Prior research on recognition memory has commonly used static cues (e.g., images) to evaluate familiarity-based item memory and recollection-based associative memory. Dynamic cues (e.g., videos) offer ...

Though widely used, including in military systems, applications written in C and C++ are insecure. Adversaries can exploit their temporal memory safety errors to gain unauthorized access, exfiltrate ...

This podcast explores updates to the Pointer Ownership Model for C, a modeling framework designed to improve the ability of developers to statically analyze C programs for errors involving temporal ...

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 ...

In this tutorial, we explore how neural memory agents can learn continuously without forgetting past experiences. We design a memory-augmented neural network that integrates a Differentiable Neural ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

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 ...

Abstract: Most modern computers are based on a von Neumann architecture, in which computational data are moved between processors and memory. However, due to the gap in operation speed between the ...