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

A bite acquisition framework for robot-assisted feeding systems

According to a survey released by the U.S. Census Bureau, around 12.3 million Americans require assistance with activities of daily living (ADLs) or instrumental activities of daily living (IADLs), one of which is feeding. Robots could be of great help to people affected by severe disabilities, allowing them to eat meals and complete other daily tasks without reliance on constant assistance from other human beings.

* This article was originally published here

Artificial intelligence controls robotic arm to pack boxes and cut costs

Rutgers computer scientists used artificial intelligence to control a robotic arm that provides a more efficient way to pack boxes, saving businesses time and money.

* This article was originally published here

Why do mosquitoes choose us? Lindy McBride is on the case

Carolyn "Lindy" McBride is studying a question that haunts every summer gathering: How and why are mosquitoes attracted to humans?

* This article was originally published here

Which climates are best for passive cooling technologies?

A group of University of California, San Diego researchers set out to gain a better understanding of the thermal balance of power plants and surfaces, like heliostat mirrors or solar panels, when exposed to both solar (shortwave) and atmospheric (longwave) radiation. They quickly realized that they would first need to determine what roles cloud cover and relative humidity play in the transparency of the atmosphere to radiation at temperatures common on Earth.

* This article was originally published here

Data scientist drops Facebook defamation suit

Aleksandr Kogan, the data scientist at the center of Facebook's Cambridge Analytica privacy scandal, said he is dropping a defamation lawsuit against the social network rather than engage in an expensive, drawn-out legal battle.

* This article was originally published here