This https://arxiv.org/abs/2502.08698 has been replaced.
initial toot: https://mastoxiv.page/@arX…
Carbon-based Microfabricated Organic Electrochemical Transistors Enabled by Printing and Laser Ablation
Alan Eduardo Avila Ramirez, Jessika Jessika, Yujie Fu, Gabriel Gyllensting, Marine Batista, David Hijman, Jyoti Shakya, Yazhou Wang, Wan Yue, Renee Kroon, Jiantong Li, Mahiar Max Hamedi, Anna Herland, Erica Zeglio
https://arxiv.org/abs/2…
Österreich hat genug: Die Regierung will das Versenden von sogenannten Dickpics und ähnlichem Material ohne Zustimmung unter Strafe stellen❗
Zum Artikel: https://heise.de/-10453638?wt_mc=sm.red.ho.mastodon.mastodon.md_…
The Jet Origin of the Mid-infrared Excess in the Black Hole V404 Cygni in Quiescence
E. S. Borowski, R. I. Hynes, Q. Hunt, A. J. Tetarenko, R. M. Plotkin, T. Shahbaz, P. Gandhi, T. J. Maccarone, J. C. A. Miller-Jones, C. O. Heinke, A. W. Shaw, T. D. Russell, G. R. Sivakoff, P. A. Charles, E. V. Palaiologou, P. Reig
https://arxiv…
Congratulations to Akhil Thomas for his succesful PhD defense today in Freiburg with a thesis on Data-driven analysis of microstructure-sensitive fatigue damage initiation! 🎉🥂🙌
#pmd #materialsscience #ai
An Ontology for Representing Curriculum and Learning Material
Antrea Christou, Chris Davis Jaldi, Joseph Zalewski, Hande K\"u\c{c}\"uk McGinty, Pascal Hitzler, Cogan Shimizu
https://arxiv.org/abs/2506.05751
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments
Farha Abdul Wasay, Mohammed Abdul Rahman, Hania Ghouse
https://arxiv.org/abs/2506.14513
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.
Non-Equatorial Deflection of Light due to Kerr-Newman Black Hole: A Material Medium Approach
Saswati Roy, Shubham Kala, Prasanjit Ghosh, Hemwati Nandan, Asoke K. Sen
https://arxiv.org/abs/2506.11643
Electron conductive self-assembled hybrid low-molecular weight glycolipid-nanosilver gels
Korin Gasia Ozkaya (LCMCP-SMiLES), Othmane Darouich (LCMCP), Hynd Remita (ICP), Isabelle Lampre (ICP), Lionel Porcar (ILL), Alain Carvalho (ICS), M. Schmutz (ICS), Sandra Casale (LRS), Christel Laberty-Robert (LCMCP), Niki Baccile (LCMCP-SMiLES)
https://