Abstract: Sketch is widely used in many traffic estimation tasks due to its good balance among accuracy, speed, and memory usage. In scenarios with priority flows, priority-aware sketch, as an ...

The Audi Concept C represents the future of Audi. With its unmistakable design language, it offers a preview of future models and a new interior experience. It is the first manifestation of the new ...

A new airline-style demand pricing model recently adopted by Disneyland Paris that rewards visitors who book early and punishes those who wait too long to buy tickets may soon be coming to Disneyland ...

The investment seeks long-term total return. The adviser employs a dynamic investment strategy seeking to achieve, over time, a total return in excess of the broad U.S. equity market by selecting ...

The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...

iPhone 17, iPhone 17 Pro, and iPhone 17 Pro Max models can be charged up to 50% in around 20 minutes with a compatible USB-C power adapter, according to Apple's website. That means iPhone 17 models ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

Scientists have unveiled the strongest evidence yet that a combination of diet, exercise and brain training can improve thinking and memory in older Americans. A study of more than 2,100 sedentary ...

Run default examples/kv_cache_reuse/local_backends/offload.py: os.environ["LMCACHE_MAX_LOCAL_CPU_SIZE"] = "5" program tried to allocate 5GB pinned memory and failed ...

Immediate-early genes (IEGs), including c-Fos, are integral to the brain's response to stimuli. Initially identified as a proto-oncogene, c-Fos is essential for neural activity, synaptic plasticity, ...

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...