Goto

Collaborating Authors

 Government


Underwater drones use sound to send snaps of the ocean floor

New Scientist

DRONES are sending back snaps from the deep. Uncrewed vehicles that scour the ocean floor for submerged mines can now beam back images to human operators in close to real time. The technology, developed by Canada's Department of National Defence, could also be used to autonomously map the locations of starfish colonies, for example, or study deep-sea hydrothermal vents. The torpedo-shaped drones constantly scan the ocean floor using sonar, reaching speeds of around 2 metres per second. They use image recognition to search for shapes that look like a submerged mine.


New tool will tell you if a robot will take your job

Daily Mail - Science & tech

Researchers have warned that millions of human workers will be replaced by robots over the next few decades, leaving many to wonder what sectors are most at risk. Now, a website powered by machine learning has gathered data from an Oxford University report to uncover which positions are likely to be replaced by machines. Called'Will Robots Take My Job', the tool lets users type in their occupation and provides them with a replacement estimate and automation risk โ€“ it also reveals if'you are doomed' or are'totally safe'. A website powered by machine learning has gathered data from an Oxford University report to uncover which positions are likely to be replaced by machines. Called ' Will Robots Take My Job ', the tool lets users type in their occupation and provides an estimate and automation risk'Will Robots Take My Job' is a machine learning tool that gathers data from a 2013 Oxford University reported entitled, 'The Future of Employment: How susceptible are jobs to computerization'.


Leaked Birth Control Rule Would Broaden Religious Exemption

U.S. News

But the mandate has drawn strong and sustained opposition from social conservatives, who see it as an infringement on freedom of conscience. The Obama administration exempted houses of worship, and set up a workaround for religiously affiliated nonprofits, such as hospitals, universities and social service organizations. The Supreme Court later ruled that closely held private companies were also eligible for the workaround, through which the government arranges contraceptive coverage for the affected women employees.


What do George Orwell and Winston Churchill have in common? A new book has the answer

Los Angeles Times

Beyond membership in the Pantheon of Famous Brits, Winston Churchill and George Orwell would seem to have little in the way of common ground. Orwell was a journalist and novelist. Churchill had money and pedigree; the young Orwell lived on the street and raised his own vegetables during World War II. Churchill's political leanings were conservative; Orwell flirted with communism until he witnessed the betrayal of his Republican comrades by Soviet agents in the Spanish Civil War. In "Churchill & Orwell: The Fight for Freedom," Thomas E. Ricks gets beyond these differences and finds the iron core of both men.


Gmail is bringing in AI security for where humans fail

#artificialintelligence

Gmail is introducing new machine learning to prevent people from falling for phishing attacks. People easily fall for disguised phishing attacks. Google is hoping its machines won't be tricked as easily. With more than 1 billion active users on Gmail every day, its a massive job to protect them all from cyberattacks via email. Google estimates 50 to 70 percent of messages in Gmail's inboxes are spam, many of which are carefully crafted to deceive people.


The Disruptive Impact of the Digital Revolution on Accounting

#artificialintelligence

Organizations are slow at adopting progressive methods. This is true for CFOs, CPAs and accountants. The accounting profession needs to prepare for change and threats to competitive advantage because there is an accelerating and disruptive digital technologies transformation in progress called the "digital revolution". We are witnessing significant changes in the nature of technologies available for today's managers and employee teams with regard to infrastructure, availability and capacity. These elements have accumulated in four key technologies often referred as SMAC โ€“ Social, Mobile, Analytics and Cloud.


Hyper-Converged Networks and Artificial Intelligence: Fighting at Machine Speed

#artificialintelligence

The key term when discussing the speed of system development is agility, defined by the Massachusetts Institute of Technology (MIT) as "the speed of operations within an organization and speed in responding to customersโ€ฆor reduced cycle times."4 The federal government, DoD in particular, has been struggling with acquisition reform for some time, and with the signing of the National Defense Authorization Act in fiscal year 2010, Congress placed renewed emphasis on the need to transform the acquisition process for information technology. Several programmatic changes to acquisition helped (such as the approval of the "IT Box" programmatic framework in the joint requirements process), but the agility of software development and modernization remains challenged. Ensuring proper testing and evaluation (T&E) methodology, bureaucratic approval processes to ensure affordability, joint interoperability testing, and lengthy proof-in testing are just some of the processes facing software applications prior to gaining approval for full-rate production and fielding to the warfighter.


ARCHITECHT Daily: China vs. America is an AI red herring

@machinelearnbot

The New York Times published a provocative article on Friday, asking in the headline "Is China outsmarting America in A.I.?". But depending on how you define "outsmarting," and the context in which the question is asked, the answer might not even matter much. The answer might matter very much in terms of geopolitics and national security. Just like with supercomputing, quantum computing and other areas of deep computer science research, having better capabilities in artificial intelligence can arguably lead to an edge in areas like military, energy and climate science that can shift the world-power balance. But if we're talking about consumer or enterprise AI, then comparing China and the United States is kind of like comparing apples and oranges.


AI will usher in new generation of advanced security software

#artificialintelligence

Healthcare IT and information security executives just got a glimpse of what the next generation of security software might look like and the new functionalities imminent products will bring to customers. IT consultancy Gartner noted that by 2020 at least 75 percent of security software tools on the market will include predictive and prescriptive analytics based on heuristics, artificial intelligence capabilities or machine learning algorithms to essentially augment hospitals' oft-limited security operations and staff. "The overall security market is undergoing a period of disruption due to the rapid transition to cloud-based digital business and technology models that are changing how risk and security functions deliver value in an organization," Gartner principal analyst Deborah Kish said. Gartner added that its recent research into security spending found that organizations across industries, not just healthcare, have developed a preference for buying security and risk management technologies as cloud computing or software-as-a-service offerings. "SaaS for security and risk management is becoming critical as customers transition to digital business practices," Gartner said.


The Role of Artificial Intelligence in Patient Engagement

#artificialintelligence

Artificial intelligence (AI) has continued to make major headlines as part of the life sciences industry's trifecta of recent technology trends, and it's not hard to see why. Research published by MarketsandMarkets projected that the healthcare artificial intelligence market is expected to grow from $667.1 million in 2016 to more than $7.9 billion by 2022, a compound annual growth rate of 53 percent over the forecast period. This explains why companies such as IBM and Google are dominating advancements as they develop deep learning techniques that can revolutionize the way diseases are diagnosed, treated, and even prevented. However, with AI's success, comes its many challenges. According to Niall Brennan, former chief data officer at Centers for Medicare and Medicaid Services (CMS), one of the key challenges related to whether or not artificial intelligence and machine learning gain traction is "translating it into something tangible that will resonate with payers and lead them to think about realigning financial incentives" to improve patient outcomes and reduce healthcare costs. As healthcare organizations start to focus on consumer expectations in response to rising out-of-pocket costs and value-based reimbursements, providers will need to learn how to personalize the patient experience, reduce unnecessary expenditures, and maintain open lines of communication between office visits to keep patients as healthy as possible.