Are black holes made of dark energy?

2019-09-10 University of Hawaii at Manoa

In 1998, two independent teams of astronomers discovered that the expansion of the Universe is accelerating, consistent with the presence of a uniform contribution of Dark Energy. It was not recognized, however, that GEODEs [Generic Objects of Dark Energy] could contribute in this way. With the corrected formalism, Croker and Weiner showed that if a fraction of the oldest stars collapsed into GEODEs, instead of black holes, their averaged contribution today would naturally produce the required uniform Dark Energy.

https://phys.org/news/2019-09-black-holes-dark-energy.html

Day Trading for a Living?

2019-08-22 Fernando Chague, Rodrigo De-Losso, Bruno Giovannetti

“We show that it is virtually impossible for an individual to day trade for a living, contrary to what course providers claim. We observe all individuals who began to day trade between 2013 and 2015 in the Brazilian equity futures market, the third in terms of volume in the world, and persisted for at least 300 days: 97% of them lost money, only 0.4% earned more than a bank teller (US$54 per day), and the top individual earned only US$310 per day with great risk (a standard deviation of US$2,560). Additionally, we find no evidence of learning by day trading.”

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3423101


This looks like a power law distribution or the 80/20 rule: a few people make most of the profit. It’s like writing an ebook or running a YouTube channel.

Exploring Weight Agnostic Neural Networks

2019-08-27 

When training a neural network to accomplish a given task, be it image classification or reinforcement learning, one typically refines a set of weights associated with each connection within the network. Another approach to creating successful neural networks that has shown substantial progress is neural architecture search, which constructs neural network architectures out of hand-engineered components such as convolutional network components or transformer blocks. It has been shown that neural network architectures built with these components, such as deep convolutional networks, have strong inductive biases for image processing tasks, and can even perform them when their weights are randomly initialized.

https://ai.googleblog.com/2019/08/exploring-weight-agnostic-neural.html

 

Chemists discover water microdroplets spontaneously produce hydrogen peroxide

2019-08-26 by Stanford University

Water is everywhere on Earth, but maybe that just gives it more space to hide its secrets. Its latest surprise, Stanford researchers report Aug. 26 in Proceedings of the National Academy of Sciences, is that microscopic droplets of water spontaneously produce hydrogen peroxide.

https://phys.org/news/2019-08-chemists-microdroplets-spontaneously-hydrogen-peroxide.html