Artificial Intelligence has come a long way from theoretical discussions and assessing the scope and consequences of it, to real-life applications. Today, applications of Artificial Intelligence can be witnessed across industries globally. Here is a glimpse of this notion as we list out some of these applications in different sectors.
Nvidia’s Autonomous Robocar Replaces The Combustion Engine For Good
This July, the first racing competition for self-driving cars -Roborace – took place at the Goodwood Festival of Speed. The race features the pairing of man and machine as they test their automated driving systems (ADS) and show off some of the autonomous industry’s latest tech. Nvidia was on the track in July 2019 with their autonomous concept race car – Robocar.Â
AI-Based FaceApp Takes The Internet by Storm as Users Rush to See Their Old-Age Looks
FaceApp, the AI-based photo editor has taken the internet by storm — all over again. The app, developed by Russian company Wireless Lab, is actually two years old but was recently updated with an improved old age filter. According to a Forbes report, the viral app already has access to more than 150 million names and faces.
Aetna Enlists AI to Settle Health Insurance Claims
Aetna has created artificial intelligence (AI) software to settle claims, a solution that could provide a blueprint for broader automation of complex processes at the health insurance giant. The software rapidly parses complex healthcare provider contracts, whose blend of information about medical conditions and financial data often tax the patience of the trained humans who process them.
Swiggy’s Tech Head on How The Food-Tech Startup is Using AI to Go Beyond Food Deliveries
The food-tech startup has unveiled a bold vision of transforming itself into an artificial intelligence-first product as it has started to leverage this tech to add more services that go beyond food delivery.
This Artificial Intelligence ‘Sees’ Cells From Within
Greg Johnson and his coworkers at Seattle’s Allen Institute have trained a deep learning system to label known cell parts, and then discover unknown components. the team believes the program can be used to build the most accurate models ever of cells’ inner workings.
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