For decades, deep focus was the premium skill. Agentic AI inverts this. The new scarcest resource isn't attention—it's judgment across contexts. Learn to orbit.

An international team of astronomers has discovered a distant planetary system that challenges long-standing theories of how ...

In nature, tiny crystals known as nanocrystals are formed slowly over many years. Rocks and minerals react with air, water, and carbon dioxide in a process called chemical weathering. These reactions ...

I found two interesting automotive SoCs in the Linux 6.19 changelog: Renesas R-Car X5H 16-/32-core Cortex-A720AE SoC and ...

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 ...

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 ...

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 ...

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 ...

ABSTRACT: With super high-rise buildings developing towards characteristics of low damping, light weight, and high flexibility, their wind-induced vibration and aeroelastic effects have become key ...

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 ...

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...