Tootfinder

Iran's Fordo Site Said to Look Severely Damaged, Not Destroyed (New York Times)
https://www.nytimes.com/2025/06/22/world/middleeast/iran-fordo-nuclear-damaged-not-destroyed.html
http://www.memeorandum.com/250622/p69#a250622p69

Neural Polar Decoders for DNA Data Storage
Ziv Aharoni, Henry D. Pfister
https://arxiv.org/abs/2506.17076 https://arxiv.org/pdf/2506.…

Neural Polar Decoders for DNA Data Storage
Synchronization errors, such as insertions and deletions, present a fundamental challenge in DNA-based data storage systems, arising from both synthesis and sequencing noise. These channels are often modeled as insertion-deletion-substitution (IDS) channels, for which designing maximum-likelihood decoders is computationally expensive. In this work, we propose a data-driven approach based on neural polar decoders (NPDs) to design low-complexity decoders for channels with synchronization errors. …

Washington braces for an unpredictable response from a cornered but determined Islamic Republic.
While the Iranian government downplayed the impact of the U.S. attack, noting the depths of its nuclear know-how built over decades of study,
U.S. military officials said its precision strikes against Iran’s three main nuclear facilities caused “extremely severe damage and destruction.”
A senior Israeli official told The Times that Jerusalem was so satisfied with the operation th…

U.S. braces for response as Iran weighs its options
U.S. military officials said its precision strikes against Iran's three main nuclear facilities caused "extremely severe damage and destruction."

I saw this on TwiX and had to turn it into a meme.
h/t @never_oppressed
#Gaza #Iran #warCrimes

Readwise würfelte mir heute dieses Zitat in die Wiedervorlage und ich musste direkt nachsehen, wann der Artikel geschrieben wurde. 2014. Wer hätte gedacht, dass sich 6 Jahre später alles noch viel schlimmer entwickeln würde?
https://www.theawl.com/2014/10/shot-through-the-…

My removal from #nasa #nyc continued afoot.
I haven’t said much of it here — but my competitive grant proposals (nasa scientists get funded this way since full cost accounting hit in 2004) have been chosen, but not funded.
There is no grant money to distribute. Folks in the know have seen that - ROSES, the acronym for research opportunities in science, does not have a 2025 call and the 2024 chosen post January 2025 don’t have money getting distributed.
If I cannot get proposals funded I will be in the same situation as every other soft money researcher.
So the soft RIF is coming for me and 1000’s of others.

A lot to celebrate in the lab at the end of the school year — students at commencement, and a campus award for our paper presenting a reconstruction of Joshua tree flowering activity since the early 20th century
https://lab.jbyoder.org/2025/05/22/com

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder
Shoichi Koyama, Kenji Ishizuka
https://arxiv.org/abs/2506.16729 https://…

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder
A learning-based method for estimating the magnitude distribution of sound fields from spatially sparse measurements is proposed. Estimating the magnitude distribution of acoustic transfer function (ATF) is useful when phase measurements are unreliable or inaccessible and has a wide range of applications related to spatial audio. We propose a neural-network-based method for the ATF magnitude estimation. The key feature of our network architecture is the input and output layers conditioned on so…

Code Rate Optimization via Neural Polar Decoders
Ziv Aharoni, Bashar Huleihel, Henry D Pfister, Haim H Permuter
https://arxiv.org/abs/2506.15836 https://…

Code Rate Optimization via Neural Polar Decoders
This paper proposes a method to optimize communication code rates via the application of neural polar decoders (NPDs). Employing this approach enables simultaneous optimization of code rates over input distributions while providing a practical coding scheme within the framework of polar codes. The proposed approach is designed for scenarios where the channel model is unknown, treating the channel as a black box that produces output samples from input samples. We employ polar codes to achieve ou…