WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."
However, he argues, these are not enough to counter accelerating technological changes allowing greater intrusions of privacy and he calls for a worldwide protest movement, similar to those on climate change. He added: "You have to be ready to stand for something if you want it to change. "That is what I hope this book (Permanent Record) will help people come to decide for themselves." The revelation coincides with the GSMA's announcement that the AI market is projected to reach $70 billion by 2020.
Technology tools such as artificial intelligence (AI), machine learning (ML) and cloud-based analytics platforms, along with aggregated "big data" organized into informational dashboards, may have cracked the code for improving worker productivity. Data about how employees work and behave can be analyzed, predicted and subsequently used to drive decisions to allocate resources, monitor performance and make the workplace better. These solutions have evolved to shape the way workers work. Vadim Tabakman is the "technical evangelist" at Nintex, a Bellevue, Wash., firm providing end-to-end process management and workflow automation. He said AI and ML are used in many ways to improve performance by learning employee work patterns and habits.
Telstra's independent venture capital arm has shown its intention to expand into the artificial intelligence data market following a $US100m (145m AUD) capital raising for San Francisco company Trifacta. Trifacta employs machine-learning technology to deduce a greater depth of insights from the increasing level of data migrating to cloud-based storage. Australia's largest venture capital fund, Telstra Ventures Fund No 2, led the investment, joined in the round by the likes of Energy Impact Partners, NTT Docomo, BMW Ventures and ABN AMRO. Telstra Venture joins a long and credible list of existing investors from Accel Partners, Greylock Partners, Ignition Partners and Google. "The share register for Trifacta is very impressive. It is great to have so many experienced and impressive co-investors in this deal. That is a really massive plus for us," Mr Koertge said.
Last week, researchers at the Allen Institute for Artificial Intelligence demonstrated in a new paper that an AI they'd designed could ace an eighth-grade multiple-choice science test with more than 90 percent correct answers -- and do quite well on a 12th-grade science test, too, with more than 80 percent correct answers. The system, called Aristo, took the New York Regents Science Exam (a standardized test for students across New York State), with a few limitations: it didn't have to solve the problems that involved looking at diagrams. Nonetheless, the researchers tested the program on different versions of the test as well as on tests from different years and found that its performance was pretty consistent: It's an A student. Aristo demonstrates how quickly AI is advancing. As recently as 2016, the paper's authors note, no one in the field could manage to score as well as 60 percent on a similar eighth-grade science exam.
Technology is becoming an increasingly important investment for the fast food chain, especially since it can help improve drive-thru times and labor costs, two areas the company has been working to improve. McDonald's previously said it was testing voice-activated drive-thrus and must have liked the results to pursue an acquisition. It is also testing automated deep-fryers that cut down on labor in the kitchen. With this latest acquisition, McDonald's is securing its place as a tech leader within the fast food space. It previously bought Dynamic Yield for $300 million earlier this year and has since deployed the company's decision technology at the drive-thru at 8,000 restaurants in the U.S. and plans to reach just about all drive-thrus in the U.S. and Australia by the end of the year.
ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 1 My Interest In Robotics And Nanotechnology, US Military UAVs/Drones And Robotic Vehicles, The Civilian Casualties Controversy, DARPA, The Darpa Urban Challenge, Roboticist William L. Whittaker, The Lunar X Prize Competition, The Positive And Negative Contributions Of Modern Technology, Wicked Heart Of Man, George W. Bush And Illegal Invasion Of Iraq, Destruction Wrought In Iraq, Americans And Body Bags, American Casualties From The Iraq War, DARPA's Aim: Protect People On The Battlefield, Remote Killing And Robots On The Battlefield Are The Wave Of The Future, Masters Of Science Fiction: Jerry Was A Man, Future Wars Fought with Automated Machines, Secret Robot Wars With No More Accountability To The Public, Callous American Public, America Was Founded On War, America Survives And Expands Her Empire Through War And Shrewd Economic Policies, Government Propaganda Machines And Malleable Gullible Public, Shock And Awe Wars, Are AI-Enabled Robot Wars In Our Future?, Current Advancements In Robotics, "Terminator" Movies And SkyNet, Will Artificial Intelligence Become A Threat?, Huge Investment in AI By The U.S. Military, The Joint Artificial Intelligence Center And Super Soldiers, Warnings From Stephen Hawking And Elon Musk, Go Down Fighting ROBOT WARS AND SKYNET: IS SCI-FI BECOMING OUR REALITY? – PART 2
The US labor market looks markedly different today than it did two decades ago. It has been reshaped by dramatic events like the Great Recession but also by a quieter ongoing evolution in the mix and location of jobs. In the decade ahead, the next wave of automation technologies may accelerate the pace of change. Millions of jobs could be phased out even as new ones are created. More broadly, the day-to-day nature of work could change for nearly everyone as intelligent machines become fixtures in the American workplace. Until recently, most research on the potential effects of automation, including our own, has focused on the national-level effects. Our previous work ran multiple scenarios regarding the pace and extent of adoption. In the midpoint case, our modeling shows some jobs being phased out but sufficient numbers being added at the same time to produce net positive job growth for the United States as a whole through 2030.
Central Learning, a web-based coding assessment and education application, released the results of the 4th annual nationwide ICD-10 coding contest. Central Learning is part of the Pena4, Inc. suite of health information and revenue cycle technology solutions for healthcare organizations. Manny Peña, RHIA, Founder and CEO of Pena4, Inc., announced today that Kristin Iovino from Lexington, Massachusetts, received $1,000 for achieving the highest average accuracy and productivity scores for outpatient cases. This year's contest focused on outpatient coding performance to address some of the challenges associated with the surge in outpatient reimbursement, coding errors and claim denials, with the goal of helping HIM, coding and revenue cycle teams pinpoint opportunities for improvement. Four years of coding contests have resulted in over 10,000 real medical record cases using Central Learning, a real-time, online coder assessment tool for HIM.
Digital agriculture increasingly relies on the generation of large quantity of images. These images are processed with machine learning techniques to speed up the identification of objects, their classification, visualization, and interpretation. However, images must comply with the FAIR principles to facilitate their access, reuse, and interoperability. As stated in recent paper authored by the Planteome team (Trigkakis et al, 2018), "Plant researchers could benefit greatly from a trained classification model that predicts image annotations with a high degree of accuracy." In this third Ontologies Community of Practice webinar, Justin Preece, Senior Faculty Research Assistant Oregon State University, presents the module developed by the Planteome project using the Bio-Image Semantic Query User Environment (BISQUE), an online image analysis and storage platform of Cyverse.