Jun
2015
drones and libraries
Drones and Robots for Reference? (RUSA-MARS)
more on drones in this blog:
Digital Literacy for St. Cloud State University
more on drones in this blog:
Copping a ’copter
http://www.economist.com/node/21650071
In March, it [the French Government] held trials of anti-drone “detect and defeat” systems.
DroneShield’s system is centred on a sophisticated listening device that is able to detect, identify and locate an incoming drone based on the sound it makes
http://fcw.com/articles/2015/04/27/drone-privacy-rules.aspx
National Telecommunications and Information Administration’s “multi-stakeholder process” to develop privacy policies for commercial and private use of unmanned aircraft systems.
The Future of Privacy Forum said privacy threats aren’t equal and a lot can depend on exactly what technologies a given UAS is carrying.
More on drones in this blog:
https://blog.stcloudstate.edu/ims/?s=drones
One year or less (2015–2016):
Two to three years (2017–2018):
Four to five years (2019–2020):
The NMC’s interim K–12 Horizon Report can be downloaded for free.
Here is more on drones at our blog:
http://www.techinsider.net/google-inc-googl-and-amazon-com-inc-amzns-forthcoming-drone-wars/1114967.html
Please consider other IMS postings on drones:
https://blog.stcloudstate.edu/ims/2014/08/27/faa-has-commercial-drone-regulations-backwards/
http://www.cbsnews.com/news/drones-unmanned-aircraft-pushing-limits-of-the-law/
The FAA’s position is as simple as it is inane. If a realtor films buildings for fun using a remote controlled quadcopter that’s legal. But if she takes that same quadcopter and films buildings as part of her job, that is illegal. If a farmer flies a model aircraft over his cornfield doing barrel rolls and loops, that’s legal. But if he uses the same model airplane to determine how to conserve water or use less fertilizer that’s illegal. This is government regulation at its worst.
The FAA decision is a reversal from the initiatives entertained at different universities:
read more:
http://www.huffingtonpost.com/2014/03/17/us-drones-_n_4978768.html
http://petapixel.com/2014/08/27/take-get-drones-banned/
An executive guide to artificial intelligence, from machine learning and general AI to neural networks.
Narrow AI is what we see all around us in computers today — intelligent systems that have been taught or have learned how to carry out specific tasks without being explicitly programmed how to do so.
General AI
General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience.
There are a vast number of emerging applications for narrow AI:
A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C Müller and philosopher Nick Bostrom reported a 50% chance that Artificial General Intelligence (AGI) would be developed between 2040 and 2050, rising to 90% by 2075.
Another area of AI research is evolutionary computation.
As mentioned, machine learning is a subset of AI and is generally split into two main categories: supervised and unsupervised learning.
Supervised learning
Unsupervised learning
All of the major cloud platforms — Amazon Web Services, Microsoft Azure and Google Cloud Platform — provide access to GPU arrays for training and running machine-learning models, with Google also gearing up to let users use its Tensor Processing Units — custom chips whose design is optimized for training and running machine-learning models.
It’d be a big mistake to think the US tech giants have the field of AI sewn up. Chinese firms Alibaba, Baidu, and Lenovo, invest heavily in AI in fields ranging from e-commerce to autonomous driving. As a country, China is pursuing a three-step plan to turn AI into a core industry for the country, one that will be worth 150 billion yuan ($22bn) by the end of 2020 to become the world’s leading AI power by 2030.
While you could buy a moderately powerful Nvidia GPU for your PC — somewhere around the Nvidia GeForce RTX 2060 or faster — and start training a machine-learning model, probably the easiest way to experiment with AI-related services is via the cloud.
Robots and driverless cars
Fake news
Facial recognition and surveillance
Healthcare
Reinforcing discrimination and bias
AI and global warming (climate change)
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more on AI in this iMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education
Nested on the servers’ motherboards, the testers found a tiny microchip, not much bigger than a grain of rice, that wasn’t part of the boards’ original design. Amazon reported the discovery to U.S. authorities, sending a shudder through the intelligence community. Elemental’s servers could be found in Department of Defense data centers, the CIA’s drone operations, and the onboard networks of Navy warships. And Elemental was just one of hundreds of Supermicro customers.
interdiction, consists of manipulating devices as they’re in transit from manufacturer to customer. This approach is favored by U.S. spy agencies, according to documents leaked by former National Security Agency contractor Edward Snowden. The other method involves seeding changes from the very beginning.
In emailed statements, Amazon (which announced its acquisition of Elemental in September 2015), Apple, and Supermicro disputed summaries of Bloomberg Businessweek’s reporting.
The Chinese government didn’t directly address questions about manipulation of Supermicro servers, issuing a statement that read, in part, “Supply chain safety in cyberspace is an issue of common concern, and China is also a victim.” The FBI and the Office of the Director of National Intelligence, representing the CIA and NSA, declined to comment.
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more on hackers in this IMS blog
https://blog.stcloudstate.edu/ims?s=hacker