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Deep Learning and Pieces of Eight - OrionX Research
What does a Spanish silver dollar have to do with Deep Learning? It's a question of standards and required precision.The widely used Spanish coin was introduced at the end of the 16th century as Spain exploited the vast riches of New World silver. It was denominated as 8 Reales. Because of its standard characteristics it served as a global currency. The American colonies in the 18th century suffered from a shortage of British coinage and used the Spanish dollar widely; it entered circulation through trade with the West Indies.
How Do I Become a Data Scientist?
The first 2 of them may appear similar at first glance, but actually they make totally different statements. In the first one (Data Science Venn Diagram 2.0) for example, mathematics and statistics are a real subset of Data Science, whereas in the second one Data Science is a real subset of Mathematics, which is a completely different statement. Another question from the first one is, whether Data Science really covers all of computer science, mathematics and statistics etc. This does not sound reasonable. The third diagram tries to explain what exactly is meant by mathematics and statistics.
The AL Interview: Dr George Beaton โ The Future of AI and NewLaw
Dr George Beaton is a partner in beaton and a senior fellow in Melbourne Law School, Australia. His published works include NewLaw New Rules โ A Conversation About the Future of the Legal Services Industry (2013) and Remaking Law Firms: Why & How (2016). You have been a pioneer in research into NewLaw, what place does technology have in NewLaw? Is it central to its development? Just 18 months ago when I wrote Fresh thinking on the evolving BigLawโNewLaw taxonomy little mention was made of the role of technology in NewLaw or BigLaw business model firms.
Terrorists are 'actively seeking' to build killer robots
Technology allowing a pre-programmed robot to shoot to kill, or a tank to fire at a target with no human involvement, might only be years away. And a new report from the UN warns of the dangers if terrorists got their hands on these kind of'killer robots'. The report, which was a result of a week-long meeting on such weapons, held in Geneva earlier this year, said swarms of autonomous weapons would be capable of carrying out attacks. As artificial intelligence advances, the possibility that machines could independently select and fire on targets is fast approaching. Fully autonomous weapons, also known as'killer robots,' are quickly moving from the realm of science fiction (like the plot of Terminator, pictured) toward reality Experts from dozens of countries gathered in Geneva earlier this year to consider the implications of'Lethal Autonomous Weapons Systems' (LAWS).
US pumps 400 million into next-generation wireless research
The U.S. National Science Foundation will spend more than US 400 million over the next seven years to fund next-generation wireless research in an effort to bring super-fast mobile service to the country. U.S. officials hope the investments, announced Friday, will speed up the county's move to next-generation 5G mobile service, potentially offering speeds of 10Gbps, and allow for a rapid expansion of the internet of things. The next-generation mobile services will enable self-driving cars, an "always on" IoT, smart cities, new virtual reality offerings, and video to aid police, firefighters, and emergency medical responders, said John Holdren assistant to President Barack Obama for science and technology. "Time and again, history has shown us that when we make sustained federal investments in fundamental academic research and in public-private partnerships ... we as a nation reap the benefits," Holdren said at an NSF event in Washinton, D.C., Friday. The NSF funding, part of a new White House Advanced Wireless Research Initiative, includes 50 million as part of a partnership with more than 20 mobile companies and trade groups to roll out advanced wireless testing sites in four U.S. cities.
Dish's new voice remote lets you change channels with natural language
It's time to get over your Comcast X1 envy, Dish Network subscribers. Now you can stop changing channels with your finger like a sucker and start using voice commands instead, as Dish recently announced that 30 Voice Remote accessory is now available. The new remote only works with Hopper 3 DVRs and 4K Joey mini set-top boxes. The handheld unit can be used to control navigation, search, and content selection, as well as basic channel changes and DVR recordings. And you don't need to bark bizarre, stilted commands into the thing; Dish says you can use natural language when you search with the remote.
Q&A: How AI stops serious fraud and crime rings in minutes - Artificial Intelligence Online
Last year, mobile operators lost 38 billion ( 28bn) of their revenue to fraud, according to the Communications Fraud Control Association's 2015 survey. International crime rings are successfully and profitably using highly sophisticated techniques to bulldoze through phone companies' anti-fraud defences. However, emerging big data machine learning applications are beginning to turn the tide. Padraig Stapleton, vice president of engineering at Argyle Data provides insights on how mobile operators are deploying big data and AI to protect themselves and their consumers. Mobile operators face an increasingly complex battle against sophisticated global cybercriminals.
How to Start Learning Deep Learning
Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it. If you already have a basic understanding of linear algebra, calculus, probability and programming: I recommend starting with Stanford's CS231n. The course notes are comprehensive and well-written. The slides for each lesson are also available, and even though the accompanying videos were removed from the official site, re-uploads are quite easy to find online.
Partnership Eyes Machine Learning Technology To Fight Macular Degeneration
Google DeepMind announced a partnership with Moorfields Eye Hospital National Health Service Foundation Trust that aims to determine whether or not machine learning technology can be used to analyze eye scans for earlier detection and interventions for eye degeneration. Google bought DeepMind in 2014 in a move to expand its artificial intelligence presence. The collaboration is the result of efforts by Pearse Keane, a consultant ophthalmologist at Moorfields, who contact DeepMind regarding a partnership to help conquer diabetic retinopathy and age-related macular degeneration (AMD) which combined affect more than 625,000 people in the U.K. and over 100 million individuals across the globe. The goal of the project is to create a digital tool that can read eye-scans and quickly recognize abnormalities. Age-related macular degeneration (AMD) is the most common cause of blindness in the U.K. "Every single day -- in the U.K. alone -- nearly 200 people lose sight from the severe, blinding form of this condition and globally the number of people with AMD is set to rise to nearly 200 million by 2020," DeepMind officials said.
NSF leads federal effort to boost advanced wireless research - Artificial Intelligence Online
Today, the National Science Foundation (NSF) announced that it will invest more than 400 million over the next seven years to support fundamental wireless research and to develop platforms for advanced wireless research in support of the White House's Advanced Wireless Research Initiative. These investments will support the research community in experimenting with and testing novel technologies, applications and services capable of making wireless communication faster, smarter, more responsive and more robust. In the last decade, wireless usage across the U.S. has expanded dramatically, with nearly 350 million smartphones, connected tablets and wearable devices in use -- more than double the number from a decade ago -- carrying more than 100,000 times the traffic they supported in 2008. Experts anticipate as many as 200 billion connected devices globally by 2020. The need for ultra-high-speed, high-bandwidth and low-latency (rapid-response) wireless connectivity will only increase.