Existing fuzzy neural networks (FNNs) are mostly developed under a shallow network configuration having lower generalization power than those of deep structures. This paper proposes a novel self-organizing deep fuzzy neural network, namely deep evolving fuzzy neural networks (DEVFNN). Fuzzy rules can be automatically extracted from data streams or removed if they play little role during their lifespan. The structure of the network can be deepened on demand by stacking additional layers using a drift detection method which not only detects the covariate drift, variations of input space, but also accurately identifies the real drift, dynamic changes of both feature space and target space. DEVFNN is developed under the stacked generalization principle via the feature augmentation concept where a recently developed algorithm, namely Generic Classifier (gClass), drives the hidden layer. It is equipped by an automatic feature selection method which controls activation and deactivation of input attributes to induce varying subsets of input features. A deep network simplification procedure is put forward using the concept of hidden layer merging to prevent uncontrollable growth of input space dimension due to the nature of feature augmentation approach in building a deep network structure. DEVFNN works in the sample-wise fashion and is compatible for data stream applications. The efficacy of DEVFNN has been thoroughly evaluated using six datasets with non-stationary properties under the prequential test-then-train protocol. It has been compared with four state-of the art data stream methods and its shallow counterpart where DEVFNN demonstrates improvement of classification accuracy.

Natural language processing (NLP) is an area of computer science and artificial intelligence that is concerned with the interaction between computers and humans in natural language. The ultimate goal of NLP is to enable computers to understand language as well as we do. It is the driving force behind things like virtual assistants, speech recognition, sentiment analysis, automatic text summarization, machine translation and much more. In this post, you will learn the basics of natural language processing, dive into some of its techniques and also learn how NLP benefited from the recent advances in Deep Learning. Natural Language Processing (NLP) is the intersection of Computer Science, Linguistics and Machine Learning that is concerned with the communication between computers and humans in natural language. NLP is all about enabling computers to understand and generate human language.

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For more than a century, the life of a vehicle has begun in the factory. To ensure a smooth transition to the automotive life cycle of the future, manufacturers must carefully design, build and run datacenters optimized for training artificial intelligence at scale. Autonomous vehicles rely on deep neural networks to handle functions that a human driver would typically be responsible for. These algorithms can perceive the world around the car, plan the vehicle's motion and actuate that path. Before they can safely run in the car, deep neural networks must be rigorously trained in the datacenter, where they are shown millions of hours of driving data, enabling an autonomous vehicle to recognize and react to scenarios on its own.

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It's not very surprising that Google has come to dominate the more high-end aspects of cloud computing and data storage. The tech giant's suite of cloud computing services powers everything from its famed search algorithms to YouTube, and has become an increasingly important player in the worlds of machine learning and Artificial Intelligence (AI). If you're interested in beginning or advancing a career that's even remotely tied to any of these overarching industries, having an in-depth knowledge of how the Google Cloud Platform can be used alongside the latest innovations in tech is essential, and the Google Cloud Mastery Bundle will get you up to speed for just $39--90% off its usual price. Each of the four courses in this expert-led bundle introduces you to a different element of the Google Cloud and explains how this versatile service can be applied to a variety of in-demand AI and data analysis platforms. The Google DialogFlow For Chatbots course walks you through how to build intelligent voice-aware bots that lie at the heart of today's customer service and online support industry.

The new iPhone is coming. There are probably just days to go until Apple reveals the new handset. And just days after that it'll be ready and waiting, for those who've successfully clicked or queued their way into buying it. All of that makes it just about the worst possible time to buy an iPhone. They are all their usual price, and are just about to be overtaken by a whole host of brand new phones.

This fall, we've teamed up with Google Cloud and O'Reilly Media to present a full four days of TensorFlow training at the O'Reilly Artificial Intelligence conferences -- in both San Francisco (Sep 4–7) and London (Oct 8–11). We've worked with the conference organizer to make all of the tutorials and sessions open to any conference pass holder. We'll be presenting an entire track of TensorFlow-oriented sessions, delivered directly by members of the TensorFlow and Google Cloud ML teams. Attendance to the TensorFlow training and sessions is open to any conference attendee, from Pavilion Plus pass holders up: we look forward to meeting you and talking TensorFlow!

Marketers today struggle to connect 1:1 with customers and prospects – and nowhere is that more apparent than the B2B website. Technology can help us, but not when it's geared towards spamming people with impersonal messages. With Artificial Intelligence (AI), B2B marketers have finally found a way to turn data into meaningful insights, converting those insights into action – at scale. In this webinar, Phil Hollrah and David Hsieh, SVP at Qubole, will discuss how Demandbase is integrating AI into website personalization to optimize the customer experience.

Microsoft has announced a whole host of Xbox updates, including new accessories and games. During the Gamescom event during which the future of the console was revealed, there were updates on just about every upcoming big game: details about Forza Horizon 4 were revealed, for instance, in the form of the Team Adventure mode that lets players compete together while taking on the world in races, games and other modes. And there was important information about existing ones, too. Xbox announced that PUBG will finally leave the Xbox Game Preview, for instance, meaning that it is at last considered a full game after developers struggled to make it work properly. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.