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Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy. Experts from University of ...
Google has disclosed that the company's continued adoption of the Rust programming language in Android has resulted in the number of memory safety vulnerabilities falling below 20% of total ...
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 ...
What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...
Abstract: In this study, we propose LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments. LWMalloc incorporates a lightweight data structure, a deferred ...
Abstract: We present FlexAlloc, a dynamic memory partitioning system designed to enhance the memory management capabilities of SeKVM. By allowing the hostvisor to allocate memory to the corevisor ...
lib: contains self-defined modules for our work, such as data loading, data pre-process, normalization, and evaluate metrics. Selecting train will retrain the model and save the trained model ...
In the world of programming languages it often feels like being stuck in a Groundhog Day-esque loop through purgatory, as effectively the same problems are being solved over and over, with previous ...
The C-language extension compiler includes memory-safe pointers along with new safety features not found in C or C++. TrapC, a fork of the C language, is being developed as a potential solution for ...