During Intel’s keynote at the 2020 Consumer Electroncics Show, the chip giant gave an update on its various AI and machine learning ventures.
China has connected the world’s first portable ground station for quantum communication to the Mozi satellite, and has plans to launch another quantum satellite soon.
A multibillion-dollar high-speed atom smasher — an electron-ion collider that is capable of dissecting the mysterious subatomic material that forms the basis of everything in the universe — will be built at Brookhaven National Laboratory in Upton, federal authorities announced Thursday.
The collider will be the first of its kind in the United States. Gov. Andrew M. Cuomo said it would create about 4,000 construction jobs, retain 1,000 existing jobs at the lab and generate billions of dollars in economic activity for Long Island.
Officials with the U.S. Department of Energy said construction of the federally funded collider — which would be 2.4 miles in circumference, or 60% larger than the 1.5-mile Belmont Park horse race track, and one story underground — would cost $1.6 billion to $2.6 billion and take about a decade.
What the reasons underlying these impairments are is yet unclear but scientists at the Center for Regenerative Therapies of TU Dresden (CRTD) wanted to investigate if increasing the number of stem cells in the brain would help in recovering cognitive functions, such as learning and memory, that are lost during ageing.”
https://tu-dresden.de/tu-dresden/newsportal/news/verjuengung…en-maeusen
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Satellites have been flying around the earth for decades — scanning landscapes and capturing images of our fast-changing planet. Remote sensing has been around since even before the first flight of the Wright brothers. It was restricted to hot air balloon flights back then. Systematic aerial photography and satellite remote sensing reached an inflection point during the Cold War, when the need for surveillance led to modification of combat aircraft for the purpose of spying. The space race also gave a fillip to satellite launches. The first satellite photographs of the earth were taken on August 14, 1959 and satellite image processing techniques evolved in 1960s and 1970s.
Till late 1990s, the primary consumer of remote sensing data was either governments bodies or defence agencies. This was because of the strategically sensitive nature of technology, which gave birth to the fear that it can be used for spying. However, after the fall of the Soviet Union commercial satellite imagery market began to evolve and IKONOS became the first commercial, very-high resolution satellite to be launched in 1999. Another factor in play was the growing use of computer software for analysis of data and satellite data consumption benefited from this growth in the 1990s.
The 21st century saw rapid changes in the remote sensing industry. Data consumption continued to increase. This was accelerated by the fall in costs of satellite imagery. Moreover, open data sources emerged with Landsat data becoming publicly available in 2009. Copernicus Hub followed in 2014 when the European Space Agency launched Sentinel 1. Another inflection point occurred in the industry when Planet launched a constellation of 88 Dove satellites abroad the PSLV-C37 of ISRO. These are shoe-box sized satellites leveraging the power of off-the-shelf consumer electronics to reduce costs. Further innovation in satellite launching by a slew of startups led by SpaceX has reduced costs of launching satellites.
Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which is involved in many functions essential to human life.
Now, Purdue University researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body – paving the way to producing accurate structure models of protein interactions involved in various diseases and to design better drugs that specifically target protein interactions. The work is released online in Bioinformatics.
“To understand molecular mechanisms of functions of protein complexes, biologists have been using experimental methods such as X-rays and microscopes, but they are time- and resource-intensive efforts,” said Daisuke Kihara, a professor of biological sciences and computer science in Purdue’s College of Science, who leads the research team. “Bioinformatics researchers in our lab and other institutions have been developing computational methods for modeling protein complexes. One big challenge is that a computational method usually generates thousands of models, and choosing the correct one or ranking the models can be difficult.”
Guardian of the Amazon! — Come hear the recent ideaXme (http://radioideaxme.com/) episode where we are joined by Ms. Nemonte Nenquimo, President of the Waorani Pastaza Organization, CONCONAWEP (Coordinating Council of the Waorani Nationality of Ecuador), following their recent landmark legal victory against the Ecuadorian government, leading to 500,000 acres of Amazon rainforest protected from oil drilling and timber companies (English voice over — Spanish audio link to be posted soon) — #Ideaxme #Amazon #Rainforest #Jungle #Ecuador #Waorani #Huaorani #Amerindian #Environment #Trees #Herbal #EthnoMedicine #Sustainability #Ayahuasca #ClimateChange #GretaThunberg #Health #Wellness #Longevity #Aging #IraPastor #Bioquark #Regenerage
Ira Pastor, ideaXme exponential health ambassador, interviews Ms. Nemonte Nenquimo, President of the Waorani Pastaza Organization (CONCONAWEP — Coordinating Council of the Waorani Nationality of Ecuador). This is an English language voice over of Ms Nenquimo’s audio interview.
For the moment, massive job losses from automation and artificial intelligence are a largely theoretical worry. But tax economists and lawyers are thinking through the economic circumstances in which robot taxes might make sense and the tricky legal decisions and definitions needed to implement them.
A debate is heating up over whether businesses should pay up when they replace human workers with machines.
