The Arterys Cardio DLTM application is vendor agnostic and was developed using data from several thousand cardiac cases. The software produces editable automated contours, providing precise and consistent ventricular function in seconds. The trained deep learning algorithm was validated as producing results within an expected error range comparable to that of an experienced clinical annotator. This clearance enables Arterys to make use of its unique clinical annotation platform, which collects ground-truth data every time a user views a study on Arterys.com. In the future, the deep learning model can be optimized as new data is collected from all global users.

Welcome to the second in a new series of brief reports. Every Monday, we might look back at last week; look ahead to this week; share a few thoughts (our own or others); or discuss anything that catches our eye. Anything goes, so here goes. Last week I was in Hong Kong, but that region has probably been discussed enough for the moment. As part of that trip there was the 2017 StartmeupHK Festival, which produced a few interesting points from a presentation and a panel discussion.

Scientists have created what they say is a vaccine against the kind of fake and hyper-partisan news that is spreading quickly across Facebook. The researchers claim that by showing people lies, they can teach them to better see the truth. The solution works in a similar way to a real vaccine – exposing people to a small amount of the problem to help them better respond to larger amounts of it. The solution could help social networks and news organisations battle against fake news, which has been credited with helping the vote for both Brexit and for Donald Trump. The study claims that if people are shown well-established facts about climate change and then lies about it, the latter will cancel out the former.

Welcome to California Inc., the weekly newsletter of the L.A. Times Business Section. California ended the year adding just 3,700 jobs in December, according to a jobs report released Friday, but that modest gain inched the unemployment rate down to 5.2%, what one economist called a reflection of a state "firing on all cylinders." That news was overshadowed by the inauguration of President Donald Trump, whose first speech as commander in chief helped the market snap a five-day losing streak. Still, Wall Street was holding its collective breath over what would come next. Oscar time: Nominations for the 89th Academy Awards will be announced Tuesday, kicking of a month of campaigning by the studios.

LONDON -- The government is putting cutting edge technologies such as artificial intelligence (AI), 5G wireless internet, "smart" energy technology, and robotics at the heart of its new post-Brexit industrial strategy. Theresa May is set to launch the government's "Modern Industrial Strategy" on Monday at a regional meeting of the cabinet in the North West. The Prime Minister announced in a release on Sunday evening that the strategy would be focused around ten key strategic pillars, the first of which is: "Investing in science, research, and innovation." The release says that the £4.7 billion increase in research & development (R&D) funding announced in last year's Autumn Statement is central to the new industrial strategy. This investment will go to areas such as AI and robotics, Number 10 says.

Guy Ryder is an old hand at Davos. The director general of the International Labour Organisation has seen it all: the years when the global business elite is brimful of confidence and the years, such as 2017, when the top 1% of the top 1% is fretful. Ryder detected parallels with 2009, when the global economy seemed to be heading for a second Great Depression. Eight years ago, the attendees were shaken by the banking collapse but showed little contrition. This year, they were alarmed by the populist anger that was evident in Brexit and Donald Trump's arrival in the White House but couldn't really understand why it was happening.

Shivaram Kalyanakrishnan is an assistant professor in the department of computer science and engineering at the Indian Institute of Technology-Bombay. He specialises in artificial intelligence (AI) and is the only author from India who is part of an 18-member study panel of the Stanford University-hosted report titled Artificial Intelligence and Life. Kalyanakrishnan's expertise broadly fits in the area of machine learning. Called reinforcement learning, it defines what actions software agents should take to maximize a certain type of reward after learning from reward and punishment. In an interview, he urges people to be more optimistic about the things AI can do rather than be obsessed with the fear around AI machines.

New Delhi: In the darkened offices of a tech start-up, a handful of computer engineers sifts through a mountain of intelligence data that would normally be the work of a small army of Indian security agents. "We use artificial intelligence (AI) to look for patterns in the past to predict future behaviour," says Tarun Wig as he explains why he hopes his company Innefu can do more business with India's government. We lost out on the industrial revolution, we lost out on the defence revolution--let's not lose out in the cyber revolution." While other countries have long relied on AI to gather intelligence, India--sometimes seemingly addicted to paperwork--has continued to use agents to eyeball reams of data gathered over the years. It's a process that sucks up time and can often miss crucial information.

Provided by AFP Tech start-up Innefu is developing AI systems for use by Indian intelligence-gathering agencies In the darkened offices of a tech start-up, a handful of computer engineers sifts through a mountain of intelligence data that would normally be the work of a small army of Indian security agents. "We use artificial intelligence (AI) to look for patterns in the past to predict future behaviour," says Tarun Wig as he explains why he hopes his company Innefu can do more business with India's government. We lost out on the industrial revolution, we lost out on the defence revolution -- let's not lose out in the cyber revolution." While other countries have long relied on AI to gather intelligence, India -- sometimes seemingly addicted to paperwork -- has continued to use agents to eyeball reams of data gathered over the years. It's a process that sucks up time and can often miss crucial information.

AI's next frontier requires ethics built through policy. With one foot in its science fiction past and the other in the new frontier of science and tech innovations, AI occupies a unique place in our cultural imagination. Will we live into a future where machines are as intelligent -- or frighteningly, more so -- than humans? We have already witnessed AI predict the outcome of the latest U.S. presidential election when many policy wonks failed. Perhaps we are further along than we thought.