Neural network speeds tuning of attosecond light pulses for physics experiments

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...
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Master neural networks from scratch with Python

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...
EurekAlert!

Generalized global neural network potential covering the periodic table

A universal potential for all-purpose atomic simulations has been pursued for decades, but remains challenging due to limitations in model expressiveness and dataset construction. Now, writing in the ...
AZoOptics

Skoltech Researchers Use a Neural Network to Speed Up the Tuning of Ultrashort Light Flashes for Experimental Physics

Researchers from Skoltech (part of the VEB.RF group) and the Shanghai Institute of Optics and Fine Mechanics have developed ...
Nanowerk

Neural network switching controller reduces tracking errors in nano-positioning

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
The Brown Daily Herald

Brown researchers model distinct animal gait patterns with singular neural network

In the past, when researchers modeled quadruped gaits — how four-legged organisms walk, run and move — gaits have been ...