Linear thinking, based on the fundamental premise that there
are limited resources available, confines us to a world of incremental
innovation. The emergence of disruptive technologies is fast changing the tech
landscape – a 2013 report by McKinsey showed how twelve technologies — including
the mobile Internet, autonomous vehicles, and advanced genomics—have the
potential to truly reshape the world in which we live and work (https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/disruptive-technologies).
Convergence of such disruptive technologies allows us to conceive of exponential innovations that are not constrained by the availability of resources. Non-linear thinking, inspired by the belief that resource constraints can be overcome through technology innovations, allows us to create abundance in a resource-constrained world. Peter Diamandis and Steven Kotler, in their book Abundance, document how progress in artificial intelligence, robotics, infinite computing, ubiquitous broadband networks, digital manufacturing, nanomaterials, synthetic biology, and many other exponentially growing technologies will enable us to make greater gains in the next two decades than we have in the previous two hundred years. We will soon have the ability to meet and exceed the basic needs of every man, woman, and child on the planet. Abundance for all is within our grasp.
Convergence of such disruptive technologies allows us to conceive of exponential innovations that are not constrained by the availability of resources. Non-linear thinking, inspired by the belief that resource constraints can be overcome through technology innovations, allows us to create abundance in a resource-constrained world. Peter Diamandis and Steven Kotler, in their book Abundance, document how progress in artificial intelligence, robotics, infinite computing, ubiquitous broadband networks, digital manufacturing, nanomaterials, synthetic biology, and many other exponentially growing technologies will enable us to make greater gains in the next two decades than we have in the previous two hundred years. We will soon have the ability to meet and exceed the basic needs of every man, woman, and child on the planet. Abundance for all is within our grasp.
Let us take a quick look at how these disruptive technologies
are helping us to manage the COVID – 19 crisis.
IoT
IoT can be used to trace the origin of an outbreak. Overlaying
geographic information system (GIS) on IoT mobile data from infected patients
can (a) assist epidemiologists to search for patient zero and (b) help identify
all the persons who have come into contact with the infected patients and may,
therefore, also be infected. IoT can also be used to ensure patient compliance during
quarantine. The scalability of IoT also comes in handy for monitoring a large
number of patients who are high-risk enough to warrant quarantine but not
serious enough to warrant in-hospital care. With IoT, the patients can have
their temperatures taken and upload the data with their mobile devices to the cloud
for analysis. This way, healthcare workers can not only collect more data using
less time but also reduce the chance for cross-infection with the patients.
Data Analytics powered by AI and ML
Machine Learning (ML) is
helping us to handle the COVID – 19 crisis in many significant ways - Identify
who is most at risk, Diagnose patients, Develop drugs faster, Predict the
spread of the disease, Understand viruses better, Map where viruses come from and Predict the
next pandemic. Chatbots are used to help people self-identify their best course of
action, given their specific symptoms. ML can speed up drug development process
significantly without sacrificing quality control. When researchers were trying
to find small molecule inhibitors of the Ebola virus, they found that ML can
speed up the scoring process – a quick screening that assigns each molecule a
value based on how likely it is to help. This fast screening quickly identified
three potential molecules for testing. We can use also natural language
processing to read and interpret a large number of scientific articles and
build biomedical knowledge graphs, which are structured networks that
meaningfully connect different entities, such as drugs and proteins.
Robots, Drones & Autonomous Vehicles
Medtech companies are rolling out robots and drones to help
fight it and provide services and care to those quarantined or practicing
social distancing. This pandemic has fast-tracked the "testing" of
robots and drones in public as officials seek out the most expedient and safe
way to grapple with the outbreak and limit contamination and spread of the
virus.
Drones for Temperature Measurement
Drones for Delivery of Medicine
Drones for Spraying Disinfectants – Garauda Aerospace
– Chennai Startup
Nurse Robots – Fortis Hospital – Invento Bangalore
Startup – Mitra, Mitri Robots
Food delivery service Ele.me used
robots to deliver meals to quarantined individuals held in a hotel who were
suspected of having the virus. They also used Robots in their kitchen to cook
the food.
Due to the contagiousness of COVID-19, it’s safer
if human-to-human contact is minimized. Since robots are immune to infection,
tech companies such as JD.com and others have stepped up to the challenge to get more robots out
in force to deliver e.g. medical supplies within healthcare environments.
Robots are also proving to be valuable when delivering essential items to
people who shop and purchase online and are quarantined at home. Meituan Dianping, a delivery app,
ramped up their “contactless delivery” options through autonomous vehicles and
robots. Shenzhen-based startup Pudu Technology aimed to reduce cross-infection
by implementing home delivery of drugs and meals via robot.
https://asia.nikkei.com/Opinion/Coronavirus-lockdown-sparks-expansion-of-drones-and-robot-deliveries
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