoRA) extend Pixtral’s capabilities to custom datasets.