A New Way To See Life’s Hidden Chemistry: $10 Spectrometer Could Turn Wearables Into Personal Health Labs

Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...
IEEE

Spatiotemporal Graph Convolutional Neural Network-Based Forecasting-Aided State Estimation Using Synchrophasors

Abstract: Power system state estimation is a primary and major method for monitoring power grids in real time. Massive synchrophasor data contains temporal correlations and spatial characteristics ...
IEEE

Sensing-Based Feature Engineering and Asynchronous OFDM Blind Modulation Classification Using SMOTE-DNN

Abstract: Blind modulation classification (BMC) is a key technology for communication perception intelligence, cognitive radio, and electronic countermeasures. With the wide applications of orthogonal ...
GitHub

Trainable Fractional Fourier Transform

A differentiable fractional Fourier transform (FRFT) implementation with layers that can be trained end-to-end with the rest of the network. This package provides implementations of both fast ...
C&EN

Imaging Individual Molecular-Like Orbitals of a Non-Planar Naphthalene Diimide on Pt(111): A Combined STM and DFT Study

Peter Grünberg Institut (PGI-1) and Institute of Advanced Simulations (IAS-1), Forschungszentrum Jülich GmbH and JARA, Jülich 52425, Germany ...
www.cs.cmu.edu

Tom Mitchell

At the same time, we need to think carefully about how to use them and how to prevent their misuse. I oppose recent suggestions that we simply ban their development, but I support and participate in ...