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Now Mr. Liu is promoting UHV internationally through his Global Energy Interconnection initiative. Designated a “national strategy” and championed by Xi Jinping, China’s president, the initiative feeds into one of China’s most ambitious international plans — to create the world’s first global electricity grid.


China’s dream of building a global electricity grid may be coming true, the Financial Times reports.

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  • There has been a 14X increase in the number of active AI startups since 2000. Crunchbase, VentureSource, and Sand Hill Econometrics were also used for completing this analysis with AI startups in Crunchbase cross-referenced to venture-backed companies in the VentureSource database. Any venture-backed companies from the Crunchbase list that were identified in the VentureSource database were included.

  • The share of jobs requiring AI skills has grown 4.5X since 2013., The growth of the share of US jobs requiring AI skills on the Indeed.com platform was calculated by first identifying AI-related jobs using titles and keywords in descriptions. Job growth is a calculated as a multiple of the share of jobs on the Indeed platform that required AI skills in the U.S. starting in January 2013. The study also calculated the growth of the share of jobs requiring AI skills on the Indeed.com platform, by country. Despite the rapid growth of the Canada and UK. AI job markets, Indeed.com reports they are respectively still 5% and 27% of the absolute size of the US AI job market.

  • Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers.

  • Error rates for image labeling have fallen from 28.5% to below 2.5% since 2010. AI’s inflection point for Object Detection task of the Large Scale Visual Recognition Challenge (LSVRC) Competition occurred in 2014. On this specific test, AI is now more accurate than human These findings are from the competition data from the leaderboards for each LSVRC competition hosted on the ImageNet website.

  • Global revenues from AI for enterprise applications is projected to grow from $1.62B in 2018 to $31.2B in 2025 attaining a 52.59% CAGR in the forecast period. Image recognition and tagging, patient data processing, localization and mapping, predictive maintenance, use of algorithms and machine learning to predict and thwart security threats, intelligent recruitment, and HR systems are a few of the many enterprise application use cases predicted to fuel the projected rapid growth of AI in the enterprise. Source: Statista.

  • 84% of enterprises believe investing in AI will lead to greater competitive advantages. 75% believe that AI will open up new businesses while also providing competitors new ways to gain access to their markets. 63% believe the pressure to reduce costs will require the use of AI. Source: Statista.

  • 87% of current AI adopters said they were using or considering using AI for sales forecasting and for improving e-mail marketing. 61% of all respondents said that they currently used or were planning to use AI for sales forecasting. The following graphic compares adoption rates of current AI adopters versus all respondents. Source: Statista.

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The £13m RemoveDebris spacecraft was taken to the ISS in April and stored onboard ahead of Wednesday’s release.

The spacecraft was pushed out of an airlock where a robotic arm then picked it up gave it a gentle nudge down and away from the 400km-high lab.

In the process, RemoveDebris became the largest satellite to ever be deployed from the International Space Station. The time was about 12:35 BST.

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New research shows that the brain‘s neuroplasticity isn’t as flexible as previously thought.

One of the brain’s mysteries is how exactly it reorganizes new #information as you learn new tasks. The standard to date was to test how neurons learned new behavior one #neuron at a time.

Carnegie Mellon University and the University of Pittsburgh decided to try a different approach. They looked at the population of neurons to see how they worked together while #learning a new behavior. Studying the intracortical population activity in the primary motor cortex of rhesus macaques during short-term learning in a brain–computer interface (BCI) task, they were able to study the reorganization of population during learning.

Their new research indicates that when the brain learns a new activity that it is less flexible than previously thought. The researchers were able to draw strong hypothesis about neural reorganization during learning by using BCI. Through the use of BCI the mapping between #neural activity and learning is completely known

In this experimental paradigm, we’re able to track all of the neurons that can lead to behavioral improvements and look at how they all change simultaneously,” says Steve Chase, an associate professor of biomedical engineering at Carnegie Mellon and the Center for the Neural Basis of Cognition.

