Today, several Artificial Intelligence in India-powered projects based on data science, ‘machine learning‘ or ‘big data’, are being used across a broad range of fields to predict, explain and manage the different scenarios caused by the corona virus pandemic.
As the COVID-19 corona virus outbreak continues to spread across the globe, companies and researchers are looking to use artificial intelligence as a way of addressing the challenges of the virus. AI has been so advanced that in this phase of pandemic, certain innovations, definitely can change the face for corona virus battle.
AI is being used to support and help those making decisions. “No decisions, at any step, are fully and exclusive delegated on the algorithm,” explains Nuria Oliver, data scientist, who holds a Ph.D. from the Media Lab at Massachusetts Institute of Technology (MIT) and is the Regional Government of Valencia’s commissioner on AI matters.
But many of us not aware exactly how this AI will be helpful in this health crisis. So instead of just nodding our heads to the tune of world, let us understand technically the details of AI.
What is AI?
AI means Artificial Intelligence. Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. AI is no single technology but it’s the collection of multiple technologies. It is also a field of study which tries to make computers “smart”. It requires human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. They work on their own without being encoded with commands. Visual perception, speech recognition, decision-making, and translation between languages. John McCarthy came up with the name “artificial intelligence” in 1955.
How AI Works?
AI is basically the results of our attempting to understand and emulate the way that the brain works and the application of this to giving brain-like functions to otherwise autonomous systems (e.g., drones, robots and agents).
AI works by combining large amounts of data with intelligent algorithms — series of instructions — that allow the software to learn from patterns and features of the data.
There are two types of main categories of intelligence.
- There’s narrow intelligence, which is achieving competence in a narrowly defined domain, such as analyzing images from X-rays and MRI scans in radiology.
- General intelligence, in contrast, is a more human-like ability to learn about anything and to talk about it.
- A machine might be good at some diagnoses in radiology, but if you ask it about baseball, it would be clueless.
To understand How Artificial Intelligence actually works, one needs to deep dive into the various sub domains of Artificial Intelligence and understand how those domains could be applied into the various fields of the industry.
- In simulating the way a brain works, AI utilizes a bunch of different sub fields.
- Machine learning automates analytical model building, to find hidden insights in data without being programmed to look for something in particular or draw a certain conclusion.
- Neural networks imitate the brain’s array of interconnected neurons, and relay information between various units to find connections and derive meaning from data.
- Deep learning utilizes really big neural networks and a lot of computing power to find complex patterns in data, for applications such as image and speech recognition.
- Cognitive computing is about creating a “natural, human-like interaction,” including using the ability to interpret speech and respond to it.
- Computer vision employs pattern recognition and deep learning to understand the content of pictures and videos, and to enable machines to use real-time images to make sense of what’s around them.
- Natural language processing involves analyzing and understanding human language and responding to it.
For this pandemic, Artificial Intelligence in India as well as around the globe is being used in majorly 3 fields:
- Research and Development of virus drugs and vaccines
- Management of services and resources at healthcare centers
- Analysis of data, managing the crisis etc
Here are some other ways Artificial Intelligence in India is helping to beat the outbreak of coronavirus:
- In India government has launched the Aarogya Setu App, which uses phone’s location data and Bluetooth to assess if you have been near a person infected by COVID19 by looking through a database of known cases. The app has a chat bot for users to determine if they have the disease’s symptoms. Alongside, it shares updates from the health ministry and helpline numbers for each state.
- On average, a COVID-19 patient has more than 2,000 CT images taken during hospitalization. Manually reading and comparing image data for each patient requires great effort. AI can assist through quantitative analysis, speeding up analytics, avoiding errors caused by fatigue, and adjusting treatment plans on time.
- Drones are being used dominantly to make things easier. Aerial surveillance helps track large gatherings, minimizing physical contact, and monitoring narrow by lanes where police vehicles cannot enter. They can also be used to spray disinfectants in public spaces and residential colonies.
- States Like Tamil Nadu are using Geo fencing technology, which creates a virtual geographic boundary, setting off alarms anytime a mobile device leaves a particular area.
- Analysis of data to support public policy decisions aimed at managing the crisis, such as the confinement measures.
- Robots aren’t susceptible to the virus, so they are being deployed to complete many tasks such as cleaning and sterilizing and delivering food and medicine to reduce the amount of human-to-human contact. The day-to-day chores in hospitals like cleaning floors are done by robot’s names “Nightingale 19”.
Seeing the pressure of the doctors and nurses around the world, the AI robot (artificial intelligence) systems that can learn so much that it will outperform the best doctors by combining all the available knowledge in all medical repositories.
However, most experts agree that AI will not replace trained medical staff, just make them more efficient in several areas