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) …
Rideshare company Lyft is has been working to make autonomous cars a reality lately. The company's pilot in Boston recently launched, thanks to a partnership with nuTonomy. Now Lyft has extended its partnership to nuTonomy's parent company Aptiv, to give rides to folks attending the Computer Electronics Show (CES) in Las Vegas from January 9th through the 12th. Attendees won't be able to grab a self-driving car to anywhere in Vegas, of course; this is still a point to point affair with more than 20 pre-defined routes and destinations. Aptiv will provide the automated driving vehicles while Lyft will take on the dispatch.
Everyday, we depend on many systems and machines. We use a car to travel, a lift go up and down, and a plane to fly. Electricity comes through turbines and in a hospital machine keeps us alive. Some failures are an just an inconvenience, while others could mean life or death. When stakes are high, we perform regular maintenance on our systems.
I've got this ominous feeling that 2018 could be the year that everything changes dramatically. The incredible breakthroughs we saw in 2017 for deep learning will carry over in a very powerful way in 2018. A lot of work coming from 2017's research will migrate into everyday software applications. As I did last year, I've compiled a list of predictions for where deep learning will go in 2018. Many deep learning hardware startup ventures will begin to finally deliver their silicon in 2018.
While Amazon and United Parcel Service pour considerable resources into finding ways of using drones to deliver such things as shoes and dog treats, Zipline has been saving lives in Rwanda since October 2016 with drones that deliver blood. Zipline's autonomous fixed-wing drones now form an integral part of Rwanda's medical-supply infrastructure, transporting blood products from a central distribution center to hospitals across the country. And in 2018, Zipline's East African operations will expand to include Tanzania, a much larger country. Delivering critical medical supplies in this region typically involves someone spending hours (or even days) driving a cooler full of life-saving medicine or blood along windy dirt roads. Such deliveries can become dangerous or even impossible to make if roads and bridges get washed out.
A lot of people have inhibitions regarding artificial intelligence taking over the world, and inevitably their jobs. And we've been seeing that in almost every sector. For example, a lot of jobs that were previously being done by humans are now increasingly becoming automated, and AI – like it or hate it - seems to be the way forward for many industries. But quite contrary to our fears, the increased adoption of AI, machine learning and the Internet of Things (IoT) in business strategies and analytics will only increase jobs for human beings, according to recruitment experts. Human resource and search experts estimate that the AI buzz could generate a 50-60 percent higher demand for AI and robotics professionals in 2018, even as machines will take over repetitive manual work.
When it comes to artificial intelligence and jobs, the prognostications are grim. The conventional wisdom is that A.I. might soon put millions of people out of work -- that it stands poised to do to clerical and white collar workers over the next two decades what mechanization did to factory workers over the past two. And that is to say nothing of the truckers and taxi drivers who will find themselves unemployed or underemployed as self-driving cars take over our roads. But it's time we start thinking about A.I.'s potential benefits for society as well as its drawbacks. The big-data and A.I. revolutions could also help fight poverty and promote economic stability.
In tech, this was officially the year we saw artificial intelligence engines leading consumer product lines. Most notable was the role AI played in Google's portfolio. Many products launched with Google Assistant built in, but it wasn't until the end of 2017 that we realized the role AI would play in driving Google's marketing. From its smartphones to its laptops and smart speakers, even its new earbuds, Google Assistant and its contextual abilities quickly became the reason to bring home a Google product. The Google Assistant exists in this array of devices.
For the second year in a row, we surveyed a number of great minds in the legal community for their opinions on legal tech. From bitcoin and blockchain to A.I. and chatbots, there's plenty to get excited about. Respondents to this year's survey included: Here's what they had to say: There were several contenders for the biggest legal tech news story of 2017, with A.I. taking a top spot yet again. "The barista at my local Starbucks who thought about going to law school one time was getting ready to launch a legal tech company that focused on A.I. indigent defense via crowdsourcing along the blockchain," said Keith Lee. "That's how prevalent it's been."
Live streaming has become most popular across the world through smartphone applications. Many applications like Periscope, Meerkat, Facebook live etc. had become very popular. Social platforms are focusing on the various technologies to make their step forward in business and success. Recently, Twitter was developing the new technology which recognises the happenings in live video automatically. The Twitter's highly developed learning systems named as cortex which recognises the labelling moving images in the live video streams.
TORONTO, Jan. 02, 2018 (GLOBE NEWSWIRE) -- Datametrex AI Limited (the "Company" or "Datametrex") (TSXV:DM) (FSE:D4G) is pleased to announce its appointment of internationally recognized FinTech, InsurTech, and Artificial Intelligence (AI) influencer and venture capitalist Spiros Margaris to its advisory board. He regularly appears in the top three positions of established global industry influencer rankings. He is also ranked worldwide the No. 11 AI influencer by Jay Palter Social Advisory and the No. 10 blockchain influencer by Right Relevance. He is a speaker at international FinTech and InsurTech conferences, and he publishes articles on his innovation proposals and thought leadership. Recently, he published an AI white paper, "Machine learning in financial services: Changing the rules of the game," for the enterprise software vendor SAP.