This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

A very minimal implementation of neural network on Matlab to fit mechanical properties of a multi-principal element alloy (or HEA for high entropy alloys). The example given fits the Vickers hardness ...

Metro Detroit's iconic 313 telephone area code will soon run out of possible phone numbers, and 679 will be a new local area code as soon as next month. This means when there are no more new phone ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...

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This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...

Researchers from the Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, and the University of Crete have created a new optical system that employs holograms to ...

This work is an important contribution to the development of a biologically plausible theory of statistical modeling of spiking activity. The authors convincingly implemented the statistical inference ...