Microwave quantum network shows resilience against heat-related disturbances

Quantum communication systems are emerging solutions to transmit information between devices in a network leveraging quantum ...

Figuring out why AIs get flummoxed by some games

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in ...

Turns out your Pokémon Go data will be used to train robots

When Pokémon Go debuted in 2016, it became an overnight sensation. From London to New York, it felt as though everyone had ...

The science of how fireflies stay in sync

Yet swarms of fireflies clearly exercise a level of control over when they light up, and they do so only in specialized ...
Science Daily

Scientists just discovered a tiny signal that volcanoes send before they erupt

A new detection method called “Jerk” could dramatically improve how scientists forecast volcanic eruptions. By using a single ...
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 ...