The consequences of fabricated news stories may have lingering effects on your perception. According to a new study, voters may develop false memories after reading a fake news report. And, they're more likely to do so if the narrative lines up with their own beliefs. Researchers presented over 3,000 eligible voters in Ireland with legitimate and made-up stories ahead of the 2018 referendum on legalizing abortion. In subsequent questioning – and after being told that some of the reports were fake – nearly half of participants reported a memory for at least one of the fabricated events, and many tended to be steadfast in these beliefs.

WASHINGTON – Amazon, Microsoft and Intel are among leading tech companies putting the world at risk through killer robot development, according to a report that surveyed major players from the sector about their stance on lethal autonomous weapons. Dutch NGO Pax ranked 50 companies by three criteria: whether they were developing technology that could be relevant to deadly AI, whether they were working on related military projects, and if they had committed to abstaining from contributing in the future. "Why are companies like Microsoft and Amazon not denying that they're currently developing these highly controversial weapons, which could decide to kill people without direct human involvement?" The use of AI to allow weapon systems to autonomously select and attack targets has sparked ethical debates in recent years, with critics warning they would jeopardize international security and herald a third revolution in warfare after gunpowder and the atomic bomb. A panel of government experts debated policy options regarding lethal autonomous weapons at a meeting of the United Nations Convention on Certain Conventional Weapons in Geneva on Wednesday.

MOSCOW – Russia on Thursday launched an unmanned rocket carrying a life-size humanoid robot that will spend 10 days learning to assist astronauts on the International Space Station. Named Fedor, for Final Experimental Demonstration Object Research with identification number Skybot F850, the robot is the first ever sent up by Russia. Fedor blasted off in a Soyuz MS-14 spacecraft at 6:38 a.m. The Soyuz is set to dock with the space station on Saturday and stay till Sept. 7. Soyuz ships are normally manned on such trips, but on Thursday no humans are traveling in order to test a new emergency rescue system. Instead of cosmonauts, Fedor was strapped into a specially adapted pilot's seat, with a small Russian flag in his hand.

The majority of experts and opinion leaders believe that artificial intelligence (AI) is going to revolutionise many industries, including healthcare [1]. In the short term, the power and potential of AI appear most suitable for complementing human expertise. In other words, machines will help humans do a better job. Consequently, it is anticipated that AI will help with repetitive tasks, in-depth quantification and classification of findings, improved patient and disease phenotyping and, ultimately, with better outcomes for patients, physicians, hospital administrators, insurance companies and governments [2]. This focus issue of the Netherlands Heart Journal aims to help general cardiologists explore the state of the art of AI in cardiology.

In this article, I'm going to tell you about automating corporate strategies using artificial intelligence, and look at some recent progress in automatically generating strategies in the face of uncertainty. Every day, progress in artificial intelligence is addressing tasks currently performed only by humans, and it's worthwhile to take a short-term view of what this all means to your company. Games like chess have been tackled by artificial intelligence with amazing results, but there was this big gap between those games - where everything about the game state and consequences is known before making a decision - and the reality of life where, like poker, there is only a little bit of information available to the decision-makers, and the quality and quantity of information used to make decisions varies wildly. We humans face this situation of high uncertainty every time we cross the street or eat a hamburger, but it doesn't seem to bother us. Until recently, computers have had a lot of trouble dealing with games that give the decision-maker incomplete information about the state of the game.

When HSBC Holdings Plc thwarted a $500 million central-bank heist, sophisticated computer software didn't raise the alarm. The funds flowed undetected from Angola's reserves to a dormant company's account in London. It was a teller at a suburban bank branch who became suspicious, declined a request to transfer $2 million, and triggered a review that uncovered the scam, according to one account of the episode. That was two years ago, and the finance industry's battle to stop the illicit transfer of as much as $2 trillion a year around the globe hasn't become any easier. At least a half-dozen lenders in Europe have found themselves at the center of fresh allegations of dirty money schemes in the past year.

Top nations like Germany, Singapore and South Korea have adopted AI and robotics into the healthcare sector. Korea is the leading nation for AI adoption followed by Singapore, China and Taiwan according to an ITIF report. Healthcare systems around the world, notably the UK's National Health Service, have already engaged the use of AI health assistant programs to modify the clinical process with the help of applications and programs to give their patients information as well as facilitate meetings with clinicians. An Indian software company Sigtuple, created an AI- based telepathology system that automates their smart microscopes to take pictures and upload on cloud. This allows efficiency among pathologists for their diagnosis.

Continuing to build on its vision of'Digital Telangana', Google India and the Telangana Government have signed an MoU to improve and get more local language content online using Google's digital publishing tool, Navlekha. The effort has already rolled out several initiatives aimed towards bridging the digital divide, mentoring local startups and enabling small and medium businesses to gain from the internet. As part of the MoU, Google will work with the state government to help digitise the government's content in Telugu to make it easier for the common man to get access to all the information and services on government sites in their local languages. Besides, Google will also collaborate with the government to support its digital literacy vision and aid in the overall digitization agenda of the state. "Google has been a trusted partner for Telangana who have already set up their office in Hyderabad and are in the process of setting-up their 2nd largest campus in Hyderabad. We have identified that availability of content in native language over the internet is essential for all citizens of Telangana to use internet actively," said Jayesh Ranjan, Principal Secretary ITE&C and Industries Department, Telangana government.

In another sign that the future of work is already here, JPMorgan Chase has signed a five-year deal with a software startup that uses artificial intelligence to write marketing copy, following a successful pilot with the technology. In tests, JPMorgan Chase found that Persado's machine-learning tool crafted better ad copy than its own writers could muster, as measured by the higher click rates--more than double in some case--on digital ads for Chase cards and mortgages. In one such matchup, an ad written by a human read, "Access cash from the equity in your home." The more successful version, from Persado, read, "It's true--You can unlock cash from the equity in your home." "Persado's technology is incredibly promising," Kristin Lemkau, chief marketing officer at JPMorgan Chase, said in a statement.

AI should be built on rigorous knowledge... Note: This is a follow-up to an earlier article on causal machine learning, "AI Needs More Why". There's much to be excited about with artificial intelligence (AI) in healthcare: Google AI is improving the workflow of clinicians with predictive models for diabetic retinopathy [2], many new approaches are achieving expert-level performance in tasks such as classification of skin cancer [3], and others surpassing the capabilities of doctors -- notably the recent report of DeepMind's AI for predicting acute kidney disease, capable of detecting potentially fatal kidney injuries 48 hours before symptoms are recognized by doctors [4]. Yet medical practitioners and researchers at the intersection of machine learning (ML) and medicine are quick to point out these successes are not representative of the more nuanced, non-trivial challenges presented by medical research and clinical applications. These ML success stories (notably all deep learning) are disease prediction problems, learning patterns that map well-defined inputs to well-labeled outputs [5]. Domains where instinctive pattern recognition works powerfully are what psychologist Robin Hogarth termed "kind learning environments" [6].