18 papers · ranked by Valyu relevance
Ming Li, Jianshan Zhang, Jingfeng Lin, Zheyi Chen + 5 more
'Stefan Nastic' 'Patrizio Dazzi' 'Konstantinos Tserpes' 'Sashko Ristov'] The emerging serverless computing has become a captivating paradigm for deploying cloud applications, alleviating developers’ concerns about infrastructure resource management by configuring necessary parameters such as latency and memory…
Sergiy Kolesnikov, Norbert Siegmund, Christian Kästner, Sven Apel
—Detecting feature interactions is imperative for accurately predicting performance of highly-configurable systems. State-of-the-art performance prediction techniques rely on supervised machine learning for detecting feature interactions, which, in turn, relies on time consuming performance measurements to obtain…
Francesca Gomez, Adam Buick, Leah Ferentinos, Haelee Kim + 1 more
Frontier AI developers operate at the intersection of rapid technical progress, extreme risk exposure, and growing regulatory scrutiny. While a range of external evaluations and safety frameworks have emerged, comparatively little attention has been paid to how internal organizational assurance should be structured to…
Diego Candia-Rivera
This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state regulation into computational architectures for adaptive autonomy. Interoception, conceived as the monitoring…
Alejandro Tlaie, Muad Y. Abd El Hay, Berkutay Mert, Robert Taylor + 6 more
Animal behaviour is shaped to a large degree by internal cognitive states, but it is unknown whether these states are similar across species. To address this question, we developed a virtual reality setup in which mice and macaques engage in the same naturalistic visual foraging task. We exploited the richness of a…
Yisen Wang, Ruimin Wang, Jing Jing, Huanwei Wang + 1 more
The rapid expansion of the open-source community has shortened the software development cycle, but the spread of vulnerabilities has been accelerated, especially in the field of the Internet of Things. In recent years, the frequency of attacks against connected devices is increasing exponentially; thus, the…
Hiun Kim
Modularity is the fundamental aspect of modern software engineering, however many advanced modularity techniques requires prospective technologies as part of development and operation process. In this paper, we present Refinable Function, an object-oriented approach to advanced languagebased, symmetric modularity…
Jonas Schuett
This article argues that frontier artificial intelligence (AI) developers need an internal audit function. First, it describes the role of internal audit in corporate governance: internal audit evaluates the adequacy and effectiveness of a company's risk management, control, and governance processes. It is…
Taiki Oka, Yutaro Koyama, Akihiro Sasaki, Misa Murakami + 2 more
The internal/external attention framework characterises attention focused on internal representations, such as emotions, versus external representations, such as perceptual stimuli. The inability to focus one’s attention is considered a critical factor in psychiatric disorders. While these different attentional foci…
Authors not listed
A new machine learning force field is introduced. In this force field, the intermolecular interaction is calculated based on tted electron charge density, while the intramolecular energy is modeled using a traditional atomic-structure-based machine learning force field model. The electron density of the molecular…
Jose Cleydson F. Silva, Layla Schuster, Nick Sexson, Melissa Erdem + 4 more
Characterizing protein families’ structural and functional diversity is essential for understanding their biological roles. Traditional analyses often focus on primary and secondary structures, which may not fully capture complex protein interactions. Here we introduce InteracTor, a novel toolkit that extracts…
Eduardo Fernandes, Marcos Kalinowski
—Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Indeed, internal attributes can become critical if their measurements assume anomalous values. Yet, current knowledge is scarce on how developers perceive the relevance of critical…
Jonas Schuett
The paper argues that organizations that have the stated goal of building artificial general intelligence (AGI) need an internal audit function. First, it explains what internal audit is: a specific team that performs an ongoing assessment of an organization's risk management practices and reports directly to the board…
Oliver Lee, Malte Gather, Eli Zysman-Colman
We describe a new tool for the efficient management of computational chemistry. Digichem is a program that automates and simplifies nearly the entire computational pipeline, including large-scale batch submission of calculations, analysis and results parsing, the generation of 3D density plots and 2D graphs of…
Oskar Weser, Björn Hein Hanke, Ricardo Mata
In this work, we present a fully automated method for the construction of chemically meaningful sets of non-redundant internal coordinates (also commonly denoted as Z-matrices) from the cartesian coordinates of a molecular system. Particular focus is placed on avoiding ill-definitions of angles and dihedrals due to…
Xueliang Leon Liu
As high-throughput biological sequencing becomes faster and cheaper, the need to extract useful information from sequencing becomes ever more paramount, often limited by low-throughput experimental characterizations. For proteins, accurate prediction of their functions directly from their primary amino-acid sequences…
R. Tetley, P. Guardado-Calvo, J. Fedry, F. Rey + 1 more
We present a sequence-structure based method characterizing a set of functionally related proteins exhibiting low sequence identity and loose structural conservation. Given a (small) set of structures, our method consists of three main steps. First, pairwise structural alignments are combined with multi-scale geometric…
Maxat Kulmanov, Robert Hoehndorf
Protein function prediction is one of the major tasks of bioinformatics that can help in wide range of biological problems such as understanding disease mechanisms or finding drug targets. Many methods are available for predicting protein functions from sequence based features, protein–protein interaction networks…