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Apr 5, 2020
Power grid stability likely to be affected during Sunday’s 9-minute blackout
Posted by Quinn Sena in category: energy
Mumbai: Prime Minister Narendra Modi’s call for a nine-minute blackout at 9 pm on April 5 has raised concerns for power grid managers as they are gearing up for ensuring grid stability during the period.
State-run Power System Operation Corporation (POSOCO), which is responsible for integrated operation of the grid, is working towards ensuring there is no pressure on the grid due to the possible grid collapse and resultant blackout throughout the country.
The Central Electricity Regulatory Authority (CERA) necessitates permissible range of the frequency band of 49.95−50.05 Hz for normal running of grid and if there is any discrepancy in the same with sudden increase or decrease in power flow, it might result into grid collapse.
Apr 5, 2020
Coronavirus: tensions rise over scientists at heart of lockdown policy
Posted by Genevieve Klien in categories: biotech/medical, finance, government, mathematics, policy
The Royal Society is to create a network of disease modelling groups amid academic concern about the nation’s reliance on a single group of epidemiologists at Imperial College London whose predictions have dominated government policy, including the current lockdown.
It is to bring in modelling experts from fields as diverse as banking, astrophysics and the Met Office to build new mathematical representations of how the coronavirus epidemic is likely to spread across the UK — and how the lockdown can be ended.
The first public signs of academic tensions over Imperial’s domination of the debate came when Sunetra Gupta, professor of theoretical epidemiology at Oxford University, published a paper suggesting that some of Imperial’s key assumptions could be wrong.
Apr 5, 2020
Self-supervised learning is the future of AI
Posted by Genevieve Klien in categories: futurism, robotics/AI
Despite the huge contributions of deep learning to the field of artificial intelligence, there’s something very wrong with it: It requires huge amounts of data. This is one thing that both the pioneers and critics of deep learning agree on. In fact, deep learning didn’t emerge as the leading AI technique until a few years ago because of the limited availability of useful data and the shortage of computing power to process that data.
Reducing the data-dependency of deep learning is currently among the top priorities of AI researchers.
Continue reading “Self-supervised learning is the future of AI” »
Apr 5, 2020
Using AI To Help Governments Make Data-driven Decisions During Pandemics
Posted by Kelvin Dafiaghor in categories: biotech/medical, robotics/AI
A migrant worker in India dies after walking 200 km on the way back to his home [1].
Rural itinerant workers in China are being blocked from cities, kicked out of apartments and rejected by companies [2].
“Poverty will kill us before the virus” — Rajneesh, a migrant worker, walking 247Km on foot to his home [3].
Apr 5, 2020
How to refuel a nuclear power plant during a pandemic
Posted by Quinn Sena in category: nuclear energy
Apr 5, 2020
Coronavirus might spread much farther than 6 feet in the air. CDC says wear a mask in public
Posted by Genevieve Klien in category: biotech/medical
Apr 5, 2020
Johns Hopkins biologist and computer scientist James Taylor dies at 40
Posted by Genevieve Klien in category: computing
He is remembered for his ‘transformational’ and ‘immeasurable’ contributions to scientific research.
Apr 5, 2020
Pinoy Scientists on Facebook Watch
Posted by Florence Pauline Gardose Basubas in category: biotech/medical
I made a video on the possible treatments for COVID-19 and how it targets different components of SARS-CoV-2, the virus that causes it 😃
You can watch it here: https://youtu.be/DaXG3Qd8soo And let me know if you have questionsor suggestions 😃.
Apr 5, 2020
New laser technique will allow more powerful—and smaller—particle accelerators
Posted by Quinn Sena in category: particle physics
Accelerating electrons to such high energies in a laboratory setting, however, is challenging: typically, the more energetic the electrons, the bigger the particle accelerator. For instance, to discover the Higgs boson—the recently observed “God particle,” responsible for mass in the universe—scientists at the CERN laboratory in Switzerland used a particle accelerator nearly 17 miles long.
But what if there was a way to scale down particle accelerators, producing high-energy electrons in a fraction of the distance?
