How can you protect the sanctity of a raw photograph from AI interference when it’s already been automatically run through AI inside the camera? New research seeks to restore ‘true’ sensor data – also ...

In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from seeking HEVC support. The space is crowded with pending and settled lawsuits, ...

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...

Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

blog that walks through creating a sparse mixture of experts based vision language model: https://huggingface.co/blog/AviSoori1x/seemoe You can think of this as a ...

DeepSeek-AI released 3B DeepSeek-OCR, an end to end OCR and document parsing Vision-Language Model (VLM) system that compresses long text into a small set of vision tokens, then decodes those tokens ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...

This repository contains the official PyTorch implementation for our paper, "Semi-MedSAM: Adapting SAM-assisted Semi-supervised Multi-modality Learning for Medical Endoscopic Image Segmentation", ...