If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Kalashnikov has revealed a pair of smart drones designed to protect Russian assets in the Arctic. The drones will offer'round-the-clock protection of the perimeters' according the the arms makers. The two'ZALA' drones have an automatic identification system that can gather information about a vessel at a distance of 62 miles, it claims. The ZALA 421-16Ev2, one of two new'ZALA' drones that have an automatic identification system that can gather information about a vessel at a distance of 62 miles, it is claimed The two drones will able to give operators information about each vessel: its name, size, course and speed. It also has its own alternative navigation system for when GPS or its Russian equivalent, is unavailable.
In an interdisciplinary project funded by a Canadian Institute for Advanced Research (CIFAR) Catalyst grant, researchers at the University of Guelph and the University of Toronto, Mississauga combined expertise in fruit fly biology with machine learning to build a biologically-based algorithm that churns through low-resolution videos of fruit flies in order to test whether it is physically possible for a system with such constraints to accomplish such a difficult task. Fruit flies have small compound eyes that take in a limited amount of visual information, an estimated 29 units squared. The traditional view has been that once the image is processed by a fruit fly, it is only able to distinguish very broad features. But a recent discovery that fruit flies can boost their effective resolution with subtle biological tricks has led researchers to believe that vision could contribute significantly to the social lives of flies. This, combined with the discovery that the structure of their visual system looks a lot like a Deep Convolutional Network (DCN), led the team to ask: "can we model a fly brain that can identify individuals?"
MIT chemical engineers and neuroscientists have devised a new way to preserve biological tissue, allowing them to visualize proteins, DNA, and other molecules within cells, and to map the connections between neurons. The researchers showed that they could use this method, known as SHIELD, to trace the connections between neurons in a part of the brain that helps control movement and other neurons throughout the brain. "Using our technique, for the first time, we were able to map the connectivity of these neurons at single-cell resolution," says Kwanghun Chung, an assistant professor of chemical engineering and a member of MIT's Institute for Medical Engineering and Science and Picower Institute for Learning and Memory. "We can get all this multiscale, multidimensional information from the same tissue in a fully integrated manner because with SHIELD we can protect all this information." Chung is the senior author of the paper, which appears in the Dec. 17 issue of Nature Biotechnology.
London's police will be testing out live facial recognition technology on Christmas shoppers today and tomorrow. The Metropolitan Police Service said the test, which will cover areas in Soho, Piccadilly Circus and Leicester Square, is part of its ongoing trial of the technology. When people pass through the area covered by the cameras, their images are streamed directly to the police facial recognition system database. This database contains a watch list of offenders wanted by the police and courts for various offences. The system measures the structure of each face, including distance between eyes, nose, mouth and jaw, to create facial data.
Remember all those classics you devoured in comp-lit class? Research shows that we retain an embarrassingly small sliver of what we read. In an effort to help college students boost that percentage, a team made up of a designer, a psychologist, and a behavioral economist at Australia's RMIT University recently introduced a new typeface, Sans Forgetica, that uses clever tricks to lodge information in your brain. The font-makers drew on the psychological theory of "desirable difficulty"--that is, we learn better when we actively overcome an obstruction. Sans Forgetica is purposefully hard to decipher, forcing the reader to focus.
Enrollment in artificial intelligence (AI) introductory courses in the United States grew by 3.4 times between 2012 and 2017, and introductory machine learning (ML) classes grew by five times during that same period. That's according to the latest AI Index 2018 Report, a rich collection of data intended to serve as a "comprehensive resource" for anybody interested in the field. The information was contributed by universities, companies, consultancies and associations. The report observed that ML courses are on a faster trajectory for growth than AI at this point. While the University of California Berkeley's introductory AI course grew by a little under two times between 2012 and 2017, its ML course had 6.8 times as many students.
Artificial Intelligence (AI) could be the black, " the glistening brand new thing, the response to each marketer's insecurities. The latest development of AI in the Mine halls of academia along with the back rooms of info science was motivated by reports of drones, robots along with driver-less cars under-taken by technology giants such as Amazon. However, the hoopla exceeds the daily actuality. AI features a fifty-year record of computer and mathematical science enhancement, thought and experimentation. Why is it enjoyable would be that the confluence of high data collections, advanced programs and applications, more rapidly and stronger processing capacities and an increasing cadre of information boffins ready to exploit a larger variety of software. The prosaic daily applications of artificial intelligence and machine understanding is likely to produce a bigger variation in the lifestyles of brands and consumers in relation to the brassy software touted from the media. We're creating linking and data huge data collections at exemplary prices, that can be multiplying annually. Meanwhile, the development of cellular networking, societal support systems, programs, automatic private urges, wearables, digital clinical documents, self-reporting appliances and cars and also the coming Net of Matters (IOT) build competitive chances and struggles. Generally in the majority of instances, there's long and consideration job to align, interrogate, filling and join compacted data before any diagnosis may be initiated. Gathering, preserving, filtering and linking these pieces and bytes to some individual is catchy and much more sensitive. Compiling a so called"Golden report" necessitates contemplating computing ability, a solid stage, fuzzy-logic or profound understanding how to connect disparate parts of information and also proper privacy protections. Additionally, it takes believe talent in modeling and also a cadre of information boffins effective of visiting that the woods in contrast to the timber. One tone Continues to Be Inspirational. The fantasy of one-way personalized communicating is really on the horizon however nevertheless invisibly. Even the gating facets would be the should come up with common protocols such as individuality resolution, and solitude protections, and an comprehension of human sensitivities along with permissions, the identification of inflection factors and also a in depth story line of individual users and sections proceed through space and time into their travel from desire certainly to new taste. Utilizing AI," we're in a early test and learn phase directed by organizations from the financial services, retail and telecom businesses.
With a disappearing IT perimeter, a widening skills gap and the increasing sophistication of cyber attacks, it is not surprising that many enterprises are struggling to deal with the current cyber security landscape. It's not just the continued data breaches that have hit the media headlines this year, but it's the nature of the data – CVV and passport numbers – coupled with the regulations such as GDPR that have placed strict directives on the need for organisations to keep their data safe. A lot has changed in the cyber security landscape this year, and one topic that has been in the spotlight is Artificial Intelligence (AI), with many organisations beginning to adopt the technology to take it from just another buzzword to an application that can deliver true business value. Discussion of AI's ability to aid the cyber security industry has played a big part of the debate; whilst some argue it has the potential to revolutionise the cyber security industry, others argue that the drawbacks currently far outweigh the potential benefits. Research shows that 60% think AI has the ability to find attacks before they do damage – but how far can the technology be relied upon to keep the bad guys out?
In his bestselling book, Up the Organization, former Avis president Robert Townsend captured the problem of automation precisely. Writing at a time when the vast paper systems of corporate America were being transferred to computers, he warned that it was important first to make sure that a company's paper systems are actually effective and accurate. "Otherwise," he quipped, "your new computer will just speed up the mess." Today, we are faced with a new wave of optimism about the prospects of what is called artificial intelligence (AI). It is important to parse these words carefully for they will tell you why artificial intelligence as it is currently conceived will very likely "just speed up the mess."