Tootfinder

Risks of AI-driven product development and strategies for their mitigation
Jan G\"opfert, Jann M. Weinand, Patrick Kuckertz, Noah Pflugradt, Jochen Lin{\ss}en
https://arxiv.org/abs/2506.00047

Risks of AI-driven product development and strategies for their mitigation
Humanity is progressing towards automated product development, a trend that promises faster creation of better products and thus the acceleration of technological progress. However, increasing reliance on non-human agents for this process introduces many risks. This perspective aims to initiate a discussion on these risks and appropriate mitigation strategies. To this end, we outline a set of principles for safer AI-driven product development which emphasize human oversight, accountability, and…

High-Contrast Coronagraphy
Matthew A. Kenworthy, Sebastiaan Y. Haffert
#toXiv_bot_toot

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik T\"orner, Christian Berger
https://arxiv.org/abs/2506.21693

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation
Developing autonomous driving (AD) systems is challenging due to the complexity of the systems and the need to assure their safe and reliable operation. The widely adopted approach of DevOps seems promising to support the continuous technological progress in AI and the demand for fast reaction to incidents, which necessitate continuous development, deployment, and monitoring. We present a systematic literature review meant to identify, analyse, and synthesise a broad range of existing literatur…

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

Emerging AI Approaches for Cancer Spatial Omics
Javad Noorbakhsh, Ali Foroughi pour, Jeffrey Chuang
https://arxiv.org/abs/2506.23857 https://

Emerging AI Approaches for Cancer Spatial Omics
Technological breakthroughs in spatial omics and artificial intelligence (AI) have the potential to transform the understanding of cancer cells and the tumor microenvironment. Here we review the role of AI in spatial omics, discussing the current state-of-the-art and further needs to decipher cancer biology from large-scale spatial tissue data. An overarching challenge is the development of interpretable spatial AI models, an activity which demands not only improved data integration, but also n…

MEET BIANCA-IOANA MARCU, FPF EUROPE MANAGING DIRECTOR
https://fpf.org/blog/meet-bianca-ioana-marcu-fpf-europe-managing-director/
@…

Satellite telescope of electrons and protons STEP-F of the space scientific project "CORONAS-Photon"
O. V. Dudnik
https://arxiv.org/abs/2506.23212

Satellite telescope of electrons and protons STEP-F of the space scientific project "CORONAS-Photon"
The Ukrainian satellite telescope of electrons and protons STEP-F conducted a scientific experiment in space on board the low Earth orbit spacecraft "CORONAS-Photon" in 2009. In the article it is described the background, stages of development, manufacturing and tests of weight-dimensional, breadboard, technological, flight and auxiliary models of the instrument, and of the control and test suites for the STEP-F. The principles of operation, design, and technical and scientific characteristics …

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
James Fant-Male, Roel Pieters
https://arxiv.org/abs/2506.20447

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
The shift in research focus from Industry 4.0 to Industry 5.0 (I5.0) promises a human-centric workplace, with social and well-being values at the centre of technological implementation. Human-Robot Collaboration (HRC) is a core aspect of I5.0 development, with an increase in adaptive and personalised interactions and behaviours. This review investigates recent advancements towards personalised HRC, where user-centric adaption is key. There is a growing trend for adaptable HRC research, however …

The Novo Nordisk Foundation and the Danish government plan to invest €80M to acquire and run a Microsoft-powered quantum computer, set to operate in early 2027 (Sanne Wass/Bloomberg)
https://www.bloomberg.com/news/articles/20…

Novo Nordisk Owner Buys Microsoft Quantum Computer With Denmark
The foundation behind Novo Nordisk A/S and the Danish government will invest €80 million ($93 million) in a Microsoft-powered quantum computer to boost technological development in the Nordic region.

First use of large area SiPM matrices coupled with NaI(Tl) scintillating crystal for low energy dark matter search
Edoardo Martinenghi, Valerio Toso, Fabrizio Bruno Armani, Andrea Castoldi, Giuseppe di Carlo, Luca Frontini, Niccol\`o Gallice, Chiara Guazzoni, Valentino Liberali, Alberto Stabile, Valeria Trabattoni, Andrea Zani, Davide D'Angelo
https://

First use of large area SiPM matrices coupled with NaI(Tl) scintillating crystal for low energy dark matter search
The long-standing claim of dark matter detection by the DAMA experiment remains a crucial open question in astroparticle physics. A key step towards its independent verification is the development of NaI(Tl)-based detectors with improved sensitivity at low energies. The majority of NaI(Tl)-based experiments rely on conventional photomultiplier tubes (PMTs) as single photon detectors, which present technological limitations in terms of light collection, intrinsic radioactivity and a high noise c…

