Results 81 to 90 of about 1,187,761 (284)

Artificial intelligence-open science symbiosis in chemoinformatics

Artificial Intelligence in the Life Sciences
In chemoinformatics, artificial intelligence (AI) continues to grow a symbiosis with open science (OS). Such a close AI-OS interaction brings substantial practical benefits in research, scientific dissemination, and education, to name a few areas. The AI-
Filip Miljković, José L. Medina-Franco
doaj   +1 more source

Açık Kaynak İstihbaratı Üzerinden Siber Saldırı Tespiti Yöntemleri

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2019
Son yıllarda siber suçun gittikçe büyüyen etkisi, siber tehditlerin üstesinden gelmek için dünya çapında istihbaratve kanun uygulayıcı kurumlar ortaya çıkartmıştır.
Ali Eksim, Mustafa Kara
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A multi-source threat intelligence confidence value evaluation method based on machine learning

Dianxin kexue, 2020
During the collection process of multi-source threat intelligence,it is very hard for the intelligence center to make a scientific decision to massive intelligence because the data value density is low,the intelligence repeatabil-ity is high,and the ...
Hansheng LIU, Hongyu TANG, Mingxia BO, Jianfeng NIU, Tianbo LI, Lingxiao LI   +5 more
doaj   +2 more sources

Open source intelligence and AI: a systematic review of the GELSI literature. [PDF]

AI Soc, 2023
Ghioni R, Taddeo M, Floridi L.
europepmc   +1 more source

The current debate over U.S. intelligence is missing the larger problem, the intelligence community’s inability to think big [PDF]

, 2013
Since the end of the cold war, the U.S. intelligence community has been confronted by an increasingly complex and interconnected international system.
Kerbel, Josh
core  

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Open Source Intelligence, Open Social Intelligence and Privacy by Design. [PDF]

, 2014
Ponència presentada a European Conference on Social Intelligence (ECSI-2014)
Casanovas, Pompeu, Royal Melbourne Institute of Technology (Austràlia). Centre for Applied Social Research   +1 more
openaire   +3 more sources

A System for Accessible Artificial Intelligence

, 2017
While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowledge of the systems required to use them.
D. A. Ferrucci, EM Ronald, F Pedregosa, Ignacio Arnaldo, Jason H. Moore, JH Moore, JH Moore, JH Moore, Karthik Kannappan, Randal S. Olson, RS Olson, Sara Silva, William La Cava, William La Cava   +13 more
core   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source