Quantum computing brings new challenges to symmetric cryptography. While it is often assumed that simply doubling the key length suffices against quantum attacks, Simon's algorithm reveals that deeper ...

Abstract: A novel method for integrating driving behavior and traffic context through signal symbolization is presented in this paper. This symbolization framework is proposed as a data reduction ...

Abstract: Efficiently and effectively identifying similar videos is an important and nontrivial problem in content-based video retrieval. This paper proposes a subspace symbolization approach, namely ...

ASTRIDE: Adaptive Symbolization for Time Series Databases available on arXiv. All the code is written in Python (scripts and notebooks). Note that the ASTRIDE method has been accepted at EUSIPCO 2024: ...

Advances in artificial intelligence, particularly large language models (LLMs), have been driven by the "scaling law" paradigm: performance improves with more data, computation, and larger models.

CM Mohan Yadav says, "... Rakshabandhan is a significant Hindu festival where sisters tie a sacred thread on their brothers' wrists, praying for their longevity and success, and brothers pledge to ...

ABSTRACT: This paper revisits the relations between trauma, repression, foreclosure, and neurodevelopmental disorders from a longitudinal perspective. We propose that failures in symbolization, a ...

This enables using Pyroscope with the OTel ebpf-profiler as shown in this example. The ebpf-profiler README specifies that symbolization of stack traces should be done in the backend and that there ...

ABSTRACT: Background: A significant challenge in developing AI assistants, such as chatbots as mentors or coaches for leaders, is the Uncanny Valley effect. This phenomenon describes the discomfort ...