Graph database experts set to discuss GPU accelerated graph query, data analytics and machine learning, and graph database and analytics during April conference. Blazegraph, creator of the industry's first GPU-accelerated high-performance database for large graphs, announced today that company graph database experts will deliver three presentations on using GPUs for graph applications at the GPU Technology Conference (GTC) being held April 4 through April 7, 2016, at the San Jose Marriott and Convention Center in Silicon Valley. GTC is the largest and most important event of the year for GPU developers. This year's event will showcase some of the most vital work being done in the computing industry today, including on artificial intelligence and deep learning, virtual reality and self-driving cars. "GPU-Accelerated Graph Query for Cyber Applications," Jim Carbonaro, Senior Software Engineer at Blazegraph (S6337),Tuesday, April 5, 2016 at 2 p.m. PDT in Marriott Salon 2. Carbonaro will discuss how Blazegraph GPU meets the unique challenges of defending networks in cyberspace by delivering near-real-time performance at very large data scales, using a flexible and updated graph representation to support complex analytics, and supporting existing graph frameworks (RDF, Apache Tinkerpop) and query languages (SPARQL).

SEATTLE--(BUSINESS WIRE)--Dato, creator of the popular machine learning platform GraphLab Create (GLC), announced today tools to give scientists, developers and users confidence in machine learning models and predictions. Dato is the first machine learning company to address the industry need for confidence in models and predictions. "Demand for machine learning has spread to large enterprise organizations," said Carlos Guestrin, Dato CEO and Amazon Professor of Machine Learning at University of Washington. "We have more than 80 commercial customers. The need for trust in models and predictions is an indicator of market adoption among established companies."

"Our research shows that a growing number of customers actually prefer self-service channels to answer questions, resolve issues or complete transactions. Yet, automated handling often hits limitations when it comes to handling complex queries or'remembering' information previously mentioned in a conversation," says Dan Miller, Opus Research lead analyst. "As intelligent assistant technology evolves; we anticipate the emergence of highly specialized'intelligent advisors' that know when and how to involve a live agent. Inbenta's Hybrid Chat is the beginning of this progress." "As a transactional e-commerce-based company, having a superior digital customer support program is essential. You wouldn't make your brick and mortar customers search your store without helping them, so why not give them a personalized experience virtually," says Andreia Ferreira, Live Chat Manager, Ticketbis.

Microsoft has created a new chat bot to "learn" from the internet… but she picked up a lot of bad habits. The tech company announced the launch of Tay this week, an artificial intelligence bot that is learning to talk like millennials by analysing conversations on Twitter, Facebook and the internet. The company's optimistic techies explained: "Tay is an artificial intelligent chat bot developed by Microsoft's Technology and Research and Bing teams to experiment with and conduct research on conversational understanding. "Tay is designed to engage and entertain people where they connect with each other online through casual and playful conversation. The more you chat with Tay the smarter she gets."

WATERLOO, ON--(Marketwired - Mar 29, 2016) - Maluuba, a deep-learning company helping machines think, reason and communicate with human-like intelligence, today announced it has opened an R&D lab in Montreal. As part of the labs, Maluuba has partnered with machine learning and neural computation expert, Yoshua Bengio from the Montreal Institute for Learning Algorithms (MILA) and reinforcement learning expert Richard Sutton from the Alberta Innovates Centre for Machine Learning, to further Natural Language Understanding (NLU) and artificial intelligence (AI) advances. The research lab, staffed by 13 deep learning research scientists, is led by Maluuba's CTO, Kaheer Suleman, an information retrieval and artificial intelligence expert. With a focus on the development of proprietary algorithms to solve language problems, Maluuba's goal is to build the world's most advanced research facility in deep learning and AI. "While we're closer to the goal of getting machines to exercise reasoning and understand conversational language, we still have a long way to go," said Yoshua Bengio.

The platform will be the integral part of Image Search Engine for Image Referral Network and Image Ad Network, to automate generation and placement of highly-relevant targeted ads based on images in a large scale for the first time in the industry. ZAC's AI Discovery platform can also be used for other types of images, data, or objects, e.g., clothing, purse, accessories, medical images, satellite images, and biometrics. ZAC has an impressive team of scientists and developers. The software development is headed by Saied Tadayon, a veteran software developer and scientist, who got PhD from Cornell at age 23. One of ZAC's inventors is Prof. Lotfi A. Zadeh ("The Father of Fuzzy Logic"), a pioneer computer scientist at U.C. Berkeley.

DEDHAM, MA--(Marketwired - Jan 28, 2016) - Rage Frameworks, a provider of knowledge-based automation technology and services, today announced major additions to its pioneering RAGE AI platform, adding two new powerful frameworks to its suite. RAGE AI significantly extends the frontier of deep learning and machine intelligence technology from "natural language processing" to "natural language understanding." RAGE AI incorporates deep linguistic parsing and proprietary innovations to understand meaning in context, which makes its solutions completely transparent, auditable and flexible. The platform facilitates unsupervised to supervised learning and contains several innovations to support automated knowledge acquisition including pragmatic knowledge. RAGE AI is not a black box and does not rely on statistical patterns present in training data.

Deloitte today announced an alliance with Kira Systems to bring the power of machine learning to the workplace, an innovation that could help free workers from the tedium of reviewing contracts and other documents. The alliance will combine Deloitte's business insights in cognitive technologies with Kira Systems' advances in machine-learning in creating models that quickly "read" thousands of complex documents, extracting and structuring textual information for better analysis. This capability holds broad applications for the marketplace, said Craig Muraskin, Deloitte LLP, managing director of Deloitte's US Innovation group, as the extensive review of documents goes into many pressing business activities, including investigations, mergers, contract management, and leasing arrangements. "Wading through miles of corporate jargon hunting for key words and patterns can consume considerable time and resources," said Muraskin. "By teaming with Kira Systems we can help organizations reduce their review time while redeploying talent to higher value activities--let's save our eyes for more strategic matters." Noah Waisberg, CEO of Kira Systems, said recent innovations by his company, such as Kira Quick Study, are graduating machine learning to new levels of accomplishment.

Office work is also set to change. Earlier this week, Blue Prism announced plans to debut on the London Stock Exchange. The company, which grew 35 percent in 2015, develops "software robots" which can perform clerical and administration tasks. "Software robots have been deployed successfully and strategically by large, blue chip organizations that have derived tremendous value from this new solution to the labor market," said Alastair Bathgate, the company's co-founder and CEO, in a press release. However, workers should not be overly worried.

New lip-reading technology developed at the University of East Anglia could help in solving crimes and provide communication assistance for people with hearing and speech impairments. The visual speech recognition technology, created by Dr Helen L. Bear and Prof Richard Harvey of UEA's School of Computing Sciences, can be applied "any place where the audio isn't good enough to determine what people are saying," Dr Bear said. Dr Bear, whose findings will be presented at the International Conference on Acoustics, Speech and Signal Processing (ICASSP) in Shanghai on March 25, said unique problems with determining speech arise when sound isn't available – such as on CCTV footage – or if the audio is inadequate and there aren't clues to give the context of a conversation. The sounds '/p/,' '/b/,' and '/m/' all look similar on the lips, but now the machine lip-reading classification technology can differentiate between the sounds for a more accurate translation. Dr Bear said: "We are still learning the science of visual speech and what it is people need to know to create a fool-proof recognition model for lip-reading, but this classification system improves upon previous lip-reading methods by using a novel training method for the classifiers. "Potentially, a robust lip-reading system could be applied in a number of situations, from criminal investigations to entertainment.