An artificial intelligence algorithm is able to identify patients with congenital Long QT syndrome using limited electrocardiogram data, according to an abstract published May 10 at the Heart Rhythm Scientific Sessions conference in Boston. LQTS is a heart rhythm disorder that, if left untreated, puts patients at an increased risk for arrhythmias and sudden cardiac death. For the study, a team of researchers from Rochester, Minn.-based Mayo Clinic and AliveCor sought to determine whether AI could identify patients with congenital LQTS despite patients having a normal QTc on their EKG. The researchers applied an AI algorithm that used deep neural networks to patient data from lead I of a 12-lead EKG and evaluated whether the algorithm was able to distinguish between patients with concealed LQTS and those without the condition. The researchers found the deep neural network achieved 79 percent accuracy, along with specificity of 81 percent and sensitivity of 73 percent.

In tomorrow's workplace, many routine jobs now performed by workers will increasingly be assumed by machines, leaving more complicated tasks to humans who see the big picture and possess interpersonal skills, a Stanford scholar says. Visiting scholar James Timbie says that the artificial intelligence revolution will involve humans and machines working together, with the best results coming from humans supported by intelligent machines. Artificial intelligence and other advancing technologies promise advances in health, safety and productivity, but large-scale economic disruptions are inevitable, said James Timbie, an Annenberg Distinguished Visiting Fellow at the Hoover Institution. He trained at Stanford as a physicist, served as a senior advisor at the State Department from 1983 to 2016 where he played a key role in arms control and disarmament, and now studies the impact of emerging technologies such as artificial intelligence. Timbie discussed what the future may hold for workers in a chapter in the new book, Beyond Disruption: Technology's Challenge to Governance, which he co-edited with Hoover's George P. Shultz and Jim Hoagland.

The White House is hosting a conference on the future of artificial intelligence. Executives from 38 companies, including Intel, Oracle, Ford, Boeing, Mastercard, Microsoft, and Accenture, will attend the daylong summit. Why is it happening now? AI is poised to create 2.3 million jobs by 2020, while eliminating another 1.8 million jobs, according to Gartner. Topics of discussion are said to include how industries like health care and transportation can best use AI, as well as how to fund research in the field.

Canadian Prime Minister Justin Trudeau says Canada is "investing massively in AI," building on decades of research by Canadian computer scientists who helped provide the "modern underpinnings" advancing the field of artificial intelligence.

This story was originally published by Grist and appears here as part of the Climate Desk collaboration. In an era of increasingly extreme hurricanes, floods, and drought, the people in charge of preparing for disasters depend on meteorologists to anticipate where the next catastrophe might strike. Here's some good news: Meteorologists are coming through, with unprecedented accuracy. In fact, weather forecasting technology has improved so dramatically that humanitarian organizations can now fund disaster relief before disaster hits. It's a revolutionary change that could save countless lives.

Employees from AeroVironment allegedly brought a drone with explosives attached to it in a carry-on bag, on a Delta flight in April 2015. As Bloomberg reports, the flight had 230 passengers and when another employee, Mark Anderson, discovered this and reported it to the Department of Defense a month later, he said he was punished, stripped of his responsibilities and then fired without a severance package. AeroVironment counts the US government as a major customer, Bloomberg notes. It's supplied the Navy with submarine-launched spy drones and made robo-hummingbirds for DARPA, for example. A recent report from the company said that over half of its income is from being a government contractor. It's pretty easy, if not more than a little predictable, to see why the company reacted to Anderson's claims the way it did.

Drones are coming to the battlefield faster than you think. Aurora Flight Sciences recently unveiled an autonomous, LiDAR equipped helicopter called AACUS, which was already an impressive feat, considering a helicopter's complexity. Now, for the first time, it has completed an autonomous, closed-loop cargo mission, delivering gas, water and medical supplies to US Marines during an integrated training exercise in California. AACUS (Autonomous Aerial Cargo/Utility System) is based on a Bell UH-1H helicopter, but it's able to take off, fly and land completely autonomously, thanks to LiDAR, cameras, onboard computers and advanced algorithms. The system can plan its own trajectory and even select landing sites in "unmapped and hazardous conditions," Aurora said.

Rules were made to be broken. Unless you're up against, say, special prosecutor Robert Mueller or the frightful might of the Federal Aviation Administration. Turns out that in transportation, like so many other things, regulators can serve as a thick, strong wall, crushing even the most delightful (or horrifying) of innovations with the weight of concrete. Observe Uber's self-driving car program, which, as senior writer Jack Stewart explains, will definitely have to contend with the FAA before it gets off the ground. Or the shaky future of new and potentially life-saving semiautonomous vehicle tech in the US, which carmakers are loath to unleash in a country without firm rules about licensing and liability.

IFI CLAIMS Patent Services has a global patent database with more than 110 million records from about 100 countries that the company has painstakingly assembled over the years. "We take information from different data sources and we standardize it and put it in a usable format that companies can either access directly or they can build a user interface on top of it," Director of Marketing Catherine Suski said. Could the company have acquired this comprehensive dataset instead? There is nothing like it in the world, she said. Furthermore the company is continually adding to it and monitoring it for quality.

Whether you've spent years in IT, are just starting out, or you have kids who you want to push in the right direction for a good technology career, everybody wants to know where the jobs will be in 5 to 10 years and what skills will be needed to do those jobs. That's especially true as organizations are on the cusp of implementing artificial intelligence and automation, which some say could be hugely disruptive, potentially eliminating millions of jobs. There are plenty of opinions about what that future economy and workforce will look like after the coming AI revolution, but no consensus. Those questions and possible futures were among the topics of discussed by experts in testimony before the US House Oversight & Government Reform Committee's Subcommittee on Information Technology last month. The hearing was the third and final in a series about the game changing potential of artificial intelligence, and how the government should participate in policy.