The revived #Pebble watch uses a USB-C charging dongle that is backwards compatible with the 11-year-old Pebble Time. Respect.
#Brain2Qwerty v2: a model to decode natural sentences from non-invasive magnetoencephalography (#MEG) recordings https://facebookresearch.github.io/brain2qwerty/ via @…
I finally remembered what third thing potus misheard/misunderstood. It was
1) thinking people in Wales not loving windmills means marine mammal whales don’t like windmills,
2) asylum seekers are people from insane asylums
3) and transgender people related to transistors on computer processors. He thinks the CHIPS Act requires transgender people run the companies (it doesn’t) because microchips have transistors on them.
25th sounds real good. So does impeachment, r…
Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms
Yi Ding, Jinjun Hu, Su Chen, Xianwei Liu, Zhongxiang Zhang, Zongchao Li, Xiaojun Li, Lili Xie
https://arxiv.org/abs/2606.31340 https://arxiv.org/pdf/2606.31340 https://arxiv.org/html/2606.31340
arXiv:2606.31340v1 Announce Type: new
Abstract: Performance-based seismic risk assessment requires three-component acceleration histories compatible with specified source, path, and site conditions. Conventional ground-motion prediction equations provide scalar intensity measures, while many generative waveform models learn amplitude and waveform shape within a single high-dimensional target. We present WaveFlowGMM, a two-stage probabilistic ground-motion model that uses peak ground acceleration (PGA) as an amplitude interface between scenario conditioning and waveform generation. The amplitude stage uses physics-informed symbolic learning to estimate component-wise PGA medians and a full cross-component covariance. The waveform stage uses few-step AlphaFlow in an invertible wavelet-packet coefficient space to generate normalised three-component histories that are rescaled by sampled PGA. Tests on an event-level NGA-West2 holdout set show that the generated motions recover the main magnitude, distance, and site scaling, keep peak and spectral residuals close to zero, preserve three-component amplitude dependence, and yield velocity and displacement histories without systematic drift after integration of the generated three-component acceleration histories. The framework provides an interpretable and computationally efficient candidate component for waveform-level seismic hazard and risk analysis.
toXiv_bot_toot
Nvidia says it made a "substantial" investment in Safe Superintelligence, which will get access to Nvidia GPUs to up computing power by an "order of magnitude" (Keach Hagey/Wall Street Journal)
https://www.wsj.com/tech/ai/nvidia-bets-on
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Learning Stiff Dynamical Operators: Scaling, Fast-Slow Excitation, and Eigen-Consistent Neural Mo...
Mauro Valorani
https://arxiv.org/abs/2601.01632 https://mastoxiv.page/@arXiv_physicscompph_bot/115847284915795620
- How Physical Dynamics Shape the Properties of Ising Machines: Evaluating Oscillators vs. Bistable...
Abir Hasan, Nikhil Shukla
https://arxiv.org/abs/2603.06843 https://mastoxiv.page/@arXiv_physicscompph_bot/116204003660873932
- Quantum metric-induced generalized magneto-optical effects in $\mathcal{PT}$-symmetric antiferrom...
Yongpan Li, Yichen Liu, Cheng-Cheng Liu
https://arxiv.org/abs/2503.04312 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/114120036631640231
- Filtered Quantum Phase Estimation
Gwonhak Lee, Minhyeok Kang, Jungsoo Hong, Stepan Fomichev, Joonsuk Huh
https://arxiv.org/abs/2510.04294 https://mastoxiv.page/@arXiv_quantph_bot/115332659452746830
- NAVIS: A LAMMPS-Python framework for efficient computation of nanochannel velocity and thermal in...
Sleeba Varghese, Sobin Alosious, Jesper Schmidt Hansen, Billy Dean Todd
https://arxiv.org/abs/2601.11391 https://mastoxiv.page/@arXiv_condmatsoft_bot/115920990500539102
- Fast proton transport and neutron production in proton therapy using Fourier neural operators
Blangiardi, Ratliff, Teichert, Ytre-Hauge, Langer, Meric
https://arxiv.org/abs/2603.03912 https://mastoxiv.page/@arXiv_physicsmedph_bot/116175752411043510
- Smoluchowski Coagulation Equation and the Evolution of Primordial Black Hole Clusters
Borui Zhang, Wei-Xiang Feng, Haipeng An
https://arxiv.org/abs/2604.01684 https://mastoxiv.page/@arXiv_astrophCO_bot/116339761602853235
- Identical Particle Systems : Hierarchical Spectral Reconstruction
Hovan Lee, R\'emi Lef\`evre, Gr\'egoire Ithier
https://arxiv.org/abs/2605.02864 https://mastoxiv.page/@arXiv_quantph_bot/116521159694499994
- A matrix free action of the Ashtekar-Lewandowski volume operator of loop quantum gravity
Waleed Sherif
https://arxiv.org/abs/2606.18397 https://mastoxiv.page/@arXiv_grqc_bot/116770027887442756
toXiv_bot_toot
OpenAI Codex steuert Mac auch in gesperrtem Zustand
Nach der Ankündigung einer Remote-Funktion über die ChatGPT-App legt OpenAI noch einmal nach: Codex soll den Mac via Computer Use im Locked-Modus kontrollieren.
https:…
Tipp: Gesperrte Apple Watch Ultra beim Tauchen nutzen
Im Taucheranzug lässt sich Apples Computeruhr mit Spezial-Apps verwenden. So geht SCUBA mit der Watch.
https://www.heise.de/ratgeb…
Perplexity Personal Computer für den Mac nun testbar
KI-Anbieter Perplexity hat seine Ankündigung wahr gemacht und erlaubt nun die Nutzung seiner Mac-Steuerung. Dabei gilt es, einiges zu beachten.
https://www.