Tootfinder

Entangled Photon Pair Generator via Biexciton-Exciton Cascade in Semiconductor Quantum Dots and its Simulation
Simon Sekav\v{c}nik, Paul Kohl, Janis N\"otzel
https://arxiv.org/abs/2510.09262

Entangled Photon Pair Generator via Biexciton-Exciton Cascade in Semiconductor Quantum Dots and its Simulation
The generation of entangled photon pairs is highly useful for many types of quantum technologies. In this work an entangled photon pair generator that utilises the biexciton-exciton cascade in semiconductor quantum dots is described on a physical, mathematical, and software level. The system is implemented and simulated as a self-contained component in a framework for bigger quantum optical experiments. Thus, it is a description to further the holistic understanding of the system for interdisci…

Detection of Performance Changes in MooBench Results Using Nyrki\"o on GitHub Actions
Shinhyung Yang, David Georg Reichelt, Henrik Ingo, Wilhelm Hasselbring
https://arxiv.org/abs/2510.11310

Detection of Performance Changes in MooBench Results Using Nyrkiö on GitHub Actions
In GitHub with its 518 million hosted projects, performance changes within these projects are highly relevant to the project's users. Although performance measurement is supported by GitHub CI/CD, performance change detection is a challenging topic. In this paper, we demonstrate how we incorporated Nyrkiö to MooBench. Prior to this work, Moobench continuously ran on GitHub virtual machines, measuring overhead of tracing agents, but without change detection. By adding the upload of the measur…

We are happy to welcome @… from RWTH in today's #nfdicore playground talking about "Bridging the Gap from Biomedical to Domain-Agnostic Semantics".
Besides others, he is demonstrating that our

from my link log —
Thinking with Types: type-level programming in Haskell.
https://thinkingwithtypes.com/
saved 2019-05-26 https://dotat.at/:/PZEX4.html

The assumption is that one day large language models and other related AI technologies fostered by Google Gemini and OpenAI ChatGPT actually will be a great and infallible productivity tool for genuine work.
It already is decent for providing basic overviews of highly-covered, well-sourced topics, even as hallucinations and sycophancy continue to dog the tech, particularly in situations where accountability is more critical.
Despite today's downsides,
many companies ar…

Analysis: OpenAI is a loss-making machine, with estimates that it has no road to profitability by 2030 — and will need a further $207 billion in funding even if it gets there
Don't call it a bubble! Loss-making monster OpenAI is on the hook for $1.4 trillion (with a T) in compute commitments. How can this go on?

"I am not at all an expert on the topic you propose I should cover, and I see that those topics on which I claim to have some knowledge are already very expertly covered by colleagues. This is actually a source of relief, since I think that such a resource is highly important, yet my schedule over the next year is already so full that I would not be able to give it the attention it deserves. I wish you all the best for the project!"

💬 All talks and workshops from #hacklu2025 have their own Discourse topic — making it easy to comment, share feedback, and follow updates per session.
👉 https://discourse.ossbase.org/c/hack-lu/…

hack.lu
Hack.lu (and CTI summit) is an open convention/conference where people can discuss about computer security, privacy, information technology and its cultural/technical implication on society. It’s the 19th edition (21st → 24th October) of hack.lu in Luxembourg.

Designing Walrus: Relational Programming with Rich Types, On-Demand Laziness, and Structured Traces
Santiago Cu\'ellar, Naomi Spargo, Jonathan Daugherty, David Darais
https://arxiv.org/abs/2510.02579

Designing Walrus: Relational Programming with Rich Types, On-Demand Laziness, and Structured Traces
We present Walrus, a functional relational programming language embedded in Haskell that extends the miniKanren model with type-polymorphic unification, on-demand laziness, and a range of usability features aimed at practical development. These include use of Haskell Generics for boilerplate reduction, structured debugging traces, and ergonomic support for product types. We describe the design and implementation of Walrus through the lens of our experience developing bidirectional compilers, an…

Cat: Post-training quantization error reduction via cluster-based affine transformation
Ali Zoljodi, Radu Timofte, Masoud Daneshtalab
https://arxiv.org/abs/2509.26277 https://…

Cat: Post-training quantization error reduction via cluster-based affine transformation
Post-Training Quantization (PTQ) reduces the memory footprint and computational overhead of deep neural networks by converting full-precision (FP) values into quantized and compressed data types. While PTQ is more cost-efficient than Quantization-Aware Training (QAT), it is highly susceptible to accuracy degradation under a low-bit quantization (LQ) regime (e.g., 2-bit). Affine transformation is a classical technique used to reduce the discrepancy between the information processed by a quantize…

malaria_genes: Malaria var DBLa HVR networks
Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant. Metadata includes two types of node labels, both based on sequence st…