Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

What Geminga's 100 TeV cutoff may mean for cosmic-ray acceleration in the Milky Way

For the first time, the Tibet ASγ Experiment has successfully measured magnetohydrodynamic (MHD) turbulence on scales below one parsec (approximately 3.3 light-years) within the gamma-ray halo ...

What's going on inside quantum computers? New method simplifies process tomography

Quantum computers work by applying quantum operations, such as quantum gates, to delicate quantum states. Ideally, quantum ...
Princeton University

How a band of engineers anticipated the cloud and remade the internet

Distributed systems of servers now power almost everything we do online, from file sharing to video streaming to shopping.
ABC7 San Francisco

SF changes method to count unhoused; advocate believes it's political, will lead to undercount

SAN FRANCISCO (KGO) -- For the first time in more than two decades, San Francisco is changing the way it counts the number of unhoused individuals on its streets. "This is a major change. We're going ...
Hackaday

Tamper Detection With Time-Domain Reflectometry

For certain high-security devices, such as card readers, ATMs, and hardware security modules, normal physical security isn’t enough – they need to wipe out their sensitive data if someone starts ...
Frontiers

Unraveling cardiac arrhythmia frequency: comparative analysis using time and frequency domain algorithms

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...
VentureBeat

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
IEEE

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
NPR

Scientific Method: The Science And Stories Of Time Travel

Have you ever fantasized about going back in time to relive a moment — or change it? Maybe you’re more interested in traveling to the future where cars fly and the code to immortality has been cracked ...
IEEE

A Hybrid Discrete Singular Convolution-FDFD Method for Large-Scale Electromagnetic Problems

Abstract: In this paper, a hybrid Discrete Singular Convolution - Finite Difference Frequency Domain (DSCFD) method with high-order accuracy is proposed. The proposed method discretizes the curl ...