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CES 2017: Audi and Nvidia to Make AI-Powered Cars by 2020

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Audi and Nvidia are putting their partnership into high gear with the aim of putting cars with artificial intelligence on the road by 2020. The Q7 Deep Learning Concept car can learn to understand and plot a course through its environment, even as it changes, but it also learns from a driver. "Audi's adoption of our DRIVE computing platform for AI cars will accelerate the introduction of next-generation autonomous vehicles, moving us closer to a future of higher driving safety and new mobility services," said Nvidia founder and CEO Jen-Hsun Huang. "In our mutual pursuit for safer roads, the partnership between Audi and NVIDIA will expand to deep learning and artificial intelligence to bring higher automation into production more quickly," said Scott Keogh, President of Audi of America.


How Technology Can Make Our Roads Safer

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Telematics, on-board diagnostics (OBD) and Internet of Things (IoT) sensors are helping companies and organisations collect a wealth of information to understand the vehicle environment and analyze driver behavior in order to assist in preventing crashes and improve driving habits. "OBD based telematics platforms provide fleets and fleet management companies with direct, high-quality access to their vehicle and fleet data, enabling a host of actionable insights and innovation," says Dirk Schlimm, Geotab's Executive Vice President and Advisory Board Member. "Cars and IoT have the capability to dynamically communicate with surrounding vehicles to reduce crashes, adjust the traffic lights to reduce congestion," adds Colin Sutherland, Executive Vice President, Sales and Marketing at Geotab. Data gathered by HIKOB sensors is consolidated in servers, where it is analyzed to provide actionable insights about traffic and road conditions that can be used to optimise the use of limited maintenance resources and equipment, as well as predicting and alerting about possible hazards and accidents that may take place because of poor road and weather conditions.


Driverless electric cars could 'cut air pollution to almost zero and make car parks obsolete within 10 years'

The Independent

Self-driving electric cars could make car parks obsolete within the next 10 years and reduce air pollution to almost zero in Scotland's cities, an expert has predicted. Private companies can't be trusted on driverless cars, minister warns Ford to offer driverless commercial vehicles by 2021 Driverless car safety revolution could stall over moral dilemma Ministers pledge to put UK at heart of driverless car revolution Private companies can't be trusted on driverless cars, minister warns "Self-driving cars won't need parking spaces in cities - they're likely to be rented rather than owned and will just head off and carry out their next journey after dropping passengers off. Mr Tricker was speaking ahead of Scottish Renewables first low-carbon cities conference, which will be held in Edinburgh in February. "Scottish Renewables' first ever low-carbon cities conference explores the many opportunities for Scotland's cities to embrace the transition to a sustainable, clean, green economy, reducing energy costs and tackling fuel poverty, while attracting low-carbon investment and jobs, and building our industries of the future.


Tech predictions for 2017

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Trials have proven artificial intelligence to be effective in suggesting treatments by analysing patients' genomes This year we've expanded our horizons somewhat to include moonshot projects, the social ramifications of technology and one disaster scenario. Added to the walled internets of China, Iran and North Korea, Britain's new National Cyber Security Centre announced in 2016 that one of its first projects would be to build firewall for the country. But this year could be the one cyber criminals mess with everything from individual cars to planes to national transport systems. Computer programs that can sift through masses of information rapidly are set to take control of our health, with some trials having already proven AI can suggest effective treatments by analysing patients' genomes.


Uber moves self-driving cars from California to Arizona

Boston Herald

"Arizona welcomes Uber self-driving cars with open arms and wide open roads. Ducey spokesman Daniel Scarpinato said the governor has been a strong supporter of driverless car technology and new business models, signing in August 2015 an executive order supporting the testing of such cars in Arizona. The ride-hailing company and state regulators negotiated for a week, but Uber pulled its cars off California roads Wednesday after state officials announced they would revoke the vehicle registrations of all 16 self-driving cars. The executive order Ducey signed last year calls for the state's public safety and transportation departments to take steps toward allowing for the testing of self-driving cars.


Uber admits to self-driving car 'problem' in bike lanes as safety concerns mount

The Guardian

Uber has admitted that there is a "problem" with the way autonomous vehicles cross bike lanes, raising serious questions about the safety of cyclists days after the company announced it would openly defy California regulators over self-driving vehicles. When the car was in "self-driving" mode, the coalition's executive director, who tested the car two days before the launch, observed it twice making an "unsafe right-hook-style turn through a bike lane". "The fact that they know there's a dangerous flaw in the technology and persisted in a surprise launch," he said, "shows a reckless disregard for the safety of people in our streets." The fact that they know there's a dangerous flaw in the technology and persisted … shows reckless disregard for safety Uber spokeswoman Chelsea Kohler told the Guardian in an email that "engineers are continuing to work on the problem", and said that the company has instructed drivers to take control when approaching right turns on a street with a bike lane.


Self-Driving Cars: Uber Failed To Get Permit From DMV To Operate Autonomous Cars In San Francisco

International Business Times

The ride-hailing app launched a fleet of self-driving cars in San Francisco on Tuesday but opted not to go through the vetting process put in place by the California DMV, according to a report from TechCrunch. Uber isn't the first company to test autonomous vehicles in the state, and the DMV has a process for granting permission to companies who would like to put those computer-guided cars on the road. "We have a permitting process in place to ensure public safety as this technology is being tested," the California DMV said in a statement. Uber has responded to the DMV's concerns about the company's failure to undergo the standard vetting process by arguing its testing doesn't require the permits the DMV provides.


African nature reserve uses AI to catch poachers

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Heath, in partnership with the World Wildlife Fund, relies on a thermal imaging camera that uses artificial intelligence to identify animals and poachers up to a kilometer away. Inside the SUV, Heath's rangers monitor the video feed, which categorizes the distant objects. Heath has arrested tens of thousands of poachers since he started managing the Mara Conservancy almost 16 years ago. The World Wildlife Fund also tested the technology this fall to identify poachers via drone in Zimbabwe and Malawi.


African nature reserve uses AI to catch poachers

#artificialintelligence

Heath, in partnership with the World Wildlife Fund, relies on a thermal imaging camera that uses artificial intelligence to identify animals and poachers up to a kilometer away. Inside the SUV, Heath's rangers monitor the video feed, which categorizes the distant objects. Heath has arrested tens of thousands of poachers since he started managing the Mara Conservancy almost 16 years ago. The World Wildlife Fund also tested the technology this fall to identify poachers via drone in Zimbabwe and Malawi.


Exploring the Artificially Intelligent Future of Finance

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Exploring the Artificially Intelligent Future of Finance With technological enhancements increasing computing power and decreasing its cost, easing access to big data and innovating algorithms, there has been a huge surge in interest of artificial intelligence, machine learning and its subset, deep learning, in recent years. What have been the leading factors enabling recent advancements and uptake of deep learning? Yuanyuan: Customer experience could be significantly improved using AI by analyzing individual level attributes to make traditional service much more tailor-made. Alesis: One of the main challenges for start-ups when applying Machine Learning specifically to financial services is educating the customers on the importance of data and access to it.