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Implantable AI signal processing optimizes adaptive deep brain stimulation therapy

A DGIST-led team presents NONOS, an AI-based method that cleanly separates rhythmic brain signals from background components to detect rapid changes, improving accuracy in Parkinson's-related predictions and showing potential for real-time, implantable deep brain stimulation; results published in NeuroImage and supported by Korean science programs.

nvidia/Real-time_RE-USE · Hugging Face

Real-time RE-USE is a single-model framework for multilingual speech enhancement with configurable latency and broad input support, balancing quality and latency across degradations. It offers offline and streaming inference, a Gradio demo, and is released under NVIDIA's noncommercial license for research use globally.

[2605.18736] Spectral Progressive Diffusion for Efficient Image and Video Generation

Spectral Progressive Diffusion enhances diffusion-based image and video generation by progressively increasing resolution during denoising, guided by frequency-domain insights and the model's power spectrum. It introduces a spectral noise expansion, an optimal resolution schedule, a training-free acceleration path, and a fine-tuning recipe that boost speed while maintaining quality.

GitHub - JWzrdstff/Room-Chords · GitHub

The document describes a workflow to analyze ambient audio, extract average resonant frequencies per four frequency bands, map them to MIDI notes, and play them back via a connected MIDI device using a Python script with librosa, numpy, scipy, and mido.

Volume control and sound quality improvement per application, free - Techwok

Translated title. Original: Hangerő-szabályozás és hangminőség-javítás alkalmazásonként, ingyen - Techwok

The document describes a free macOS solution, FineTune, for per-application volume control, routing, and sound quality improvements, with an overview of its features, origin, and installation notes. It notes macOS lacks per-application volume control, introduces FineTune as a superior native option, and highlights EQ, AutoEQ, presets, routing, and loudness compensation, plus installation and licensing details.

web/ · Zyphra/ZONOS3-Mini at main

The document provides Python code for generating speech with Zyphra/ZONOS3-Mini. It shows how to create a speaker embedding from a reference clip, generate audio from text, and save it as a WAV file.

Preskill, Kubica & Hebrew University Explore Quantum Error Recovery

A reported advance in quantum error correction shows fault-tolerant computation using fixed-depth processing with geometrically simple 4D Toric codes and a sweep-rule local correction method, avoiding complex decoders and code expansion. While promising, the approach may not guarantee constant total-depth overhead or full scalability yet.

A Quantum Protocol Estimates Signal Properties From A Single Dataset

A Harvard-MIT team introduces Quantum Signal Learning, a protocol that estimates multiple properties of classical signals with sub-vacuum noise using two-mode squeezing and Bell-basis measurements, achieving a quantum speedup over entanglement-free methods and enabling efficient data use for machine learning and real-time control.

GitHub - Ten788/SignalDNA · GitHub

SignalDNA documents reproducible neural-network experiments for signal classification, from a NumPy prototype to PyTorch CUDA training, with a synthetic transient-detection dataset and held-out evaluation showing moderate accuracy and ROC-AUC metrics. It outlines setup, testing, reproducibility guides, and future work, noting the project is not yet publicly released under Apache 2.0.

Crosstalk — d/rksci

The document describes experiments where delay lines and reservoir-inspired structures are used to perform computation, treating crosstalk and tap weights as parts of a neural-network-like system. It compares raw waveform readouts with a 512-state feature readout, showing the reservoir approach achieves higher accuracy on temporal XOR tasks, with careful validation against circuit-simulation benchmarks.