A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
MemoryVLA is a Cognition-Memory-Action framework for robotic manipulation inspired by human memory systems. It builds a hippocampal-like perceptual-cognitive memory to capture the temporal ...
Abstract: As AI workloads grow, memory bandwidth and access efficiency have become critical bottlenecks in high-performance accelerators. With increasing data movement demands for GEMM and GEMV ...
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 ...
The fund has returned 39.22 percent over the past year, 15.96 percent over the past three years, and 12.85 percent over the past five years.
Center of Excellence in Bioresources to Advanced Materials (B2A-CE), The Petroleum and Petrochemical College, Chulalongkorn University, Bangkok 10330, Thailand ...
(KTLA) — It’s been five years since indie pop band Nation of Language debuted (during the pandemic, no less) with their stellar, “Introduction, Presence.” In that time, the Brooklyn-based outfit has ...
Abstract: The deployment of multimodal large language models (MLLMs) on resource-constrained mobile devices poses significant challenges due to their high computational demands. This paper introduces ...
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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 ...
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 ...
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