Tootfinder

Using Programmable Drone in Educational Projects and Competitions
Pavel Petrovi\v{c}, Peter Ver\v{c}im\'ak
https://arxiv.org/abs/2402.17409 https://

Using Programmable Drone in Educational Projects and Competitions
The mainstream of educational robotics platforms orbits the various versions of versatile robotics sets and kits, while interesting outliers add new opportunities and extend the possible learning situations. Examples of such are reconfigurable robots, rolling sphere robots, humanoids, swimming, or underwater robots. Another kind within this category are flying drones. While remotely controlled drones were a very attractive target for hobby model makers for quite a long time already, they were s…

Generative AI in Color-Changing Systems: Re-Programmable 3D Object Textures with Material and Design Constraints
Yunyi Zhu, Faraz Faruqi, Stefanie Mueller
https://arxiv.org/abs/2404.17028

Generative AI in Color-Changing Systems: Re-Programmable 3D Object Textures with Material and Design Constraints
Advances in Generative AI tools have allowed designers to manipulate existing 3D models using text or image-based prompts, enabling creators to explore different design goals. Photochromic color-changing systems, on the other hand, allow for the reprogramming of surface texture of 3D models, enabling easy customization of physical objects and opening up the possibility of using object surfaces for data display. However, existing photochromic systems require the user to manually design the desir…

I believe I may have a new favourite browser in https://www.qutebrowser.org - it's small, it's fast, it's programmable, and you can get around using your fingers instead of wracking your wrist fiddling with pointy things. Besides, didn't your mom tell you it was rude to point?

Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
James T. Meech, Vasileios Tsoutsouras, Phillip Stanley-Marbell
https://arxiv.org/abs/2403.16421

Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
This article presents an electron tunneling noise programmable random variate accelerator for accelerating the sampling stage of Monte Carlo simulations. We used the LiteX framework to generate a Petitbateau FemtoRV RISC-V instruction set soft processor and deploy it on a Digilent Arty-100T FPGA development board. The RISC-V soft processor augmented with our programmable random variate accelerator achieves an average speedup of 8.70 times and a median speedup of 8.68 times for a suite of twelve…

Demonstration of 3 V Programmable Josephson Junction Arrays Using Non-Integer-Multiple Logic
Wenhui Cao, Erkun Yang, Jinjin Li, Huan Qiao, Yuan Zhong, Qing Zhong, Da Xu, Xueshen Wang, Xiaolong Xu, Shijian Wang, Jian Chen
https://arxiv.org/abs/2402.16072

Demonstration of 3 V Programmable Josephson Junction Arrays Using Non-Integer-Multiple Logic
This article demonstrates a new kind of programmable logic for the representation of an integer that can be used for the programmable Josephson voltage standard. It can enable the numbers of junctions in most bits to be variable integer values, which is different from normal binary logic or ternary logic. Consequently, missing junctions due to superconducting short circuits can be tolerated under this logic. This logic can also have nearly the same segmentation efficiency as ternary logic. The …

Time-domain programmable beam-splitter operations for an optical phase-sensitive non-Gaussian state
Daichi Okuno, Takato Yoshida, Ryoko Arita, Takahiro Kashiwazaki, Takeshi Umeki, Shigehito Miki, Hirotaka Terai, Masahiro Yabuno, Fumihiro China, Shuntaro Takeda
https://arxiv.org/abs/2402.14372

Time-domain programmable beam-splitter operations for an optical phase-sensitive non-Gaussian state
We present a loop-based optical processor enabling time-domain programmable beam-splitter (BS) operations for a phase-sensitive non-Gaussian state. The loop itself is of high quality, allowing for storage of a non-Gaussian state for up to seven round trips while preserving its Wigner negativity and phase coherence. We perform various BS operations on a non-Gaussian state and evaluate them as transformations of the state's waveforms. Our work integrates non-Gaussian states with time multiplexing…

A Discussion about Computational Challenges of Programmable Money in Blockchain-based CBDCs
Arlindo F. da Concei\c{c}\~ao, Roman Vitenberg
https://arxiv.org/abs/2402.12467

A Discussion about Computational Challenges of Programmable Money in Blockchain-based CBDCs
This article discusses the implementation of programmable money on DLT-based CBDCs. After briefly introducing what programmable money is, we enumerate some initiatives worldwide and discuss the critical steps for implementation. We look at the challenges from the Computer Science perspective. Four aspects were analyzed: architectural design, security, scalability, and energy consumption.

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
Julia Gonski, Aseem Gupta, Haoyi Jia, Hyunjoon Kim, Lorenzo Rota, Larry Ruckman, Angelo Dragone, Ryan Herbst
https://arxiv.org/abs/2404.17701

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
Embedded field programmable gate array (eFPGA) technology allows the implementation of reconfigurable logic within the design of an application-specific integrated circuit (ASIC). This approach offers the low power and efficiency of an ASIC along with the ease of FPGA configuration, particularly beneficial for the use case of machine learning in the data pipeline of next-generation collider experiments. An open-source framework called "FABulous" was used to design eFPGAs using 130 nm and 28 nm …