In recent times, we have seen an increasing number of instances of Artificial Intelligence (AI) donning the proverbial lab coat. In early 2019, thousands of people were screened every day in a hospital in Madurai by an AI system developed by Google that helps diagnose diabetic retinopathy, a condition that can lead to blindness. Startups like Niramai, based in Bengaluru are developing AI technology for early diagnosis of conditions like breast cancer and river blindness. The sudden, accelerated growth of Machine Learning not just in research but in all walks of life can bring to mind Black Mirror-esque visions of dystopia in which machines rule over humanity. But let us leave worrying about the consequences of the far future to science fiction and look at the immediate impact this technology has had in science.

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The Indian Space Research Organization (ISRO) has unveiled a legless robot called "Voymmitra" that it wants to send into space on an uncrewed mission later this year. The eerily humanoid robot can reportedly speak two languages, according to Business Insider. "Vyommitra will simulate human functions, will interact with the environmental control and life-support system," ISRO chairman K Sivan told the Times of India. "Our robot is like a human, and will be able to do what man can do, although not as extensively," Sivan added. First half humanoid that will be a part of @isro Gaganyaan unmanned mission. Humanoid will take off into space this December 2020 pic.twitter.com/BLHFNZNv3S

Uber's self-driving cars will soon be jockeying for space on the streets of Washington, DC, with the ride-hailing company announcing it will begin collecting data to support the development of its fleet of autonomous vehicles. The vehicles will not be operating in autonomous mode, though. They will instead be operated by human drivers to start out, collecting mapping data and capturing driving scenarios which Uber's engineers will then reproduce in simulation. That said, the company hopes to eventually allow its self-driving cars in Washington to, well, self-drive. "Our hope is that this first round of manually driven data collection will lay the foundation for testing our vehicles in self-driving mode in Washington, DC," the company's Advanced Technologies Group said in a Medium post.

These data, if harnessed appropriately, could enable health-care providers to target the causes of ill-health and monitor the effectiveness of preventions and interventions. For this reason, policy makers, politicians, clinical entrepreneurs, and computer and data scientists argue that a key part of health-care solutions will be artificial Intelligence (AI), particularly machine learning.

Toyota Finance New Zealand Limited (TFNZ), a regional subsidiary of Japan-based automotive finance company Toyota Financial Services Corporation, has selected Ephesoft, a content capture and data discovery solutions provider, to accelerate its automotive loan application and settlement processing. Stephen Blay, General Manager Operations, Toyota Finance New Zealand said, "For a financial organization like TFNZ, the digital transformation of loan processes is most importantly a customer service initiative." He further added, "Ephesoft will enable us to integrate an innovative, cloud-enabled solution that uses machine learning for enhanced document and data management, ultimately making it simpler for our staff to help customers secure financing for a new vehicle. This partnership will also enable our loan operations team to shift their focus on manual data handling to strategic customer support." The approach is expected to serve as a best practice for financial service providers globally.

One of the most powerful men in IT, Sundar Pichai, has backed regulations for artificial intelligence. While Pichai isn't the first big tech executive to say so publicly, his voice matters, given that Google is arguably the world's largest AI Company. Tesla and SpaceX chief Elon Musk has been vocal about the need for regulating AI several times in the past. Musk even said that "by the time we are reactive in AI regulation, it's too late". Microsoft president Brad Smith is another prominent person in tech who has called for regulation of AI.

Airbus will be showcasing their latest secure communications solutions at Intersec this year. Airbus's collaboration tool, Tactilon Agnet will be in the spotlight during the exhibition. The professional solution, which has both application and platform features is used for assisting, for instance, police officers or security personnel. The company will also be showcasing various projects around the use of Artificial Intelligence for mission-critical applications. The latter include facial, license plate, and object recognition, which run on the Tactilon Agnet mission-critical collaborative platform integrated with other systems through Application Programming Interface (APIs) such as Artificial Intelligence services. "Safety and Security is high on the agenda of the UAE Vision 2021, and there is a constant need for safety, security, and mission-critical solutions like the ones presented at this event," commented Andrew Forbes, Head of Middle East and North Africa region for Secure Land Communications at Airbus.

This week, a new AR-centric social networking app launched, which will let users pull up their friends' profiles by pointing their smartphone camera at them. Called Octi, the app will let people make a personal profile by choosing photos, favorite songs from Spotify, fun links from YouTube, and sticker-like custom messages. Instead, they'll hover around you as a halo of thumbnail-sized icons whenever someone with the app on their phone points their camera at you. Octi uses facial recognition software to identify whether someone you point your camera at has a profile, and will automatically pull it up as an AR overlay if you're already connected as friends. The app will also let you add new friends by pointing your camera at someone and then send them a friend request, so long as they have a profile with Octi.