As the co-founder of App Developer Magazine, Richard has several industry recognitions and endorsements from tech companies such as Microsoft, Apple and Google for accomplishments in the mobile market. He was part of the early Google AFMA program, and also involved in the foundation of Google TV. He has been developing for mobile since 2003 and serves as CEO of Moonbeam Development, a mobile app company with 200 published titles in various markets throughout the world. He has been a featured presenter at trade-shows and conferences, and stays active with new projects relating to mobile development.

Google claimed that TensorFlow's distributed architecture gives it a high level of flexibility in how coders define models that train the software. "To make TensorFlow easier to use, we have included Python libraries that make it easy to write a model that runs on a single process and scales to use multiple replicas for training".Distributed computing allows neural networks to learn much faster than the network running on one computer. Engineering leader of TensorFlow Rajat Monga said the reason why TensorFlow's multi-server version was delayed for release because they found it hard to adapt the open-source software to be usable outside of the highly customized data centers of Google. But for many researchers, its expense might as well place it in outer space.TensorFlow comes in a branch of artificial intelligence called deep learning, it works the same way human brain cells interact together.Equally, having access to the combined power of even a small cluster of computers, rather than relying on one machine, means that the overall data throughput of machine learning models and the speed at which they deliver accurate results can be accelerated.Regardless of the advanced feature, TensorFlow has already gained popularity for its software.The Verge has a report covering some of the more compelling projects that developers have created using TensorFlow.

DigitalGenius is announcing its Human AI customer service platform today, along with a 4.1 million seed investment. Machine learning is an approach or set of techniques where you use massive data sets to train machines in semi-supervised ways…Deep learning is a step below machine learning in the tree. The company includes what they call a "confidence threshold" in their AI/customer interactions, and if it drops below a certain point, a human customer service agent steps in or approves the messaging. This follows a growing trend in the industry, as rapid evolution in NLP (natural language processing) and machine learning techniques like deep learning are pushing the technology forward.

The crowdsourcing platform combines human insights with machine learning techniques to untangle and promote wider analytics use of unstructured data. To improve accuracy, the company's "Reputation Engine" applied machine-learning techniques to rate each individual's performance by domain. The resulting combination of human insights and machine learning can then be used to organize unstructured data into "clean," labeled data. Spare5 asserted limitations in current data quality tools leave much unstructured data unused.

"Advanced cyberlearning environments that involve Virtual Reality and Artificial Intelligence innovations are becoming powerful tools that can facilitate the explorations and conversations needed to solve society's "wicked challenges," said Winslow Burleson, PhD, MSE, an engineer by training and currently associate professor, New York University Rory Meyers College of Nursing. The researchers posit that the use of technology, specifically a bundled and ever-evolving fluid set of integrated cyber tools, will connect disparate groups and individuals, converging them in both a real and an imagined cyber-social-physical environment, called the Holodeck, that Burleson's NYU-X Lab is currently advancing in prototype form, in close collaboration with colleagues at NYU Courant, Tandon, Steinhardt, and Tisch, "The "Holodeck" will support a broad range of transdisciplinary collaborations, integrated education, research, and innovation by providing a networked software/hardware infrastructure that can synthesize visual, audio, physical, social, and societal components," said Burleson. NYU-X Lab's Holodeck prototype harnesses the collective power of shared computation, integrated distributed data, immersive visualization, and social interaction to make possible large-scale synthesis of learning, research, and innovation, that will dramatically accelerate the Rittel and Webber iterative mode of problem solving. The goal is to create a networked infrastructure and communication environment where "wicked challenges" can be iteratively explored and re-solved, utilizing visual, acoustic, and physical sensory feedback, human dynamics with and social collaboration.

We review the First International Competition on Computational Models of Argumentation (ICMMA'15). The competition evaluated submitted solvers performance on four different computational tasks related to solving abstract argumentation frameworks. Each task evaluated solvers in ways that pushed the edge of existing performance by introducing new challenges. Despite being the first competition in this area, the high number of competitors entered, and differences in results, suggest that the competition will help shape the landscape of ongoing developments in argumentation theory solvers.

The Brand AI can analyse this liquid big data using its machine learning capabilities to create dynamic real-time personalised actionable insights seamlessly across a customer's physical and digital experience – it is the heartbeat of the retailer's invisible omni-channel offering. For example, the Brand AI can advise in-store sales staff in advance what specific products a customer wants or needs that particular day to help personalise this human interaction, provide on the spot guidance and critical feedback about products available immediately to drive a purchasing decision, or tailor in-store digital experiences such as virtual reality or media walls to create genuine moments of customer delight. In addition, the AI can capture the customer's emotional and physical reactions via wearables to these experiences (such as a raised heartbeat when seeing a new product for the first time); such insights can then be explored later by the customer (including socially with family and friends) using the AI on the retailer's integrated digital channel to sustain their retention. A further opportunity for using Brand AI is its potential ability to streamline inventory management to improve the customer experience and reduce operating risk.

Now, she is applying her creative talents toward building the personality of a different type of character: a virtual assistant, animated by artificial intelligence, that interacts with sick patients. Unlike the fictional characters Ewing developed in Hollywood, who are put through adventures and plot twists, most virtual assistants are designed to perform largely prosaic tasks, such as reading through email, sending meeting reminders or turning off the lights. Writers for medical and productivity apps make character decisions, such as whether bots should be workaholics, self-effacing or eager beavers. At a recent meeting of Microsoft Cortana's six-person writing team -- which includes a poet, a novelist, a playwright and a former TV writer -- the group debated how to answer political questions.

Amazon.com Inc., the largest internet retailer in the world, has acquired Artificial Intelligence-based deep learning startup Orbeus Inc. However, online search has disclosed that the domain name of Orbeus, Orbe.us, is registered in the name of Amazon Hostmaster, which is a part of Amazon technologies Inc., an Amazon subsidiary. Based on neural networks, a powerful artificial intelligence (AI), a photo recognition technology named ReKognition was developed by Orbeus. PhotoTime, an app by Orbeus was launched much before Google announced its launch of its successful Photos app, which is also based on AI.

Computer vision is essentially an arm of artificial intelligence that lets machines analyze and understand images by breaking them down and processing them on a pixel-by-pixel basis, rather than by meta data (such as keywords and descriptions that rely not only on human actions, but on human accuracy too). Predictive typing keyboard company SwiftKey was recently snapped up by Microsoft -- not because it has a popular little app for Androids and iPhones, but because it's building a sophisticated back end built on artificial intelligence and machine learning. This includes artificial neural networks (ANNs) that are more directly based on the structure and workings of the human brain. From enterprise software and drug discovery through to predictive typing and now stock photography searches, machine learning is less of an abstract research field now and more of a reality.