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) …
While not in most people's top 10 (or even top 100) new technologies lists, Machine Learning is one of the tech breakthroughs that are set to power the future. IFI Claims Patent Services ranks the technology third among the 8 fastest growing technologies of 2017. Basically, Machine Learning is a field within the broad science of Artificial Intelligence (AI) which almost everyone has heard about, I'm sure. However, the two do not have much to do with each other outside of the shared concept of "machines doing things" as discussed below. On its part, AI involves programming machines to think and perform tasks just like regular humans would.
The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships, tanks, aircraft, drones, weapons and large networks as part of a sweeping strategy to more quickly harness and integrate the latest innovations. Many forms of AI are already well-underway with U.S. military combat systems, yet new technologies and applications are emerging so quickly that Deputy Secretary of Defense Patrick Shanahan has directed the immediate creation of a new Joint Artificial Intelligence Center. "The Deputy Secretary of Defense directed the DoD Chief Information Officer to standup the Joint Artificial Intelligence Center in order to enable teams across DoD to swiftly deliver new AI-enabled capabilities and effectively experiment with new operating concepts in support of DoD's military missions and business functions." DoD spokeswoman Heather Babb told Warrior Maven. Pentagon officials intend for the new effort to connect otherwise disparate AI developments across the services.
Traffic hell is alive and well in Los Angeles. In 2017, Angelenos were stuck on the road for 102 hours each (more than four full days), costing the city $19.2 billion, according to INRIX's annual global traffic scorecard. Traffic is almost as bad--and costly--in Moscow, Sao Paulo, and London. But this is the 21st century! Can't AI fix these problems by optimizing traffic flow?
Video evidence, from dash and body-worn cameras, surveillance systems and smartphones, has given rise to a new dimension of police investigations. There is often so much video evidence that the investigator is overwhelmed by the task of culling out the irrelevant segments to focus on those that provide genuine insight to the incident. Video analytics powered by artificial intelligence (AI) simplifies and accelerates that process. Investigators may be forced to watch many hours of uneventful video, looking for the brief segment that contains evidence. A similar problem is when someone is assigned to monitor multiple live feeds of surveillance video, and is to send out an alert when something noteworthy is observed.
Motor Trend will never publish a First Drive review on the Volkswagen SEDRIC. That's because the SEDRIC, which Volkswagen Group is currently evaluating for launch sometime after 2023, is a completely autonomous vehicle. It has no steering wheel. You just call it up on your smartphone and tell it where you are and where you want to go. When it arrives, get in, sit back, relax, and enjoy the ride.
But what does it mean, and more importantly, what might it mean for you in the future? First, let's get on the same page in case you are one of the many who looks up most acronyms these days because acronyms appear and disappear so quickly. "A branch of computer science dealing with the simulation of intelligent behavior in computers (…machine to imitate intelligent human behavior)" "A field of computer science that uses statistical techniques to give computer systems the ability to'learn' (e.g., progressively improve performance of a specific task) with data, without being explicitly programmed" Another related term is "expert system," closely related to both AI and ML, which uses a knowledge base of expert information plus an inference engine to make decisions and solve complex problems. The Merriam-Webster definition of AI (specifically, "…machine to imitate intelligent human behavior") did put a smile on my face as I contemplated whether a computer imitating stupid human behavior would qualify as artificial intelligence, or do we also need a definition for artificial stupidity? You may think I'm kidding, but it's only a slight exaggeration if you realize that some of the current buzz around Google Duplex and Assistant emphasizes a computer agent that can imitate the voice, pauses, and false starts inherent in human communication.
Microsoft (NASDAQ: MSFT) is in the middle of a massive transition right now, but you may not have noticed. That's because the company is moving effortlessly into the burgeoning artificial intelligence (AI) market -- and it's bringing its legacy products and services along with it. Over the past few years, Microsoft has successfully been building new features into its Office products and launching new AI-powered tools through its Azure cloud-computing service as the company looks beyond its Windows products to the fast-growing AI market. Microsoft CEO Satya Nadella said recently that AI is the "defining technology of our times," and he's probably right. AI has the capability to alter how we drive our cars, it will help automate our factories, it will both create and kill jobs, it can be used in warfare, and it's already being used to help improve our healthcare.
Expert Computer Vision at BMW AG Munich, Germany (Posted Jun 18 2018) About the company BMW Group vehicles are the epitome of innovation, combining cutting-edge technologies with state-of-the-art manufacturing facilities and processes. We are always looking for talent from a broad range of disciplines to help us realise our visions and drive automotive progress. Whether in research, development or production, an exciting working environment defined by challenges, responsibilities and rewards awaits software developers, IT specialists, engineers, mechatronic engineers and electrical engineers. Graduates of other disciplines, such as business administration, law and the arts also make a valuable contribution to the company. What matters more than the area of expertise is passion and enthusiasm to bring high-quality vehicles to the road.
A Phys.org article states that Army researchers are making huge strides in the field of artificial intelligence (AI) that can support U.S. soldiers on the battlefield. Their latest development is an affordable yet capable AI assistant that can reportedly help human troops learn more than 13 times faster than normal training methods. Featuring vastly improved machine learning capabilities, the AI will be installed upon the Army's future ground combat vehicles. It is intended to help a human soldier spot important clues, recognize the developing situation, and come up with a solution to the problem on the fly. The AI would reportedly help preserve American lives during the chaos of combat.
Accidents and attacks that involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances are rare, but can be of high consequence. Since the investigation of such events is not anybody's routine work, a range of AI techniques can reduce investigators' cognitive load and support decision-making, including: planning the assessment of the scene; ongoing evaluation and updating of risks; control of autonomous vehicles for collecting images and sensor data; reviewing images/videos for items of interest; identification of anomalies; and retrieval of relevant documentation. Because of the rare and high-risk nature of these events, realistic simulations can support the development and evaluation of AI-based tools. We have developed realistic models of CBRNE scenarios and implemented an initial set of tools.