Press Release
Nervana Systems Named A 'Cool Vendor' By Gartner
"The Nervana team is developing a full-stack deep learning platform to enable organizations to use deep learning to tackle previously unsolvable problems. We believe our inclusion in the Cool Vendor report by Gartner validates our mission to make scalable artificial intelligence widely accessible and to enable disruptive new applications across a range of industries," said Naveen Rao, co-founder and CEO of Nervana. In February, Nervana launched Nervana Cloud, a full-stack hosted platform for deep learning. Based on neon, Nervana's open source deep learning framework, Nervana Cloud helps businesses develop and deploy high-accuracy deep learning solutions at a fraction of the cost of building their own infrastructure and data science teams. Utilizing the Nervana Engine, an application specific integrated circuit (ASIC) that is custom-designed and optimized for deep learning, Nervana Cloud has been optimized down to the silicon to handle the most complex machine learning training at scale.
This five-fingered robot hand learns to get a grip on its own
This five-fingered robot hand can learn how to perform dexterous manipulation -- like spinning a tube full of coffee beans -- on its own, rather than having humans program its actions.University of Washington Robots today can perform space missions, solve a Rubik's cube, sort hospital medication and even make pancakes. But most can't manage the simple act of grasping a pencil and spinning it around to get a solid grip. Intricate tasks that require dexterous in-hand manipulation -- rolling, pivoting, bending, sensing friction and other things humans do effortlessly with our hands -- have proved notoriously difficult for robots. Now, a University of Washington team of computer scientists and engineers has built a robot hand that can not only perform dexterous manipulation but also learn from its own experience without needing humans to direct it. Their latest results are detailed in a paper to be presented May 17 at the IEEE International Conference on Robotics and Automation.
MIT Technology Review Announces Final Schedule for Upcoming Artificial Intelligence Conference
The list of featured speakers includes innovators, business leaders, and entrepreneurs from the Allen Institute for Artificial Intelligence, Amazon Robotics, Baidu, Facebook, GE Software Research, Google, IBM, Pinterest, Tesla, and more. About MIT Technology Review Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a digitally oriented independent media company whose analysis, features, reviews, interviews, and live events explain the commercial, social, and political impact of new technologies. MIT Technology Review readers are curious technology enthusiasts--a global audience of business and thought leaders, innovators and early adopters, entrepreneurs and investors. Every day, we provide an authoritative filter for the flood of information about technology. We are the first to report on a broad range of new technologies, informing our audiences about how important breakthroughs will impact their careers and their lives.
Press Release: Smart Data Online Conference Includes Talks on Machine Learning, Cognitive Computing, and Artificial Intelligence - DATAVERSITY
DATAVERSITY Education, LLC announced the agenda and opened registration for the company's newest online conference, Smart Data Online (SDO). The event will be held online at smartdataweek.com on July 13th, 2016 from 8:00 am to 2:20 pm Pacific Time. Registration is free and attendees will receive access to the on demand recordings, slides, and materials following the event. SDO is the newest event to be added to DATAVERSITY's educational programs, and is designed to provide guidance on executing and implementing a successful data strategy using new technologies in the fields of machine learning, cognitive computing, and artificial intelligence. Throughout the day on July 13th there will be six, 40-minute presentations, each followed by a 10 minute "Q & A" discussion with the presenter(s).
Capgemini drives artificial intelligence into its Business Services solutions through global collaboration and 3-year contract with Celaton Press release
Celaton's inSTREAM software streamlines the handling of unstructured unpredictable (and structured) content such as correspondence, claims, complaints and invoices that organizations receive by email, social media, fax and paper. This minimizes the need for human intervention and ensures that only accurate, relevant and structured data enters business systems. Unique to inSTREAM is its ability to learn through the natural consequence of processing information and collaborating with people. Capgemini's extensive knowledge and experience in business process services will also enable Celaton to accelerate and improve inSTREAM's capabilities. The cooperation will enable Capgemini to increase efficiency, shorten turnaround times and enhance quality in areas where incoming documents and queries need to be processed, improving overall customer satisfaction.
Completely Self-Service Machine Learning and Data Matching
Troparé has developed the ability for its clients to discover unbiased patterns, insights, and trends in their data; perform thorough analysis; and use this information to make accurate, micro-targeted predictions, all without having to write a single line of code. As a result, marketing and sales departments can attract, retain, and grow their most profitable customers and maximize campaign spending, without having to rely on IT. "Data has become the new life-line of modern day marketing. However, unless marketing departments have the tools to unify data and perform correct analysis on a large scale, simply having enormous amounts of data is useless without tremendous reliance on IT," said Greg Carpenter, CEO of Troparé. The second platform addition, (fuzzy) data matching & appending, is developed as an extension to the industry's widely-acknowledged struggle of data integration. The solution allows customers to easily combine, match, and append their own data with second and/or third party data derived from disparate sources.
Accenture to Acquire OPS Rules to Expand Its Machine Learning and Operations Analytics Capabilities that Help Deliver Data-Driven Transformation
WIRE)--Accenture (NYSE:ACN) is expanding its machine learning and operations analytics capabilities by acquiring OPS Rules, a boutique analytics consulting company that specializes in the application of data science to create supply chain and operations analytics solutions. When the acquisition is completed, Accenture will add new operations analytics professionals to its team that apply machine learning and optimization techniques to develop fresh and innovative analytics approaches for clients across many industries. Terms of the transaction were not disclosed. Founded in 2012, OPS Rules has offices in Waltham, Massachusetts and Richardson, Texas. OPS Rules is led by David Simchi-Levi, a Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) and renowned supply chain and operations analytics expert.
Connected Lab to Host Hackathon to build Chatbots for Smart Devices
The IBM Watson IoT Platform allows people to securely and easily connect devices, from chips and intelligent appliances, to applications and industry solutions, and use cognitive services including natural language processing and machine learning for deep insights into hidden or "dark" data for innovation and transformation. The platform also provides the ability to analyze sensor data from billions of devices, to better forecast weather events, for example. During the hackathon, developers will use IBM Watson IoT cognitive APIs and smart devices to create conversational interfaces like chatbots. "People are excited about chatbots because they see the potential to interact with technology using conversational language," said Damian McCabe, VP Engineering at Connected Lab. "As an IBM alumni, I'm excited about the potential of the IBM Watson's cognitive capabilities including natural language processing and machine learning. At the hackathon, developers will use this powerful platform to build more human ways for people to use innovative technology."
Smart Data Online 2016
The Smart Data Online Conference will bring together the insights and training that are helpful in navigating new technologies shared across data management topics such as machine learning, cognitive computing, and artificial intelligence to name a few. It is in this event that we can connect you, the attendee, with the speakers who are working successfully with these new technologies in their daily positions.
Humanyze gets 4 mln from Romulus Capital in Series A - PE HUB
Humanyze has rolled out Wyze, its flagship product that is designed to measure social interactions and improve teamwork and processes in companies. BOSTON–(BUSINESS WIRE)–Humanyze, the global leader in people analytics technology, announced 4M in Series A financing today from Romulus Capital. The announcement comes as Humanyze rolls out the first of its kind Wyze people analytics platform to its strong Fortune 500 customer base in the US and industry leaders in Japan with the goal of making large corporations more agile and accurate about their most valuable resource (people), and to make these same people more in control of their performance and improvement. "Our customers – which include the largest multinationals and consulting firms – are investing heavily in technology and personnel to make full use of our data-driven people analytics platform. Employees are almost universally opting in as they see the individual benefits. These additional resources from Romulus provide us strong footing to support new customers and grow with them over the long term," Humanyze CEO Ben Waber said.