Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & Public Health have created the most detailed maps to date showing how genes ...
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
The thought experiment began with a number. Single-mode fiber optics can now transmit data at 256 terabits per second over 200 kilometers. Based on that capacity, ...
As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...
Background: Working memory (WM) loss, which can lead to a loss of independence, and declines in the quality of life of older adults, is becoming an increasingly prominent issue affecting the ageing ...
Abstract: Intelligent Vehicle (IV) research is gaining popularity due to the convergence of technological advancements and societal demands, which also leads to the fundamental demand for precise ...
Abstract: The rapid development of Large Language Models (LLMs) has driven higher demands for their inference efficiency. As a key component of Transformer model inference, KV Cache has become a ...
Feature Large language model inference is often stateless, with each query handled independently and no carryover from previous interactions. A request arrives, the model generates a response, and the ...
🔥Fastest FLUX.1-dev Inference with Context Parallelism and First Block Cache on NVIDIA L20 GPUs🔥 🔥Fastest HunyuanVideo Inference with Context Parallelism and First Block Cache on NVIDIA L20 GPUs🔥 ...
There are one instrumented test and one local test in the project. Open it on Android Studio or IntelliJ and run them.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results