Tootfinder

Random Feature Spiking Neural Networks
Maximilian Gollwitzer, Felix Dietrich
https://arxiv.org/abs/2510.01012 https://arxiv.org/pdf/2510.01012

Random Feature Spiking Neural Networks
Spiking Neural Networks (SNNs) as Machine Learning (ML) models have recently received a lot of attention as a potentially more energy-efficient alternative to conventional Artificial Neural Networks. The non-differentiability and sparsity of the spiking mechanism can make these models very difficult to train with algorithms based on propagating gradients through the spiking non-linearity. We address this problem by adapting the paradigm of Random Feature Methods (RFMs) from Artificial Neural Ne…

Adam Kinzinger: Karoline Leavitt was speaking in Christian nationalist code
https://www.dailykos.com/stories/2025/9/1/2341363/-Adam-Kinzinger-Karoline-Leavitt-was-speaking-in-Christian-nationalist-code

Nexperia's China unit says it has "sufficient inventories" to sustain order fulfillment "through year-end and beyond", after the parent suspended wafer supplies (Reuters)
https://www.reuters.com/world/china/nexper

🇺🇦 Auf radioeins läuft...
Sophia Kennedy:
🎵 Imaginary Friend (Radio Edit)
#NowPlaying #SophiaKennedy
https://sophiakennedy.bandcamp.com/track/imaginary-friend
https://open.spotify.com/track/7CbVZ2Yzl0TtcCERaJDZSR

Regierung: Apples Lieferkette in Indien schuf sechsstellige Anzahl Jobs
350.000 Menschen sollen auf dem Subkontinent mittlerweile für Apples Lieferanten arbeiten. Das wurde in fünf Jahren erreicht.
ht…

“The impact of the reforms — and 3rd Assault’s attitude toward the importance of training — is already being felt on the battlefield…”
https://newlinesmag.com/spotlight/inside-ukraines-plan-to-build-self-sufficient-defense-force/

Inside Ukraine’s Plan To Build a Self-Sufficient Defense Force
With Western security guarantees uncertain, Kyiv is turning to elite, battle-hardened units as the core of a remodeled military

Getting there with SpacemiT K1x image building in @… :
running 2 tests
test starfive::visionfive2_hdr::test_hdr ... ok
test spacemit::k1x_hdr::sign ... ok
test result: ok. 2 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
Alright, time for some fresh air!

Scaling Spoken Language Models with Syllabic Speech Tokenization
Nicholas Lee, Cheol Jun Cho, Alan W Black, Gopala K. Anumanchipalli
https://arxiv.org/abs/2509.26634 https://

Scaling Spoken Language Models with Syllabic Speech Tokenization
Spoken language models (SLMs) typically discretize speech into high-frame-rate tokens extracted from SSL speech models. As the most successful LMs are based on the Transformer architecture, processing these long token streams with self-attention is expensive, as attention scales quadratically with sequence length. A recent SSL work introduces acoustic tokenization of speech at the syllable level, which is more interpretable and potentially more scalable with significant compression in token len…

Spiking Decision Transformers: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence Control
Vishal Pandey, Debasmita Biswas
https://arxiv.org/abs/2508.21505

Spiking Decision Transformers: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence Control
Reinforcement learning agents based on Transformer architectures have achieved impressive performance on sequential decision-making tasks, but their reliance on dense matrix operations makes them ill-suited for energy-constrained, edge-oriented platforms. Spiking neural networks promise ultra-low-power, event-driven inference, yet no prior work has seamlessly merged spiking dynamics with return-conditioned sequence modeling. We present the Spiking Decision Transformer (SNN-DT), which embeds Lea…

Supreme Court to consider when lawyers can be barred from speaking to their client - SCOTUSblog
https://www.scotusblog.com/2025/10/supreme-court-to-consider-when-lawyers-can-be-barred-from-speaking-to-their-client/