"The big tech is banking heavily on AI, Cloud and 5G technologies to retain customers and drive growth" A global emergency can smother your business, government lawsuits can break your company, competitors with trillion-dollar market value can wipe your organisation off the map. But what would happen when all three come together in the same year? The pandemic brought the world to a standstill. The internet giants, however, came out of it unscathed. Apple, Amazon, Google and Facebook, popularly known as the big four, have not only survived a combination of calamities but registered profits and left the Wall Street analysts dumbfounded.
In a development expected to help diagnose Covid-19 in suspected patients faster, the Defence Research and Development Organisation (DRDO) and Centre for Artificial Intelligence and Robotics (CAIR) have created an artificial intelligence (AI) algorithm to help detect Covid-19 from chest X-rays. According to its developers, the tool named Atman AI used for Chest X-ray screening has shown an accuracy rate of 96.73 percent. Dr. U K Singh, Director, CAIR, DRDO said the development of the diagnostic tool was part of DRDO's effort to help clinicians and partners on the frontline to help rapidly diagnose and effectively treat COVID-19 patients. "Given the limited testing facilities for coronavirus, there is a rush to develop AI tools for quick analysis using X-rays. The tool will help in automatically detecting radiological findings indicative of Covid-19 in seconds, enabling physicians and radiologists to more effectively triage the cases, especially in an emergency environment," he explained.
The world's economy is at a tipping point as digital technologies continue to be embedded into both working and personal lives at an unprecedented rate. By 2023, digitally transformed enterprises will account for more than half of global Gross Domestic Product (GDP). Two overarching factors will drive this trend: the proliferation of digital devices and the rising prominence of the millennial and zoomer (Generation Z) user base. These digital-savvy generations account for 75% of the population in the Middle East today. By 2025, the number of connected devices globally is predicted to reach 100 billion, more than 12 times the number of people in this world.
The Defence Research and Development Organisation (DRDO) has developed an artificial intelligence algorithm that can detect the presence of the COVID-19 virus in chest X-rays. The AI tool, ATMAN AI, was developed by DRDO's Centre for Artificial Intelligence and Robotics (CAIR), with support from 5C Network & HCG Academics. Triaging using X-ray in COVID-19 diagnosis is a method for the rapid identification and assessment of the lungs, according to a statement issued by HCG Academics. The tool will be used by 5C Network, the country's largest digital network of radiologists, with the support of HCG Academics. Triaging potential patients using X-ray is fast, cost-effective, and efficient.
The company behind a robot fast food cook has a new mission: Help humans cook burgers that won't get customers sick. Miso Robotics, the firm behind Flippy, the robot-on-rails fry cook solution that's been garnering big backing and has debuted at restaurants including Pasadena's CaliBurger chain, has a new software-based offering for fast food restaurants that aren't ready to go full robot just yet. Packaged as a standalone software as a service (SaaS) offering, the company's new CookRight is billed as the world's first artificial intelligence (AI) powered cooking platform meant to keep human fry cooks from torching burgers--or worse, undercooking them, which can be a serious health hazard. That last is a particularly strong selling point in the wake of a global pandemic that's left consumers more conscious than ever of safe handling practices. According to the Centers for Disease Prevention and Control (CDC), every year, an estimated 1-in-6 Americans (or 48 million people) get sick, 128,000 are hospitalized, and 3,000 die of foodborne diseases.
As the coronavirus pandemic continues to rage, those fortunate enough to be fully vaccinated and live in countries with declining case counts are now beginning to imagine a future without COVID-19. Whether or not that future will include the disinfecting robots purchased by hotel chains, universities, and stadiums is anyone's guess. The machines, some of which cost north of $100,000 dollars a piece, initially appeared an ideal solution to a virus believed to be transmitted primarily by physical contact. Manufacturers of robotic devices that blast ultraviolet light, or disinfecting spray, touted their products as vital technological tools in the battle against COVID-19. And a justifiably concerned public was receptive to the pitch.
The world's first fully autonomous ship is set to make its maiden voyage across the Atlantic next month. Inspired by the ship that brought the Pilgrims to North America, 'Mayflower 400' will be guided by artificial intelligence rather than a human crew. If all goes well, it will depart from Plymouth, England on May 15 and arrive at Plymouth, Massachusetts, about 3,000 miles and two weeks later. The original Mayflower, which transported 102 Pilgrims and other passengers, took 10 weeks to reach its destination in 1620. Mayflower 400 was set to embark on its transatlantic cruise last September for the Mayflower's 400th anniversary, but was delayed because of the coronavirus pandemic.
The phrase'digital transformation' has been bouncing off the walls of boardrooms around the world for more than a decade. You might have expected Covid-19 to put the brakes on some of this activity, but it's been full steam ahead. In fact, Gartner reports that digital innovation and the application of emerging technologies has actually accelerated during the pandemic. Amit Gupta is Executive Vice President and Global Head – DRYiCETM Software, HCL Technologies. The phrase emerging technologies used to apply to AI, which was something of an optional add-on when the concept of digital transformation first hit the mainstream.
As the world grapples with the devastation of the coronavirus, one thing is clear: The United States simply wasn't prepared. Despite repeated warnings from infectious disease experts over the years, we lacked essential beds, equipment, and medication; public health advice was confusing; and our leadership offered no clear direction while sidelining credible health professionals and institutions. Infectious disease experts agree that it's only a matter of time before the next pandemic hits, and that one could be even more deadly. So how do we fix what COVID-19 has shown was broken? In this Mother Jones series, we're asking experts from a wide range of disciplines one question: What are the most important steps we can take to make sure we're better prepared next time around? On a hazy day in early March, a drone packaged in protective red casing and carrying precious cargo descended upon a crowd gathered in the Ashanti region of Ghana.
Two years ago I spoke at the Women of Silicon Roundabout Conference about machine learning (ML) startups and why they were a trend to watch. It occurred to me recently that I never got to share with the wider world the interesting cases we discussed, and, alas, I am not allowed to share the full recording of the talk. It also sounds like I've been remembered more for the yellow platforms I stomped around the stage with (evidence here), rather than the actual content. So I've decided to revisit the topic, re-examining some of the original cases alongside newer startups that have since come out of the woodwork. I also work at an ML startup, meaning that we sell predictions from ML models (specifically, predictions about which customers are committing fraud).