Tootfinder

Filing: FTX argues it should pay the IRS a $200M priority tax claim and a $685M subordinated claim; IRS had said FTX owed $44B in taxes then revised to $24B (MK Manoylov/The Block)
https://www.theblock.co/post/298456/ftx-wa

This Mothers' Day (Sunday May 12)... join us for a Special Edition Slow Ride to a truly-car-free space in our own back yard: Angel Island!
Meet at the Ferry Building Gate B at 11:30AM, roll at 12PM (SHARP!). The ferry costs $9.50 each way and accepts clipper card.

🔨 FBI opens criminal investigation Into Baltimore bridge collapse
#fbi

FBI opens criminal investigation Into Baltimore bridge collapse
Following the collapse of a major bridge in Baltimore after being hit by a container ship, crew members aboard the MV Dali now risk potential criminal liability, even as the ship’s owners use 1851 maritime law to limit their responsibility.

Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following
Suyeon Shin, Sujin jeon, Junghyun Kim, Gi-Cheon Kang, Byoung-Tak Zhang
https://arxiv.org/abs/2404.15190

Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following
Embodied Instruction Following (EIF) is the task of executing natural language instructions by navigating and interacting with objects in 3D environments. One of the primary challenges in EIF is compositional task planning, which is often addressed with supervised or in-context learning with labeled data. To this end, we introduce the Socratic Planner, the first zero-shot planning method that infers without the need for any training data. Socratic Planner first decomposes the instructions into …

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
https://arxiv.org/abs/2404.18599 https://arxiv.org/pdf/2404.18599
arXiv:2404.18599v1 Announce Type: new
Abstract: Purpose: Paranasal anomalies, frequently identified in routine radiological screenings, exhibit diverse morphological characteristics. Due to the diversity of anomalies, supervised learning methods require large labelled dataset exhibiting diverse anomaly morphology. Self-supervised learning (SSL) can be used to learn representations from unlabelled data. However, there are no SSL methods designed for the downstream task of classifying paranasal anomalies in the maxillary sinus (MS).
Methods: Our approach uses a 3D Convolutional Autoencoder (CAE) trained in an unsupervised anomaly detection (UAD) framework. Initially, we train the 3D CAE to reduce reconstruction errors when reconstructing normal maxillary sinus (MS) image. Then, this CAE is applied to an unlabelled dataset to generate coarse anomaly locations by creating residual MS images. Following this, a 3D Convolutional Neural Network (CNN) reconstructs these residual images, which forms our SSL task. Lastly, we fine-tune the encoder part of the 3D CNN on a labelled dataset of normal and anomalous MS images.
Results: The proposed SSL technique exhibits superior performance compared to existing generic self-supervised methods, especially in scenarios with limited annotated data. When trained on just 10% of the annotated dataset, our method achieves an Area Under the Precision-Recall Curve (AUPRC) of 0.79 for the downstream classification task. This performance surpasses other methods, with BYOL attaining an AUPRC of 0.75, SimSiam at 0.74, SimCLR at 0.73 and Masked Autoencoding using SparK at 0.75.
Conclusion: A self-supervised learning approach that inherently focuses on localizing paranasal anomalies proves to be advantageous, particularly when the subsequent task involves differentiating normal from anomalous maxillary sinuses. Access our code at https://github.com/mtec-tuhh/self-supervised-paranasal-anomaly

The hopefully final version of the Barduino. I really wanted to keep it as through-hole as possible, so everything except for the ATmega328PB, the FTDI IC, and the USB connector are through hole. Pretty happy with how it turned out, now it's time to get the boards ordered and make sure everything works...then order a bunch more...lol #electronics

👉🏽 Key Bridge Collapse Shipowner Could Legally Skirt Liability
#law

Key Bridge Collapse Shipowner Could Legally Skirt Liability
Big Oil and shipping interests have lobbied for years to keep a law on the books that caps their liability following deadly disasters. The company linked to the Baltimore Key Bridge collapse aims to use it to avoid paying damages and compensation.

I love this take on the Mobil Pegasus/Porsche Pink Pig design on the Tuthill 993 RSK.
#cars #porsche #humor

The BBC splits off its India operations to create a new independent media company, Collective Newsroom, following regulatory scrutiny over its Modi documentary (John Reed/Financial Times)
https://t.co/1OlyA0r8TZ

Transmission Channel Analysis in Dynamic Models
Enrico Wegner, Lenard Lieb, Stephan Smeekes, Ines Wilms
https://arxiv.org/abs/2405.18987 https://

Transmission Channel Analysis in Dynamic Models
We propose a framework for the analysis of transmission channels in a large class of dynamic models. To this end, we formulate our approach both using graph theory and potential outcomes, which we show to be equivalent. Our method, labelled Transmission Channel Analysis (TCA), allows for the decomposition of total effects captured by impulse response functions into the effects flowing along transmission channels, thereby providing a quantitative assessment of the strength of various transmissio…