Abstract: Deep-learning methods are becoming increasingly popular for improving the efficiency of specific emitter identification (SEI). However, in noncooperative scenarios, it is difficult to both ...

In this work, we studied, formalized, and measured an important aspect of large language models (LLMs): their (in)ability to separate instruction from data in the inputs. Consider the following input ...

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...

Large Language Models (LLMs) are transforming how users approach tasks related to searching, interacting with, and generating new content. These advanced language models have garnered immense ...

This extension is still very much experimental. Features and APIs are subject to change quickly. The manager be the only interface for extensions / users to retrieve secrets. It knows only one ...

Abstract: Energy-efficient matrix-vector multiplications (MVMs) are key to bringing neural network (NN) inference to edge devices. This has led to a wide range of state-of-the-art MVM acceleration ...

(CNN) — The biggest event in New Zealand on Thursday may have been the opening of a furniture store. Eager shoppers counted down “3… 2…1” and waved Swedish ...

At a recent high-level aviation summit, key leaders spoke about the benefits and pitfalls of using artificial intelligence (AI) for aviation, as well as in everyday use. Honeywell Aerospace hosted its ...