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) …
In early December 2016, an oil spill in Belfield, ND that measured more than 175,000 gallons was discovered by a local landowner. It is unknown how long the pipeline may have been leaking and while the pipeline had monitors and was regularly inspected, the leak was not detected. In late January 2017, an Iowa pipeline that crosses several mid-western states, spilled almost 50,000 gallons of diesel fuel caused by an excavator not checking on the presence of underground utilities. Monitors, sensors and rapid responses coupled with algorithms provide strong foundations for managing operations. However, all machine learning algorithms have flaws.
At first glance, the letter from the Delhi police commissioner's desk could have easily been dismissed as another routine laundry list of his department's "achievements" in the previous year. A closer look at the letter, written a little over two years ago, would have sprung a pleasant surprise in the context of the city police's technology prowess. The Delhi Police, according to the letter, had partnered with the Indian Space Research Organisation to implement CMAPS--Crime Mapping, Analytics and Predictive System--under the "Effective use of Space Technology-based Tools for Internal Security Scheme" initiated by Prime Minister Narendra Modi in 2014. CMAPS generates crime-reporting queries and has the capacity to identify crime hotspots by auto sweep on the Dial 100 database every 1-3 minutes, replacing a Delhi Police crime-mapping tool that involved manual gathering of data every 15 days. It performs trend analysis, compiles crime and criminal profiles and analyses the behaviour of suspected offenders--all with accompanying graphics.
Robots are probably the first thing you think of when asked to imagine AI applied to industrials and manufacturing. Indeed many innovative companies like Rodney Brooks' Rethink Robotics have developed friendly-looking robot factory workers who hustle alongside their human colleagues. Industrial robots have historically been designed to perform specific niche tasks, but modern-day robots can be taught new tasks and make real-time decisions. As sexy and shiny as robots are, the bulk of the value of AI in industrials lies in transforming data from sensors and routine hardware into intelligent predictions for better and faster decision-making. By 2020, Cisco predicts the number will surpass 50 billion.
Spoilers ahead for the Ghost in the Shell anime and US remake. The original Ghost in the Shell anime feature is a cultural landmark. It was a neo-noir story set in a startlingly fresh vision of a connected world, and it was particularly timely in 1995 since the internet was just finding its legs in the real world. The film's lead was a badass cyborg woman privy to bouts of existentialism. And, like the best cyberpunk science fiction, Ghost in the Shell (and its original manga) asked deep questions about our relationship with technology.
Three months into 2017 and we continue to encounter stories and predictions about how artificial intelligence (AI) will fundamentally change a variety of industries on an almost day-to-day basis. While it's receiving significant attention, the challenge is explaining what this type of technology could do to improve certain functions and jobs. Implementing systems to make dynamic and complex decisions as a way to displace humans is way off from mainstream adoption and the lack of articulating that concept effectively is typical of any hype cycle. As we continue into the year, we will start to see the hype wear off and broader adoption of AI-based solutions within organisations, particularly in data analysis and deriving insight from that data. Let's look at the trends we can expect over the coming months.
Self Organizing Map (SOM) is a form of Artificial Neural Network (ANN) belonging to a class of Machine Learning. AI Junkie has a GREAT tutorial about it. What I like about SOMs is that they belong to a class of unsupervised learning models and they hold true to the first law of geography. "Everything is related to everything else, but near things are more related than distant things." I encountered them and used them over 20 years ago, and since AI/ML is the hottest topic these days, I'm reacquainting myself with them.
Last month, High's company unveiled Project Intu, an experimental platform that allows developers the ability to build internet of things devices using its artificial intelligence services, like Conversation, Language and Visual Recognition. Someday, the system promises to let programmers create a staple character of sci-fi: the gregarious, hyper-connected AI like J.A.R.V.I.S. of Iron Man, KITT of Knight Rider, or Star Wars' C3PO. High isn't talking about a robot that's conscious or sentient, with genuine feelings, but rather a "cognitive" AI that can analyze the mood and personality of a user and adjust how it expresses itself--in text, voice, online avatars, and physical robots. The result, he says, could transform industries like retail, elder care, and industrial and social robotics. At IBM's 2016 Watson Developer Conference in San Francisco last month, Australian oil- and gas-drilling company Woodside showed an onscreen question-answering AI built with Project Intu.
Arithmetically, the problem is a combination of collapsing productivity and insufficient capital investment. On February 19, 2017, the New York Times ran a feature story on recent changes in the United States oil industry.2 The focus was on the recent "embrace" of technological innovation in the industry after the 2014 plunge in the global oil market. This was just one of a rash of such pieces in the popular press, relying, as is typical of such writing, on a smattering of skewed, decontextualized data, a healthy serving of the anecdotal, and a host of the worst tech journalism clichés ("a few icons on a computer screen," "a click of the mouse," video game marathons as job training, a compulsory reference to drones). Zeroing in on the effects of these changes on workers in west Texas, the article's upshot is unobjectionable enough: as oil prices recover, output rises, and production becomes more capital-intensive, many workers who lost jobs in the downturn will be replaced by machines.
In the 2009 blockbuster'Avatar,' a human remotely controls the body of an alien, by injecting human intelligence into a biological body. While this still remains in the realm of science fiction, researchers have managed to create a similar system that allows humans to remotely control turtles. The incredible system, which is operated via a device on the turtle's shell, can'read' and use human thought to control the animal's movement. A'cyborg system' which consists of a camera, a Wi-Fi transceiver, a computer control module and a battery is mounted on the turtle's shell. Also included on the turtle's shell is a black semi-cylinder with a slit, which forms the'stimulation device'.
You will see how it is possible to find your perfect software development partner and establish a long-term business partnership in the world of offshore development. Speaker Bio Alan Winters is an entertainment executive/TV producer turned serial entrepreneur. After spending two decades creating and marketing projects for major media companies such as FOX and Lionsgate, he has spent the past twelve years in the world of digital start-ups and emerging companies. He is currently engaged in a number of such businesses and takes an active, hands-on role in each. Among those businesses, he is a partner in the StayGo relationship mobile application.