In 1997, The Simpsons prophesized that for future wars, "most of the actual fighting will be done by small robots" with soldiers only responsible to "build and maintain those robots." Though the cartoon's track record with predictions is debatable, few will argue that robots have played a critical role in combat over the past decade. Whether it is a Predator drone patrolling a No-Fly zone or a Packbot diffusing a bomb, robots have made their presence known on the battlefield. The U.S. military and coalition forces use the base, located in an undisclosed location, to launch airstrikes against ISIL in Iraq and Syria, as well as to distribute cargo and transport troops supporting Operation Inherent Resolve. The Predators at the base are operated and maintained by the 46th Expeditionary Reconnaissance Squadron, currently attached to the 386th Air Expeditionary Wing.
PHOENIX – Banner Health is implementing applied artificial intelligence technology that will help doctors quickly treat patients suffering from a stroke. Arizona's largest hospital network has partnered with Viz.ai, which is an FDA-cleared computer-aided triage system that cuts down the time doctors use to look over imaging. "Every second someone is having a stroke, we estimate 32 thousand brain cells are dying," Dr. Jeremy Payne, Director of the Stroke Center at Banner University Medical Center Phoenix, told KTAR 92.3 FM Tuesday. It notifies doctors "where a stroke is happening, how much damage has been done and how much tissue is still salvageable before the patient has left the CT scanner," Payne said. Images and notifications are also sent directly to a doctor's phone, making it easier and faster for doctors to make lifesaving decisions.
As part of the Next Generation Internet Policy Summit, Amsterdam and Helsinki launched beta AI registries that show how the government in each locale uses algorithms to provide services. Currently, the Amsterdam registry includes a small number of algorithms, but it will be expanded after feedback is gathered at the summit, which was organised by the City of Amsterdam and the European Commission. The algorithms in the registry come with a description of how they are used, what humans do with the information they provide and how it they are analysed for possible risks and biases. Citizens of Amsterdam can offer feedback and contact information for the individual deploying each algorithm is available. Amsterdam is well on its way to becoming a global AI hub.
Researchers have demonstrated that an artificial intelligence (AI) algorithm could be trained to classify Covid-19 pneumonia in computed tomography (CT) scans with up to 90 per cent accuracy. Also, it correctly identifies positive cases 84 per cent of the time and negative cases 93 per cent of the time. The study, recently published in Nature Communications, shows the new technique can also overcome some of the challenges of current testing. "We demonstrated that a deep learning-based AI approach can serve as a standardized and objective tool to assist healthcare systems as well as patients," said study author Ulas Bagci from the University of Central Florida in the US. "It can be used as a complementary test tool in very specific limited populations, and it can be used rapidly and at large scale in the unfortunate event of a recurrent outbreak," Bagci added.
Insurance companies are continually subjected to questionable claims, whether that be actual fraud, waste, or just abuse. Insurance fraud in the U.S. alone represents a USD 32 billion in P&C and USD 84 billion in health care costs per year loss to insurance companies. Each carrier has tens and even hundreds of thousands of claims processed, yet the fraudulent claims are actually a small fraction of the total. This leads to highly unbalanced datasets with sparse data that makes fraud detection especially hard. Combine that with the fact that new schemes are constantly emerging for which there is no available ground truth until well after a scheme is successfully implemented. This leaves insurance companies at a disadvantage.
Europe's New Car Assessment Program (NCAP) has released its second series of assisted driving grades, and despite having the best technology, Tesla's Model 3 came away with a mediocre score. Driver engagement is a key factor and Tesla's Autopilot system "encourages the driver to relinquish too much control," according to the testers (via RoadShow). The results from the test don't show that Tesla's systems are bad, in fact far from it. Tesla had the top score in vehicle assistance, meaning its automatic braking, lane-keeping and other systems all work well together. It also beat all rivals in the "safety backup" section, as it can handle things like a system failure, unresponsive driver and collision avoidance with aplomb -- as we've seen before in viral Tesla videos.
Nights on the moon can last up to 350 hours. That creates some big technical challenges as NASA's Artemis program gears up to send people back to the moon. In addition to issues like extreme temperature changes, one of the biggest difficulties presented by lunar night is the loss of solar power. For long-term habitation to be viable, NASA needs to find a sustainable solution. To that, it's launching a $5 million prize in its Watts on the Moon Challenge, which is being launched in collaboration with crowdsourcing platform HeroX.
Artificial Intelligence is a rapidly growing technology that finds applications and uses cases in all aspects of industry and life as well: within smart factories that use AI technology to enhance their capabilities and in smart assistants found in smart phones. Similarly, the pharmaceutical industry is finding innovative and smart ways to use this modern technology to resolve some of the significant issues facing pharma sector today. Along with AI-powered analytics, big data has brought a radical shift in the paradigm of the pharma. Artificial intelligence has the potential to promote innovation, while at the same time increasing productivity and providing better results. In addition, Artificial Intelligence develops the value proposition of pharmaceutical companies by creating new and latest business models.
From his home base on the Hawaiian island of Kauai, Anton Andryeyev is running Twitter's efforts to chase Russian bots and other rogue actors off the platform. A year ago, he traded his office in the company's San Francisco headquarters for this tropical home office two thousand miles away, surrounded by standup paddle boards and a monitor large enough to see his entire 25-person engineering team all at once. Andryeyev's remote office represents a sweeping experiment in the future of work: allowing white-collar workers to work from anywhere, forever. Corporate America has long been defined by physical offices. But in a few short weeks, the pandemic upended that as thousands of companies mandated their employees work from home.