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) …
FogHorn Systems and Google Cloud have announced a partnership to develop solutions for Industrial Internet of Things (IoT) applications. On Tuesday, industrial edge computing solutions provider FogHorn said that the collaboration with Google Cloud IoT Core is aimed at "simplifying the deployment and maximizing the business impact of IIoT applications." FogHorn's Lighting Edge Intelligence platform, an analytics and machine learning system, will be integrated with Google's Cloud IoT Core with industrial IoT and the IIoT market specifically in mind. Google's Cloud IoT Core, which has recently been made generally available, is an IoT sensor service for managing IoT devices, connecting them, and ingesting IoT-based information. "Cloud IoT Core simply and securely brings the power of Google Cloud's world-class data infrastructure capabilities to the IIoT market," said Antony Passemard, Head of IoT Product Management at Google Cloud.
Design has consequences Carnegie Mellon University design students are exploring ways to enhance interactions with new technologies and the power of artificial intelligence. Assistant Professor Dan Lockton teaches the course, "Environments Studio IV: Designing Environments for Social Systems" in CMU's School of Design and leads the school's new Imaginaries Lab. "We want the designers of tomorrow to think about the overlap between the human world and AI. Many of our students are going to go work for companies like Facebook or Google, and they're going to be making decisions that might seem very small in the moment -- what text do we put on a button, how easy do we make it for someone to do this thing or that -- but those decisions are going to impact people's lives. We want them thinking through how their design has consequences."
On Sunday night, a woman died after she was hit by a self-driving car operated by Uber in Tempe, Ariz. The car was operating autonomously, though a safety driver was behind the wheel, according to a statement from the local police. Uber is one of many companies now testing this kind of vehicle in Arizona, California and other parts of the country. Waymo, the self-driving car company owned by Google's parent company, Alphabet, has said it is also operating autonomous cars on the outskirts of Phoenix without a safety driver behind the wheel. On Monday, Uber said it was halting tests in Tempe, Pittsburgh, Toronto and San Francisco.
A strategic tool for enterprises, it introduces genuine reactivity into information systems facing business changes, and as a result, provides a significant edge in optimizing costs. Alexa is Amazon's voice service and the brain behind tens of millions of devices like the Amazon Echo, Echo Dot, and Echo Show. Alexa provides capabilities, or skills, that enable customers to create a more personalized experience. There are now tens of thousands of skills from companies like Starbucks, Uber, and Capital One as well as other innovative designers and developers. You might want to keep up with your fitness goals by getting Fitbit data with Alexa.
The newsroom is unrecognisable from those of 10 years ago. Machine learning and other forms of technology falling within the artificial intelligence (AI) umbrella are being used by news organisations to increase efficiency, as well as profitability. How the LA Times used machine learning to interrogate statistics In a report found on Medium.com, Freia Nahser, innovation reporter and editor of Global Editors Network, explains how the Los Angeles Times used machine learning algorithms to show how the city's police department misclassified 14 000 serious assaults as minor offences between 2005 and 2012. This statistical change effectively lowered the city's crime rate, when the reality was somewhat different.
Artificial intelligence is not about robots taking over the world, but about leveraging the powerful technology to capture and analyse vast quantities of data, and making the best use of that information. That--s the belief of Noel Pearman, Bermuda professional lines underwriter and cyber product lead at XL Catlin, who has been speaking on the subject in the US. For the insurance sector, one likely manifestation of AI will see customers purchase increasingly tailored policies based on data directly relevant to the way they live their lives. Mr Pearman explained: --One of the things we are doing now is capturing data at a rate that we were never able to do before.-- The prevalence of --The Internet of Things-- devices that collect real-time data will allow insurance companies to mine information and offer better rates to customers whose behaviours represent a lower risk, such as those with better driving habits.
The value that can be extracted from a growing wealth of data across boundless sectors is only just beginning to be grasped. If you look at search engines or digital commerce platforms, an almost direct relationship exists between the amount of data users willingly give up and the value this has. There is also the fact that those with the most data at their disposal will probably have the best artificial intelligence in the future, making them nigh on invincible. In finance, data of one sort or another has always held intrinsic value. People who trade in the zero-sum game of capital markets all need a Bloomberg terminal or Thomson Reuters data to have a look at all the traditional price information, earnings estimates and so on.
NARRATOR: The future unfolds before our eyes, but is it always beyond our grasp? What was once the province of the gods has now come more clearly into view, through mathematics and data. Out of some early observations about gambling, arose tools that guide our scientific understanding of the world and more, through the power of prediction. BOATSWAIN'S MATE 1 LUKE SCHAFFER (United States Coast Guard): Keep a good look out. NARRATOR: …every day mathematics and data combine to help us envision what might be. LIBERTY VITTERT (University of Glasgow): It's the best crystal ball that humankind can have. NARRATOR: Take a trip on the wings of probability, into the future. MONA CHALABI (The Guardian, United States Edition): We are thinking about luck or misfortune, but they just, basically, are a question of math, right? The Orange County Fair, held in Southern California: in theory, these crowds hold a predictive power that can have startling accuracy, but it doesn't belong to any individual, only the group. And even then, it has to be viewed through the lens of mathematics. The theory is known as the "wisdom of crowds," a phenomenon first documented about a hundred years ago. Statistician Talithia Williams is here to see if the theory checks out and to spend some time with the Fair's most beloved animal, Patches, a 14-year-old ox. TALITHIA WILLIAMS (Harvey Mudd College): It was a fair, kind of like this one, where, in 1906, Sir Francis Galton came across a contest where you had to guess the weight of an ox, like Patches, you see here behind me. NARRATOR: After the ox weight-guessing contest was over, Galton took all the entries home and analyzed them statistically. To his surprise, while none of the individual guesses were correct, the average of all the guesses was off by less than one percent. But is it still true? TALITHIA WILLIAMS: So, here's how I think we can test that today. What if we ask a random sample of people, here at the fair, if they can guess how many jellybeans they think are in the jar, and then we take those numbers and average them and see if that's actually close to the true number of jellybeans?
"Almost all fields of artificial intelligence have applications in healthcare."1 Medicine appears to have entered the era of data, and artificial intelligence (AI) will prove a valuable tool in the future, notably as an aid to diagnosis. Watson, the program developed by IBM, is the most emblematic example. Based on deep learning, the best known branch of artificial intelligence, it operates by layers, like a network of interconnected neurons spread between different strata for each calculation. The answer is only "produced" after a learning process which from the start associates symptoms and pathology.
Legislators for the European Union have announced an investigation after allegations user data of 50 million Facebook accounts were misused. The investigation comes after Christopher Wylie, a whistle-blower who worked for data analytics company Cambridge Analytica, said on Saturday data of the 50 million users were harvested without their knowledge or consent. Antonio Tajani, president of the European Parliament, said on Twitter the allegations, if true, constitute "an unacceptable violation of our citizens' privacy rights". "The European Parliament will investigate fully, calling digital platforms to account," he said. Allegations of misuse of Facebook user data is an unacceptable violation of our citizens' privacy rights.