When we do that, what we see is a really constrained set of changes that happen, and it leads to this suboptimal improvement of performance. And so, that implies that there are limits that constrain how flexible your brain is, at least on these short time scales.”

It is often challenging to learn new tasks quickly that require a high level of proficiency. Neural plasticity is even more constrained than previously thought as results of this research indicate.

None of us predicted this outcome,” says Matthew Golub, a postdoctoral researcher in electrical and computer engineering at Carnegie Mellon. “Learning is far more limited on the scale of a few hours than any of us were expecting when we started this. We were all surprised that the brain wasn’t able to choose the best strategy possible.

The research was done in collaboration with the Center for Neural Basis of Cognition, a cross university research and educational program between Carnegie Mellon and the University of Pittsburgh that leverages each institution’s strengths to investigate the #cognitive and neural mechanisms that give rise to biological intelligence and behavior.

Nature Neuroscience (2018) Full Abstract Study

An international team of researchers has discovered evidence of 27 previously unknown viruses in bees. The finding could help scientists design strategies to prevent the spread of viral pathogens among these important pollinators.

“Populations of bees around the world are declining, and viruses are known to contribute to these declines,” said David Galbraith, research scientist at Bristol Myers Squibb and a recent Penn State graduate. “Despite the importance of bees as pollinators of flowering plants in agricultural and natural landscapes and the importance of viruses to bee health, our understanding of bee viruses is surprisingly limited.”

To investigate viruses in bees, the team collected samples of DNA and RNA, which is responsible for the synthesis of proteins, from 12 bee species in nine countries across the world. Next, they developed a novel high-throughput sequencing technique that efficiently detected both previously identified and 27 never-seen-before viruses belonging to at least six new families in a single experiment. The results appear in the June 11, 2018, issue of Scientific Reports.

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It would be silly to think we completely understand our universe, given how small the Earth is compared to the vastness of the cosmos. But from here on our tiny planet, it appears that much of the universe is missing. And I’m not just talking about dark matter. Regular stuff seems to be missing, too.

Astronomy fans probably know that as far as humans can tell, the universe is composed mostly of some mysterious, unexplained energy called dark energy that pushes it apart. The remaining piece, about a quarter, is dark matter, another unexplained thing that seems to build the universe’s skeleton. Just 4 percent is the regular matter that we can see: stars, planets, and interstellar and intergalactic gas. But the observed amount of this regular matter still falls perhaps a third short of the amount of stuff that physicists think should exist based on their models of the universe.

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Filipinos have achieved yet another milestone after contacting with the International Space Station, even interviewing an astronaut on board the habitable artificial satellite.


By Dhel Nazario

Filipinos have achieved yet another milestone after contacting with the International Space Station (ISS), even interviewing an astronaut on board the habitable artificial satellite.

A mix of Grade 11 and college students from the from the University of the Philippines Integrated School (UPIS) and electronics engineering students from the Holy Angel University (HAU) made the historical feat at the Department of Science and Technology –Advanced Science and Technology Institute (DOST-ASTI) last May.

An interaction between aggregate alpha synuclein and ATP synthase implicated in Parkinson’s Disease.


An open-access paper published in Nature Communications sheds light on how an accumulation of α-synuclein protein in brain cells contributes to causing Parkinson’s disease. In particular, the researchers discovered how clumps of the protein damage important proteins on mitochondrial surfaces, leading to impaired energy production, swelling and bursting of the mitochondria themselves, and, ultimately, cell death [1].

Study abstract

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From electric cars that travel hundreds of miles on a single charge to chainsaws as mighty as gas-powered versions, new products hit the market each year that take advantage of recent advances in battery technology.

But that growth has led to concerns that the world’s supply of , the metal at the heart of many of the new rechargeable batteries, may eventually be depleted.

Now researchers at the Georgia Institute of Technology have found new evidence suggesting that batteries based on and hold promise as a potential alternative to lithium-based batteries.

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