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Robots, immune to fear or favour, are making China's foreign policy

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Stephen Chen investigates major research projects in China, a new power house of scientific and technological innovation. He has worked for the Post since 2006. He is an alumnus of Shantou University, the Hong Kong University of Science and Technology, and the Semester at Sea programme which he attended with a full scholarship from the Seawise Foundation.


Fraud Prevention Machine Learning, AI Fraud Detection Fraud.net

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Your Rights as a Data Subject: By law, you can ask us what information we hold about you, and you can ask us to correct it if it is inaccurate. If we have asked for your consent to process your personal data, you may withdraw that consent at any time. If we are processing your personal data for reasons of consent or to fulfill a contract, you can ask us to give you a copy of the information in a machine-readable format so that you can transfer it to another provider. If we are processing your personal data for reasons of consent or legitimate interest, you can request that your data be erased. You have the right to ask us to stop using your information for a period of time if you believe we are not doing so lawfully. Finally, in some circumstances, you can ask us not to reach decisions affecting you using automated processing or profiling.


Artificial intelligence demands genuine journalism

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This article is written by Maria Teresa Ronderos, director for the Program on Independent Journalism at the Open Society Foundation. Many large newsrooms and news agencies have, for some time, relegated sports, weather, stock exchange movements and corporate performance stories to computers. Machines can be more rigorous and comprehensive than some reporters. Software can import data from various sources, recognise trends and patterns and, using Natural Language Processing, put those trends into context, constructing sophisticated sentences with adjectives, metaphors and similes. These developments are why many in the journalistic profession fear Artificial Intelligence will leave them without a job. But, if instead of fearing it, journalists embrace AI, it could become the saviour of the trade -- making it possible for them to better cover the increasingly complex, globalised and information-rich world we live in.


Tumor Tissue Imaging and AI Bypass Path Lab for Brain Surgeries

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In a major development in how tumors are excised, researchers at the University of Michigan have shown that it's possible to accurately analyze brain tumor tissue within the operating room and assess its nature using artificial intelligence. Tumor tissues typically look just like the healthy stuff around them. When a tumor is removed, parts that are near the edges (margins) are sent to the pathology lab for review. After staining and observations using a microscope, the pathologist can let the surgical team know whether it removed all of the tumor or left some behind. This takes a long time, so much so that typically a follow-up surgery is required if the margins are not completely excised.


Computer Vision Applications in 10 Industries

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Computer vision, or abbreviated to CV, is an increasingly important technology in the field of artificial intelligence. Those involved in its development believe that it has endless possibilities and a wealth of applications in a range of fields. These include developing non-invasive health care treatments to self-driving vehicles and virtual shopping experiences. Through the course of this article, we will seek to explain exactly what computer vision is and the applications of computer vision in all major industries. We will also look at its current limitations as well as how it is already being applied. Computer vision has the potential to transform a number of operations and sectors. As it grows in importance, its potential and applications will be key to helping it enhance your organization. Computer vision is a branch of artificial intelligence that enables computers to see and identify images, processing them as humans would. Using images from cameras and videos, deep learning models enable machines to accurately identify and classify the objects. Computer vision can be confused with image processing. However, computer vision is a more high-level process. It deals with the analysis of an image. In the CV process, the input is an image while the output is the interpretation of an image.


Skin-like sensors bring a human touch to wearable tech

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"Since it's hydrogel, it's inexpensive and biocompatible -- you can put it on the skin without any toxic effects. It's also very adhesive, and it doesn't fall off, so there are so many avenues for this material," Professor Xinyu Liu, whose lab is focused on the emerging areas of ionic skin and soft robotics. The adhesive AISkin is made of two oppositely charged sheets of stretchable substances known as hydrogels. By overlaying negative and positive ions, the researchers create what they call a "sensing junction" on the gel's surface. When the AISkin is subjected to strain, humidity or changes in temperature, it generates controlled ion movements across the sensing junction, which can be measured as electrical signals such as voltage or current.


Facial and voice recognition in cars sounds like a privacy nightmare

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I plopped into the front seat, expecting to laugh in the face of the machine attempting to measure my age, gender, emotional state, and comfort level all through infrared cameras and other sensors. But sitting expectantly in the car, equipped with French automotive software company Valeo's Smart Cocoon 4.0 system, I was flabbergasted when it pinpointed my exact age. Getting that number right made me trust the car's biometric system more than I probably should have, even as tools that measure your heartbeat, track your eyes, head position, voice, and more enter vehicles everywhere. At CES this year, driver and passenger monitoring kept popping up. It's a preview of what will become commonplace in the driver's seat in the coming years.


CES 2020: from instant drink chillers to 10-second toothbrushes - 7 standout gadgets

The Guardian

From flying taxis to robotic pets, the 2020 Consumer Electronics Show has displayed more concepts and prototypes than ever before. Of all the hundreds of thousands of products on show for tech enthusiasts in Las Vegas, here are some of the highlights from the latest CES extravaganza. Uber's dream of mass-market flying taxis has taken another small step towards becoming reality. The South Korean auto-firm Hyundai unveiled its S-A1 concept, an electric-powered aircraft with four rotors to lift its vertical takeoffs and landings, four to drive it up to 180mph in the air and a parachute for emergencies. Hyundai said it will carry four people and their luggage a distance of up to 60 miles and at altitudes up to 2,000ft. Although the initial expectation is for a pilot to fly it, Hyundai ultimately expects it to operate autonomously.


CES 2020: EVs, 8K TVs and streaming – this is the future Sony says it's optimistic about

USATODAY - Tech Top Stories

Sony unveiled at CES 2020 its Vision-S– an electric concept car – as it looks forward to becoming a driving force on the road to the future. But don't look to the global tech and entertainment giant to challenge Tesla or GM, at least not anytime soon. Sony is not going to sell you your next car. "At this point in time, we have no plans for mass production," CEO Kenichiro Yoshida told USA TODAY in an exclusive sit-down at the Sony booth. Instead, Sony is focused on what goes into the car of the future, gathering real-time intelligence about road conditions and the environment in the name of safety. Vision-S has 33 such sensors, including LIDAR and radar.


UK-Based OakNorth, Using AI Credit Platform To Provide Debt Finance

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With each passing year, the fintech sector is providing faster, flexible and secured consumer experience, and is protecting against the risks and vulnerabilities of traditional insurance and loans. In fact, the global fintech market size is expected to grow to $124.3 billion by the end of 2025 at a CAGR of 23.8%. With a vision of providing small and medium-sized growth companies with debt finance, along with aiding them in competing against the large corporations, UK-based OakNorth is utilising artificial intelligence and machine learning to fulfil the dream. Since its inception, OakNorth has secured over $1 billion from leading investors which has been used to launch lending operations and others such. After meeting each other at college in the year 2002, Khosla and Perlman decided to launch their own business that could solve the challenges they had to face in securing debt finance from high street banks during their previous business -- Copal Amba which scaled to 3,000 employees and was later acquired by Moody's Corporation in 2014.