AI and Machine Learning’s Role in Fighting Coronavirus
A Toronto based AI-startup detected the outbreak of coronavirus, a large family of viruses which infect the respiratory tract of human beings and animals, hours after the first few cases were diagnosed in Wuhan in December 2019.
More than 32,21,000 people the world over have been infected by the novel coronavirus since then and more than 2,28,000 people have died globally. The key to the company’s ability to detect and warn of a possible outbreak of an epidemic is AI and big data.
NLP and Machine Learning
The company uses natural language processing or NLP and machine learning to, says a report, “cull data from hundreds of thousands of sources, including statements from official public health organizations, digital media, global airline ticketing data, livestock health reports and population demographics. It’s able to rapidly process tons of information every 15 minutes, 24 hours a day.”
This information becomes the basis of reports compiled by computer programmers and physicians. Also, they do not just detect the outbreak of a disease but also track its spread and the consequences.
In the case of COVID-19, the company besides sending out an alert, correctly identified the cities that were highly connected to Wuhan using data on global airline ticketing “to help anticipate where the infected might be travelling.”
GDP
“Already, the COVID-19 coronavirus is likely to cut global GDP growth by $1.1 trillion this year, in addition to having already wiped around $5 trillion off the value of global stock markets,” a report says.
The vast amount of X-rays and scans people across the world are undergoing in this outbreak of coronavirus has strained medical resources and systems across the world. That is why AI and machine learning models are being trained to read accurately vast amounts of data tirelessly, and efficiently.
Thermal Scanners
China has already deployed AI-powered thermal scanners at railway stations in major cities to read and record, from a distance through infrared, body temperatures of persons passing by to detect a fever. This technology has to a large extant reduced stress on institutions across the country.
Robots
Also, AI and big data are helping revolutionize the medical management system in China. With the outbreak of the pandemic, China hospitals are using robots to reduce the stresses piled on medical staff. Ambulances in the city of Hangzhou are assisted by AI in navigation to help them reach patients and people suspecting an infection faster.
“Robots have even been dispatched to a public plaza in Guangzhou in order to warn passersby who aren’t wearing face-masks…China is also allegedly using drones to ensure residents are staying at home and reducing the risk of the coronavirus spreading further.”
In India, though the virus has been detected in some states, it has not spread as alarmingly as it has in other countries. It is now more than ever important to concentrate on building more robust and competent Artificial Intelligence courses in Delhi and Machine Learning courses in India.
Delving Deep in the Artificial Neural Network: The Progress
Along with the cutting edge technologies of Artificial Intelligence, Machine Learning Using Python and Deep Learning for computer vision with Python, Artificial Neural Network technology are catching up fast to be the next biggie in the domain of technology.
This new technology has already started influencing Machine Learning and computer vision prominently. In addition, numerous other fields are also likely to be benefitted shortly, according to the researchers.
Now, it is not far that we will be making pin-pointed weather reports, studying the climate inside out, the likes of it were seen never before. Even the animals would not remain alien to us anymore. Besides, countless other secrets of cosmology would be unveiled effortlessly with the improving technology of Artificial Neural Network (ANN)
An Introduction to the Artificial Neural Network
Artificial Neural Network is the innovative approach of modelling the AIs on the human brains to infuse in them the ability to learn through experiences. ANNs have been largely used to study the assimilated data and analyze it thoroughly to reveal significant patterns, relationships and associations. But, in recent years, the ANNs have shown potential for much more.
Looking at the Future of Artificial Neural Network
With the extensive R & D in favour of Artificial Neural Network, some other services which will be greatly improved in the upcoming years are:
Meteorology
We have come a long way from merely predicting the natural phenomenon like hailstorms. With the Convolutional Neural Networks (CNNs), the hailstorms can be accurately mapped. Besides, even the size of the hails can be asserted with the help of this all-new technology.
Migration of the birds
The field of Ornithology would also be enjoying a boost with the CNNs. The Neural Network Machine Learning Python is all set to track the changing routes of the migratory birds effortlessly.
Apart from all these, with the improving technology of the Artificial Neural Networks, several other lesser-known secrets of the universe like the dark matter would also be grasped with ease in the coming age. So, reach for the Neural Networks Training in Delhi now, if you are interested in this expanding technology.
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How Automation Can Turn Into a Blessing In Disguise for Humans?
Are you too scared to even think that machines will fly away with your job?
Do you support that the rise of AI will make humans obsolete?
Nowadays, AI can perform a large number of tasks, right from managing insurance claims to handling investment portfolios to solving HR related stuffs. Amidst all, do humans stand a chance to fight against the Automation Apocalypse? If yes, then how?
As per 2016 reports, McKinsey analyzed 830 occupations and concluded that only 5% of them could be automated. Amazon also showed somewhat similar picture. Within 3 years, the number of robots operated by the company got increased from 1400 to 45000, which is quite a number, but the number of employees hired remained unchanged.
While Automation Apocalypse is raging a war in the tech world, majority of techies don’t feel the urgency of being scared for jobs. They don’t have any problem in learning new stuffs, which would eventually make them more tech-savvy.
AI will eventually make workforce of any organization more powerful. Machines make their jobs easier and that definitely work in favor of the company in question.
When computers were invented, did it eat away your jobs? No, so this time too, nothing like that is going to happen. Even, numerous surveys speak in favor of automation.
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