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts
Radhika Kulkarni, Gianluca Brero, Yu Ding, Swati Gupta, Sven Koenig, Ramayya Krishnan, Thiago Serra, Phebe Vayanos, Segev Wasserkrug, Holly Wiberg
https://arxiv.org/abs/2507.21076

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts
In 2021, INFORMS, ACM SIGAI, and the Computing Community Consortium (CCC) hosted three workshops to explore synergies between Artificial Intelligence (AI) and Operations Research (OR) to improve decision-making. The workshops aimed to create a unified research vision for AI/OR collaboration, focusing on overcoming cultural differences and maximizing societal impact. The first two workshops addressed technological innovations, applications, and trustworthy AI development, while the final worksho…

AI, AGI, and learning efficiency
An addendum to this: I'm someone who would accurately be called "anti-AI" in the modern age, yet I'm also an "AI researcher" in some ways (have only dabbled in neutral nets).
I don't like:
- AI systems that are the product of labor abuses towards the data workers who curate their training corpora.
- AI systems that use inordinate amounts of water and energy during an intensifying climate catastrophe.
- AI systems that are fundamentally untrustworthy and which reinforce and amplify human biases, *especially* when those systems are exposed in a way that invites harms.
- AI systems which are designed to "save" my attention or brain bandwidth but such my doing so cripple my understating of the things I might use them for when I fact that understanding was the thing I was supposed to be using my time to gain, and where the later lack of such understanding will be costly to me.
- AI systems that are designed by and whose hype fattens the purse of people who materially support genocide and the construction of concentration campus (a.k.a. fascists).
In other words, I do not like and except in very extenuating circumstances I will not use ChatGPT, Claude, Copilot, Gemini, etc.
On the other hand, I do like:
- AI research as an endeavor to discover new technologies.
- Generative AI as a research topic using a spectrum of different methods.
- Speculating about non-human intelligences, including artificial ones, and including how to behave ethically towards them.
- Large language models as a specific technique, and autoencoders and other neural networks, assuming they're used responsibly in terms of both resource costs & presentation to end users.
I write this because I think some people (especially folks without CS backgrounds) may feel that opposing AI for all the harms it's causing runs the risk of opposing technological innovation more broadly, and/or may feel there's a risk that they will be "left behind" as everyone else embraces the hype and these technologies inevitability become ubiquitous and essential (I know I feel this way sometimes). Just know that is entirely possible and logically consistent to both oppose many forms of modern AI while also embracing and even being optimistic about AI research, and that while LLMs are currently all the rage, they're not the endpoint of what AI will look like in the future, and their downsides are not inherent in AI development.

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu, Yiming Liu, Guoshun Nan, Chenyuan Feng, Shujun Han, Song Gao, Bingxuan Xu, Dusit Niyato, Tony Q. S. Quek, Ping Zhang
https://arxiv.org/abs/2507.16733

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of wireless networks due to advantages, such as noise resistance, training stability, controllability, and multimodal generation. Although there have been multiple studies focusing on GDMs for wireless networks, there is still a lack of comprehensive reviews on their technological evolution. Motivated by this, we systemat…

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation
Yashothara Shanmugarasa, Ming Ding, M. A. P Chamikara, Thierry Rakotoarivelo
https://arxiv.org/abs/2506.12699

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation
Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast amounts of user data scraped from the web and collected from extensive user interactions poses risks of sensitive information leakage. Most existing surveys focus on the privacy implications of the training data but tend to overlook privacy risks from user inter…

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
Zeqin Liao, Zibin Zheng, Peifan Reng, Henglong Liang, Zixu Gao, Zhixiang Chen, Wei Li, Yuhong Nan
https://arxiv.org/abs/2507.18267

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
Embodied Artificial Intelligence Robots (EAIR) is an emerging and rapidly evolving technological domain. Ensuring their program correctness is fundamental to their successful deployment. However, a general and in-depth understanding of EAIR system bugs remains lacking, which hinders the development of practices and techniques to tackle EAIR system bugs. To bridge this gap, we conducted the first systematic study of 885 EAIR system bugs collected from 80 EAIR system projects to investigate the…

