Google Gemma 4 12B, released June 3, is an open-weight multimodal model that processes text, images, audio, and video in a ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Tanaka Masayuki's PCMFlow722 library enables (half-duplex) two-way real-time HD voice over ESP-NOW on ESP32 boards with a speaker and a microphone, ...

This is a Pytorch implementation of Reformer https://openreview.net/pdf?id=rkgNKkHtvB It includes LSH attention, reversible network, and chunking. It has been ...

Abstract: Most methods for medical image segmentation use U-Net or its variants as they have been successful in most of the applications. After a detailed analysis of these “traditional” ...

The Rockchip Developer Conference 2025 (RKDC!2025) is now taking place in Fuzhou, China, with some interesting announcements such as the Rockchip RK3668 10-core Arm Cortex-A730/A530 processor with a ...

Nvidia has become one of the most valuable companies in the world in recent years thanks to the stock market noticing how much demand there is for graphics processing units (GPUs), the powerful chips ...

Open Broadcast Systems, a specialist in software-based low-latency video encoding and decoding, has announced that Mobile TV Group has selected its encoders and decoders for low-latency video ...

Learn how to build a stable diffusion VAE from scratch using PyTorch. VAE stands for VariationalAutoencoder. It's a type of autoencoder and a neural network that trains using an unsupervisedtechnique.