Lynx Roundup, November 21st 2020

Lynx Roundup, November 21st 2020

Optimizing TensorFlow training time performance! Fusion by strong lasers! Temporal convolutional networks!

Matthew Alhonte
Matthew Alhonte
Why White-Collar Workers Spend All Day at the Office
Why Americans work more than anyone else.
Fusion by strong lasers
Nuclear physics usually involves high energies, as illustrated by experiments to master controlled nuclear fusion. One of the problems is how to overcome the strong electrical repulsion between atomic nuclei which requires high energies to make them fuse. But fusion could be initiated at lower energ…
Training behavior of deep neural network in frequency domain
Why deep neural networks (DNNs) capable of overfitting often generalize wellin practice is a mystery [#zhang2016understanding]. To find a potentialmechanism, we focus on the study of implicit biases underlying the trainingprocess of DNNs. In this work, for both real and synthetic datasets, weemp…
Microbial Academy of Sciences Turns Cyanobacteria Into Cosmonauts
Jonathon Keats’ inaugural Microbial Academy of Sciences opens Friday as part of the San Francisco Arts Commission Gallery’s Vast and Undetectable exhibit, which examines microscopic and macroscopic spheres in science and sci-fi that resist simple understanding.
Before COVID-19, Big Pharma Was Neglecting Vaccine and Antiviral Research
Coronavirus is an opportunity to rake in public funding and turn out massive profits with few financial risks.
TensorFlow 2.0 Tutorial: Optimizing Training Time Performance - KDnuggets
Tricks to improve TensorFlow training time with tf.data pipeline optimizations, mixed precision training and multi-GPU strategies.
colincsl/TemporalConvolutionalNetworks
Contribute to colincsl/TemporalConvolutionalNetworks development by creating an account on GitHub.
Roundup

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.