Modern Smart Grids rely on seamless communication among substations, IoT-enabled devices, and distributed renewable energy resources. Wireless communication channels in these environments are often ...

Abstract: Lossless turbo source coding with decremental/incremental redundancy is a variable-length source coding scheme which employs turbo codes for data ...

Artificial intelligence continues to evolve rapidly, with recent developments showcasing significant progress across multimodal models, persistent agents and advanced coding workflows. Universe of AI ...

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, and it’s designed from the ground up to close the loop between seeing, reasoning and acting. Where many vision-language models ...

Abstract: A novel blind parameter-estimation method, which identifies a turbo encoder, is proposed in this paper. The blind estimator is designed using an iterative expectation-maximization (EM) ...

AI Toolkit is an all in one training suite for diffusion models. I try to support all the latest models on consumer grade hardware. Image and video models. It can be run as a GUI or CLI. It is ...

The landscape of high-performance image generation models is currently dominated by proprietary systems, such as Nano Banana Pro and Seedream 4.0. Leading open-source alternatives, including ...

High-throughput electrochemical synthesis is an emerging DNA synthesis technology that has attracted considerable attention due to its scalability and cost ...

The LTE physical layer (PHY) is a highly complex and optimized signal processing chain designed to reliably transmit data over a challenging wireless channel. Its primary function is to transform data ...

Make transformers serving fast by adding a turbo to your inference engine! The WeChat AI open-sourced TurboTransformers with the following characteristics. Supporting both Transformers Encoder and ...