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) …
This'quadrupedal' vehicle may look like a smart shopping trolley ready for a supermarket dash in some distant interstellar community. But, in fact, it's a full-size, robotic walking car, which Hyundai believes may be helpful in rescue zones when normal vehicles, even the most robust 4x4s, just can't hack it. It's called the'Elevate' and by blending technology found in modern electric cars with advanced robotics, it can climb up 5ft walls, straddle a 5ft hole and step across piles of debris, thanks to the addition of four fully articulated robotic legs – and all the while keeping its passengers completely level. The idea is that the Elevate could be driven by first responders to a disaster location, just like a traditional electric car, but then when the terrain became impassable it could use its highly dexterous legs to move in any direction. It can walk at 3mph and the legs are powered by the same battery that drives the car's motor.
And the problem with living through a revolution is that it's impossible to take the long view of what's happening. Hindsight is the only exact science in this business, and in that long run we're all dead. Printing shaped and transformed societies over the next four centuries, but nobody in Mainz (Gutenberg's home town) in, say, 1495 could have known that his technology would (among other things): fuel the Reformation and undermine the authority of the mighty Catholic church; enable the rise of what we now recognise as modern science; create unheard-of professions and industries; change the shape of our brains; and even recalibrate our conceptions of childhood. And yet printing did all this and more. Because we're about the same distance into our revolution, the one kicked off by digital technology and networking. And although it's now gradually dawning on us that this really is a big deal and that epochal social and economic changes are under way, we're as clueless about where it's heading and what's driving it as the citizens of Mainz were in 1495. That's not for want of trying, mind. Library shelves groan under the weight of books about what digital technology is doing to us and our world.
The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her. 2. Paragraph 1 shall not apply if the decision: is necessary for entering into, or performance of, a contract between the data subject and a data controller; is authorised by Union or Member State law to which the controller is subject and which also lays down suitable measures to safeguard the data subject's rights and freedoms and legitimate interests; or is based on the data subject's explicit consent. In the cases referred to in points (a) and (c) of paragraph 2, the data controller shall implement suitable measures to safeguard the data subject's rights and freedoms and legitimate interests, at least the right to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision. Lasso Given:!", $" ℝ' ℝ) 1, 2, …, . The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her. 2. Paragraph 1 shall not apply if the decision: is necessary for entering into, or performance of, a contract between the data subject and a data controller; is authorised by Union or Member State law to which the controller is subject and which also lays down suitable measures to safeguard the data subject's rights and freedoms and legitimate interests; or is based on the data subject's explicit consent. In the cases referred to in points (a) and (c) of paragraph 2, the data controller shall implement suitable measures to safeguard the data subject's rights and freedoms and legitimate interests, at least the right to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision.
Hi-Rez founder and CEO Erez Goren is stepping down and handing the reigns to Stewart Chisam. Chisam joined Hi-Rez as VP of operations in 2008 and has most recently led the company's transition into publishing. The change comes after an impressive year of commercial growth for the company, which is best known for its free-to-play games Smite and Paladins. "This is something that Erez and I have been planning for a while - really since I took the President role in 2014," Chisam told GamesIndustry.biz.-- "With the company in good shape and entering its next stage of growth, we thought now was a good time to make the change. Many people may not realize it, but Erez is a very successful entrepreneur that has started multiple successful companies in several industries. Over the past year or two, he has taken more and more interest in solving some healthcare industry problems using machine learning technology, as well as one or two other outside interests. The CEO change at Hi-Rez gives him the opportunity to spend the time he needs to with his other companies to help ensure their success, while still being engaged in the high level strategy."
Just released this week is a doozy of a game concept from Luden.io that's picking up pretty positive user reviews. While True: Learn() will have you puzzling together neural networks using actual machine learning techniques. There's a story about your cat, too, which is apparently a better machine learning specialist than you--so you set about making a cat to human translation software. Its primary selling point, however, is that it's designed to teach you actual concepts in machine learning. Puzzles in the game are based on real world problems that could be solved by machine learning, like self-driving cars.
A superb infographic was released this week from the clever people at intelligentinsurer.com - Here's an extract: Having surveyed over 300 commercial insurers it seems clear the industry has reached a tipping point -- at least in respect of how they reply to surveys. The overwhelming majority of respondents now firmly believe the wind of technological change (in the form of AI) is coming to one of the quieter backwaters of the insurance sector, commercial. Who is still in denial? As a company that tries to be an agent of change in this sector in Asia for SME insurance (an Insurtech, in the jargon), one of the standout lessons I've learned in the last three years building Inzsure.com is that this sector is slow to adopt new ideas. I'm still not quite sure where the headwinds come from but will try and develop some themes in this article.
The number of techy tools that brokers have access to in their toolbox is growing as broker management systems include more and more features, technology vendors offer solutions that allow for the analysis of data coming in from carriers, and insurers plan out brokerage environments of the future that are focused on the customer experience. Not all technology will prove to be useful to brokers, at least not at the outset when these tools are still being honed, and some will fail to be adopted widely – one only has to look at Segways to realize that technology is not always as transformative as it promises. In the case of one brokerage, chatbots were that tech tool that didn't quite take off. "We were one of the brokerages experimenting with chatbots and we never really got to a point where it was there for us to go all in on them," said John McClelland, broker and director of digital for McClelland Insurance, and founder of miBroker, adding that it wasn't a complete enough solution. While the firm's experiments involved using chatbots for lead generation, the next piece of the puzzle was missing.
Learn how you can generate CUDA code from a trained deep neural network in MATLAB and leverage the NVIDIA TensorRT library for inference on NVIDIA GPUs. The video demonstrates this by using a pedestrian detection application as an example. The NVIDIA TensorRT library is a high-performance deep learning inference optimizer and runtime library. The generated code leverages the network-level and layer-level TensorRT APIs to get the best performance, and you see the neural network for pedestrian detection running on a NVIDIA Titan XP around 700 fps. You can export the generated code along with the rest of the application and deploy the algorithm on embedded GPU targets such as Jetson Tegra or Drive PX platforms.