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OpenAI Acquires Python Toolmaker Astral to Boost Codex AI Agent

OpenAI has acquired Astral, the company behind Python tools uv and Ruff, to integrate them into its Codex platform as it ...

A Hall 'rectenna' can detect signals over a 100 GHz frequency range

Many current wireless communication, imaging and sensing technologies rely on components that convert oscillating electric ...

Opening a new window into superconductivity by reimagining a classic tool

For more than a century, condensed matter physics has grappled with one of its greatest unsolved challenges: how to build ...
Microsoft

CTI-REALM: A new benchmark for end-to-end detection rule generation with AI agents

CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures ...
IEEE

MTSNet: Convolution-Based Transformer Network With Multi-Scale Temporal-Spectral Feature Fusion for SSVEP Signal Decoding

Abstract: Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although ...
The New York Times

Meta Unveils Wristband for Controlling Computers With Hand Gestures

When you write your name in the air, you can see the letters appear on your smartphone. By Cade Metz Reporting from San Francisco The prototype looks like a giant rectangular wristwatch. But it ...
Scientific Research Publishing

Wen, T. and Zhang, Z. (2018) Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. IEEE Access, 6, 25399-25410.

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...