Pressure-Induced Low-Spin State Destabilization and Piezo-Chromic Effect in an Iron(II) Spin Crossover Complex with Pyrazol-Pyridine-Triazolate Coordination Core
Hanlin Yu, Maksym Seredyuk, Nan Ma, Katerina Znoviak, Nikita Liedienov, M. Carmen Mu\~noz, Iv\'an da Silva, Francisco-Javier Valverde Mu\~noz, Ricardo-Guillermo Torres Ram\'irez, Elzbieta Trzop, Wei Xu, Quanjun Li, Bingbing Liu, Georgiy Levchenko, J. Antonio Real

Pressure-Induced Low-Spin State Destabilization and Piezo-Chromic Effect in an Iron(II) Spin Crossover Complex with Pyrazol-Pyridine-Triazolate Coordination Core
Rapidly developing science and technology demand new materials with versatile and promising properties for practical applications. In this context, pseudo-octahedral iron(II) spin crossover (SCO) complexes are particularly appealing - not only for their fundamental scientific interest but also for their potential as key components in the development of multifunctional switchable molecular materials and novel technological applications. This work presents the synthesis and structure of a new mon…

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

6G Infrastructures for Edge AI: An Analytical Perspective
Kurt Horvath, Shpresa Tuda, Blerta Idrizi, Stojan Kitanov, Fisnik Doko, Dragi Kimovski
https://arxiv.org/abs/2506.10570

6G Infrastructures for Edge AI: An Analytical Perspective
The convergence of Artificial Intelligence (AI) and the Internet of Things has accelerated the development of distributed, network-sensitive applications, necessitating ultra-low latency, high throughput, and real-time processing capabilities. While 5G networks represent a significant technological milestone, their ability to support AI-driven edge applications remains constrained by performance gaps observed in real-world deployments. This paper addresses these limitations and highlights criti…

Vers un cadre ontologique pour la gestion des comp{\'e}tences : {\`a} des fins de formation, de recrutement, de m{\'e}tier, ou de recherches associ{\'e}es
Ngoc Luyen Le (Heudiasyc), Marie-H\'el\`ene Abel (Heudiasyc), Bertrand Laforge (LPNHE)
https://arxiv.org/abs/2507.05767…

Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es
The rapid transformation of the labor market, driven by technological advancements and the digital economy, requires continuous competence development and constant adaptation. In this context, traditional competence management systems lack interoperability, adaptability, and semantic understanding, making it difficult to align individual competencies with labor market needs and training programs. This paper proposes an ontology-based framework for competence management, enabling a structured re…

Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ing\'enieurs du Qu\'ebec (OIQ)
Tammy Mackenzie, Varsha Kesavan, Thomas Mekhael, Animesh Paul, Branislav Radeljic, Sara Kodeiri, Sreyoshi Bhaduri
https://arxiv.org/abs/2506.19775

Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ)
This study uses pre-trained LLMs to conduct thematic analysis to investigate disciplinary incidents involving engineers in Quebec, shedding light on critical gaps in engineering education. Through a comprehensive review of the disciplinary register of the Ordre des ingénieurs du Québec (OIQ)'s disciplinary register for 2010 to 2024, researchers from engineering education and human resources management in technological development laboratories conducted a thematic analysis of reported incident…

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

Exploring Responsible Innovation efforts in Canada and the world
Ria Chakraborty, Bruna S. de Mendon\c{c}a, Katya Driscoll, Rodolfo R. Soldati, Ray Laflamme
https://arxiv.org/abs/2507.05192

Exploring Responsible Innovation efforts in Canada and the world
The global landscape for quantum technologies (QTs) is rapidly changing, and proper understanding of their impact and subsequent regulations need to match this pace. A Responsible Innovation (RI) approach and guiding principles have been proposed to accompany this development. We examine practical efforts globally and in Canada, from industry to research to governments, and analyze the current status of quantum technological advances under the RI framework. We analyze and compare what is being …

Evaluation empirique de la s\'ecurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vuln\'erabilit\'es par exp\'erimentations de jailbreaks
Rafa\"el Nouailles (GdR)
https://arxiv.org/abs/2506.10029

Evaluation empirique de la sécurisation et de l'alignement de ChatGPT et Gemini: analyse comparative des vulnérabilités par expérimentations de jailbreaks
Large Language models (LLMs) are transforming digital usage, particularly in text generation, image creation, information retrieval and code development. ChatGPT, launched by OpenAI in November 2022, quickly became a reference, prompting the emergence of competitors such as Google's Gemini. However, these technological advances raise new cybersecurity challenges, including prompt injection attacks, the circumvention of regulatory measures (jailbreaking), the spread of misinformation (hallucinat…

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://