Deep-CEE: The AI deep learning tool helping astronomers explore deep space

Galaxy clusters are some of the most massive structures in the cosmos, but despite being millions of lightyears across, they can still be hard to spot. Researchers at Lancaster University have turned to artificial intelligence for assistance, developing "Deep-CEE" (Deep Learning for Galaxy Cluster Extraction and Evaluation), a novel deep learning technique to speed up the process of finding them. Matthew Chan, a Ph.D. student at Lancaster University, is presenting this work at the Royal Astronomical Society's National Astronomy meeting on 4 July at 3:45pm in the Machine Learning in Astrophysics session.

source https://www.lifetechnology.com/blogs/life-technology-news-blog/deep-cee-the-ai-deep-learning-tool-helping-astronomers-explore-deep-space

Collision course: Amateur astronomers play a part in efforts to keep space safe

Heavy traffic is commonplace on Earth but now congestion is becoming an increasing problem in space. With over 22,000 artificial satellites in orbit it is essential to keep track of their positions in order to avoid unexpected collisions. Amateur astronomers from the Basingstoke Astronomical Society have been helping the Ministry of Defence explore what is possible using high-end consumer equipment to track objects in space.

source https://www.lifetechnology.com/blogs/life-technology-news-blog/collision-course-amateur-astronomers-play-a-part-in-efforts-to-keep-space-safe

Substantial increase in body weight since 1960s due to interplay between genes and environment

People with a genetic predisposition to obesity are not only at greater risk of excess weight, their genes interact with an increasingly "obesogenic" environment, resulting in higher body mass index (BMI) in recent decades, finds a study from Norway published by The BMJ today.

source https://www.lifetechnology.com/blogs/life-technology-news-blog/substantial-increase-in-body-weight-since-1960s-due-to-interplay-between-genes-and-environment

What can Wikipedia tell us about human interaction?

EPFL researchers have studied the dynamics of network structures using one of the world's most-visited websites: Wikipedia. In addition to a better understanding of online networks, their work brings exciting insights into human social behavior and collective memory.

* This article was originally published here

Tesla's car deliveries rebound, but challenges still abound

Tesla delivered more electric cars in the second quarter than any three-month period in its history, alleviating concerns that demand is waning for its stylish vehicles as tax incentives in its main U.S. market begin to phase out.

* This article was originally published here

Robots to take 20 mn jobs, worsening inequality: study

Robots are expected to take over some 20 million manufacturing jobs worldwide by 2030, extending a trend of worsening social inequality while boosting overall economic output, a new study shows.

* This article was originally published here

Tiny motor can 'walk' to carry out tasks

Years ago, MIT Professor Neil Gershenfeld had an audacious thought. Struck by the fact that all the world's living things are built out of combinations of just 20 amino acids, he wondered: Might it be possible to create a kit of just 20 fundamental parts that could be used to assemble all of the different technological products in the world?

* This article was originally published here