First ever crash reported with a self-driving car at (some) fault.
Alphabet Inc’s (GOOGL.O) Google said on Monday it bears “some responsibility” after one of its self-driving cars struck a municipal bus in a minor crash earlier this month.
Category: robotics/AI – Page 2,763
Peter Wittek, a roving adventurer between machine intelligence and quantum physics
I must admit, when people see that you work with Quantum Computing and/ or networking; they have no idea how to classify you because you’re working on Nextgen “disruptive” technology that most of mainstream has not been exposed to.
Peter Wittek and I met more than a decade ago while he was an exchange student in Singapore. I consider him one of the most interesting people I’ve met and an inspiration to us all.
Currently, he is a research scientist working on quantum machine learning, an emergent field halfway between data science and quantum information processing. Peter also has a long history in machine learning on supercomputers and large-scale simulations of quantum systems. As a former digital nomad, Peter has been to over a hundred countries, he is currently based in Barcelona where, outside work hours, he focuses on dancing salsa, running long distances, and advising startups.
Rubik’s Cube-solving robot
This robot solves Rubik’s Cube in under ONE second and sets new record.
Data breach lawsuits indicate a troubling trend for enterprises
I see these growing exponentially in the next few years especially when companies introduce autonomous technologies. One must ponder how far will these go when the breach was inside a bank that is leveraging technology and/ or autonomous technologies from vendors. https://lnkd.in/bzXdix3
A number of data breach lawsuits have been filed against major enterprises in recent years, which could lead to mounting data breach costs.
AI learns to predict human reactions
A team of Stanford researchers have developed a novel means of teaching artificial intelligence systems how to predict a human’s response to their actions. They’ve given their knowledge base, dubbed Augur, access to online writing community Wattpad and its archive of more than 600,000 stories. This information will enable support vector machines (basically, learning algorithms) to better predict what people do in the face of various stimuli.
“Over many millions of words, these mundane patterns [of people’s reactions] are far more common than their dramatic counterparts,” the team wrote in their study. “Characters in modern fiction turn on the lights after entering rooms; they react to compliments by blushing; they do not answer their phones when they are in meetings.”
In its initial field tests, using an Augur-powered wearable camera, the system correctly identified objects and people 91 percent of the time. It correctly predicted their next move 71 percent of the time.
Australians and Robots Working Together
I like the concept; however, as long as “connected AI” is connected to the Net or any network infrastructure, or platform that is connected to a network and the network infrastructure/ net can be hacked; companies and consumers will still finding themselves closely monitoring the AI systems & machines which could cost companies more money and not less money. So, this does place a concern on the investments being made to develop technology that may not be fully adopted as it once was hoped.
Australians could be working alongside artificial devices and robotic devices within the next 20 years, according to a landmark report by the Federal Government’s agency for scientific research.
The CSIRO has launched a report claiming that rapid advances in automated systems and artificial intelligence meant that robotic devices would be able to perform many tasks more quickly, safely and efficiently than humans.
The report, commissioned by the Federal Government in partnership with the Australian Computer Society, Boston Consulting Group and ANZ, “mapped out the changing landscape of our workforce as we move through huge technological shifts”, according to Minister for Employment, Senator Michaelia Cash.
Artificial intelligence ‘should be used to give children one-on-one tutoring’
I fully support this only when the net and infrastructure is secured from hackers.
Artificial intelligence should be used to provide children with one-to-one tutoring to improve their learning and monitor their well-being, academics have argued.
One-to-one tutoring has long been thought the most-effective approach to teaching but would be too expensive to provide for all students.
However, in a paper, academics from University College London’s Knowledge Lab argue that AI systems could simulate human one-to-one tutoring by delivering learning activities tailored to a student’s needs and providing targeted and timely feedback, all without an individual teacher present.
Report Cites Dangers of Autonomous Weapons
I agree 100% with this report by former pentagon official on AI systems involving missiles.
A new report written by a former Pentagon official who helped establish United States policy on autonomous weapons argues that such weapons could be uncontrollable in real-world environments where they are subject to design failure as well as hacking, spoofing and manipulation by adversaries.
In recent years, low-cost sensors and new artificial intelligence technologies have made it increasingly practical to design weapons systems that make killing decisions without human intervention. The specter of so-called killer robots has touched off an international protest movement and a debate within the United Nations about limiting the development and deployment of such systems.
The new report was written by Paul Scharre, who directs a program on the future of warfare at the Center for a New American Security, a policy research group in Washington, D.C. From 2008 to 2013, Mr. Scharre worked in the office of the Secretary of Defense, where he helped establish United States policy on unmanned and autonomous weapons. He was one of the authors of a 2012 Defense Department directive that set military policy on the use of such systems.
New Hyproline System Capable of High-Speed Mass Customization of Metal 3D Printed Parts
At the end of last year, Davide Sher predicted that 2016 would see metal 3D printing move from a technology capable of producing small batches to a fully-automated method for serial manufacturing. Davide cited a number of machines in development that herald the age of serial metal 3D printing, but he may have left one system out: the Hyproline platform.
The Hyproline is the result of an EU additive manufacturing initiative began in 2012 to create a high-performance production line for small series metal parts. After several years, the group of industry partners involved, including researcher organization TNO and Swedish metal printer manufacturer Höganäs, have finalized the Hyproline system. The machine uses a similar platform as TNO’s PrintValley, which involves a conveyor belt mechanism to pass multiple build plates beneath a print head. The result is an automated assembly line that can produce a variety of custom parts at high speed.