An article published in the journal “Nature” describes the application of neural networks to gravitational lensing. A team of researchers reduced from a few weeks to a few seconds the time needed to analyze complex space distortions in images captured thanks to gravitational lenses. This could greatly facilitate this type of task with great benefits for astronomical research.
Blogs about software
During this week a new launch of the augmented reality glasses originally called Google Glass. Announced for the first time in April 2012, after a test phase they seemed to be one of the biggest flops in the field of technology. The new version, however, is called the Glass Enterprise Edition, in fact it’s a business product that can be useful in environments where information is sought while your hands are busy without interrupting your work can be a big help.
The ASCO 2017, the annual Meeting of the American Society of Clinical Oncology (ASCO), new data were presented regarding the experimentation of Watson for Oncology, the version of IBM’s cognitive computing system trained to recognize the symptoms of various forms of cancer and suggest a therapy. Developed within the Watson Health business unit, it showed a level of agreement with human doctors that reached 96% in cases of lung cancer.
Google announced its own platform for the Internet of Things, called Android Things. In fact, it’s Brillo project, introduced in May 2015, in which the company included several new features requested by the developers who had the opportunity to test it. The presence of the Weave communication protocol is confirmed.
An article published in “The Astrophysical Journal Letters” describes the development and the application of machine learning algorithms to verify the stability of planetary systems. A team of researchers at the University of Toronto Scarborough led by Dan Tamayo experimented this new approach to this type of astronomical research by creating a method a thousand times faster than conventional ones.