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) …
Artificial Intelligence is not a buzzword anymore. As of 2018, it is a well-developed branch of Big Data analytics with multiple applications and active projects. Here is a brief review of the topic. AI is the umbrella term for various approaches to big data analysis, like machine learning models and deep learning networks. We have recently demystified the terms of AI, ML and DL and the differences between them, so feel free to check this up.
The Papago GoSafe S810 camera duo has more "safety" features than you can shake a stick at, including one I'd never even considered--stop sign recognition. It recognizes stop signs and pops the digital equivalent up on its display. Kind of fun, but as I'm wont to say: If you need this stuff, call a cab or wait for self-driving vehicles. Admonishment aside, the $170 S810 is more than just fancy features. It takes very, very good day and night video, and the rear camera, unlike some we've seen recently, actually captures enough detail to be useful.
While Artificial Intelligence (AI) has been a research discipline for over 60 years, it has only recently blossomed and permeated consumer and business technology and applications. The history of AI shows cycles of wild predictions and enthusiasm, followed by disillusionment when predictions about its utility were foiled by the difficult realities. AI has always been the subject of great hope and great hype – recognizing its real potential often requires understanding its weaknesses. After defining AI in practical terms, we cover some of the ways it can be most effectively used in nonprofit organizations. Researchers in AI joke that once an application of AI works, it no longer is considered AI.
When I talk to people about machine learning on phones and devices I often get asked "What's the killer application?". I have a lot of different answers, everything from voice interfaces to entirely new ways of using sensor data, but the one I'm most excited about in the near-team is compression. Despite being fairly well-known in the research community, this seems to surprise a lot of people, so I wanted to share some of my personal thoughts on why I see compression as so promising. I was reminded of this whole area when I came across an OSDI paper on "Neural Adaptive Content-aware Internet Video Delivery". The summary is that by using neural networks they're able to improve a quality-of-experience metric by 43% if they keep the bandwidth the same, or alternatively reduce the bandwidth by 17% while preserving the perceived quality.
UK supermarkets are reportedly going to adopt facial recognition technology at self-checkouts to verify the age of customers buying products. The pilot scheme will be rolled out in checkout areas in which customers serve themselves by the end of the year. Should the scheme be a success, the technology could be more widely adopted in 2019, as reported by The Telegraph. NCR is an American company which develops point-of-sale (PoS) systems for organizations worldwide. Customers include Tesco, Asda, and other supermarkets across the United Kingdom and beyond.
This week, the travel industry will be celebrating the United Nations' annual World Tourism Day (WTD) and this year's theme is all about "Tourism and the Digital Transformation". Over the past two decades, developments in technology have played a fundamental role in the growth of the tourism and travel industry. The establishment of Online Travel Agents (OTAs) helped to empower tourists – offering them access to a wider selection of travel options at reduced prices – and boosted profits for travel suppliers who found themselves with improved access to a global customer base. How can new technologies including big data, artificial intelligence and digital platforms be harnessed to boost growth and improve the customer experience? Given the cost and time-constricted nature of vacations, making travel decisions can prove arduous for travellers – often not helped by the number of options search engines serve.
The Fourth Industrial Revolution, an age of automation, advanced AI, and human-machine collaboration is by most measures, well underway. In recent years, we have seen rapid advancements in machine intelligence, so much so that AI is matching or outperforming humans in many different areas. This is not to say that humans are obsolete. We still have our strengths and by recognizing what they are, can we take advantage of machines and get the best of both worlds. In imagine identification, Google's Neural Image Assessment (NIA) has been trained to accurately predict how we're likely to respond to a particular image based on how aesthetically pleasing it is.
Artificial intelligence (AI) has entered the office. In fact, 90 percent of U.S. workers said they're optimistic about the changes technology will bring in the next five years, according to Accenture. Further, a recent McKinsey brief estimated that AI techniques could potentially create between $3.5 trillion and $5.8 trillion in value annually across nine business functions in 19 industries. As AI continues to get smarter and more capable, employee productivity is poised for a sizable shift with the new tools and technology available to workers. All signs are pointing to AI becoming a key element and driver in unleashing workforce potential.iStock
Over 450 Amazon employees have urged CEO Jeff Bezos to quit selling the tech giant's controversial facial recognition technology to cops. That's according to a new account, written by an anonymous Amazon employee, who joined other staffers in delivering a letter to Bezos laying out their demands. The facial recognition technology, called'Rekognition,' has been attracting scrutiny since May when the American Civil Liberties Union (ACLU) revealed Amazon had been selling it to several police departments around the country. Over 450 Amazon employees have urged CEO Jeff Bezos to quit selling the tech giant's controversial facial recognition technology, called Rekognition, to cops It comes a day after Bezos appeared at the Wired25 summit and defended his firm's involvement in government contracts. 'We know Bezos is aware of these concerns and the industry-wide conversation happening right now,' the employee wrote in a letter published to Medium.
NXP Semiconductors has launched a new machine learning toolkit. Called "eIQ", it's a software development platform that supports popular neural network frameworks including Caffe2 and TensorFlow Lite. The platform is aimed particularly at the development of machine learning software for edge devices with limited energy consumption and other resource constraints, with NXP Semiconductors highlighting automotive, industrial, and Internet of Things applications. In announcing the new platform, the company noted that eIQ and its other processor solutions can be used to support a range of machine learning applications including facial recognition, wake word and voice control systems, and computer vision technologies including traffic sign recognition and even food recognition. NXP Semiconductors announced the eIQ platform at this week's IoT World Congress in Barcelona, where the company is demoing examples of real-world applications of its machine learning technology.