Results


8x8 Acquires MarianaIQ to Strengthen AI Capabilities for Enterprise Communications

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WIRE)-- 8x8, Inc. (NYSE:EGHT), a leading provider of cloud phone, meeting, collaboration and contact center solutions, today announced the acquisition of MarianaIQ (MIQ), a high-growth Silicon Valley startup, as part of the strategic investments it has been making in AI and Machine Learning. MIQ brings deep learning capabilities to the newly announced X Series to transform both employee and customer experience. The MIQ team, including founders Soumyadeb Mitra and Venkat Nagaswamy, have been leaders in applying AI and deep learning to practical business problems since 2013, and join 8x8 to strengthen AI capabilities for enterprise communications. "8x8 has continuously evolved itself to provide best-in-class enterprise communications to our customers. With the acquisition of MarianaIQ, we are fundamentally transforming how customers and employees interact through one system of engagement, and how companies optimize valuable moments of customer engagement with one set of data in one system of intelligence," said Dejan Deklich, Chief Product Officer, 8x8.


Intel Starts R&D Effort in Probabilistic Computing for AI

IEEE Spectrum Robotics Channel

Intel announced today that it is forming a strategic research alliance to take artificial intelligence to the next level. Autonomous systems don't have good enough ways to respond to the uncertainties of the real world, and they don't have a good enough way to understand how the uncertainties of their sensors should factor into the decisions they need to make. According to Intel CTO Mike Mayberry the answer is "probabilistic computing", which he says could be AI's next wave. IEEE Spectrum: What motivated this new research thrust? Mike Mayberry: We're trying to figure out what the next wave of AI is.


Intel Editorial: One Simple Truth about Artificial Intelligence in Healthcare: It's Already Here

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SAN FRANCISCO--(BUSINESS WIRE)--The following is an opinion editorial provided by Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation. In the wide world of big data, artificial intelligence (AI) holds transformational promise. Everything from manufacturing to transportation to retail to education will be improved through its application. But nowhere is that potential more profound than in healthcare, where every one of us has a stake. What if we could predict the next big disease epidemic, and stop it before it kills?


IBM's new AI toolbox puts your deep learning network to the test

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IBM today announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they're able to withstand real-world conditions. The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The company says it's the first of its kind. One of the biggest challenges with some of the existing models to defend against adversarial AI is they are very platform specific.


New O'Reilly Survey Results Shed Light on Artificial Intelligence Skills Gap

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BOSTON--(BUSINESS WIRE)--O'Reilly, the premier source for insight-driven learning on technology and business, today announced the results of its 2018 Artificial Intelligence (AI) survey, "How Companies Are Putting AI to Work Through Deep Learning." Focused on deep learning, a technique used primarily for supervised machine learning, the survey explores the adoption of tools and techniques to build AI applications and the barriers that hinder business adoption. Findings suggest that the democratization of AI and deep learning applications will continue, as development tools and libraries improve. However, the shortage of AI-trained engineers and developers will persist. For example, while 54% of respondents indicated AI will play a big role (35%) or essential role (19%) in their organization's future projects, lack of skilled people was the number one bottleneck reported.


Applexus Launches Artificial Intelligence Practice to Expand Products and Services Offerings

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SEATTLE, April 05, 2018 (GLOBE NEWSWIRE) -- Applexus Technologies, a full-service business and technology solutions company based in the Seattle area, announced the launch of a new Artificial Intelligence (AI) practice to provide AI software and services to clients. The newly launched team is part of Applexus Product and Innovation. The new practice supports a wide variety of AI services and solutions, through custom and packaged solutions, using emerging technologies such as deep learning, machine learning and big data analysis. The Applexus Chief Technologist and AI practice leader is Dr. Thomas Koickal, one of the longest-serving global practitioners of machine learning based technologies. His career of more than 20 years has included work at the University of Edinburgh, UK and Vikram Sarabhai Space Centre, a research center of the Indian Space Research Organization.


Adobe and Nvidia expand partnership for Sensei AI ZDNet

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Adobe and Nvidia have announced a partnership that will see both companies deliver new artificial intelligence (AI) and deep learning services for Adobe Creative. Making the announcement during the Adobe Summit keynote in Las Vegas on Wednesday, Adobe CEO and president Shantanu Narayen was joined by Nvidia founder and CEO Jensen Huang. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. The CEOs said the partnership will see both companies work to optimise the Adobe Sensei AI and machine learning framework for Nvidia GPUs.


NAB Show Conference Showcases Machine, Deep Learning and Artificial Intelligence for Filmmaking

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WASHINGTON--(BUSINESS WIRE)--NAB Show will present a new half-day program within the Next-Generation Media Technologies Conference titled "Get Ready for Machine Learning and Artificial Intelligence." The program, which takes place Tuesday, April 10, from 9 a.m. to 12 p.m. at the Las Vegas Convention Center, will include six sessions that highlight the various ways machine intelligence is impacting content creation. The panels will explore how machine intelligence can increase productivity, efficiencies and creativity in production planning, animation, visual effects, post-production and localization. Attendees will learn the current capabilities of neural network-based tools while also seeing the potential of these innovations to alter jobs, workflows and the nature of content itself. The program will begin with the presentation "The Evolution of Content Production Aided by Machine Learning," by Usman Shakeel, WW Technical Leader, Media and Entertainment at Amazon Web Services.


Adobe and Nvidia expand partnership for Sensei AI

ZDNet

Adobe and Nvidia have announced a partnership that will see both companies deliver new artificial intelligence (AI) and deep learning services for Adobe Creative. Making the announcement during the Adobe Summit keynote in Las Vegas on Wednesday, Adobe CEO and president Shantanu Narayen was joined by Nvidia founder and CEO Jensen Huang. Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. The CEOs said the partnership will see both companies work to optimise the Adobe Sensei AI and machine learning framework for Nvidia GPUs.


Nokia's new AI-powered analytics software dramatically improves customer experience and satisfaction Nokia

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Espoo, Finland - Nokia has unveiled the latest version of its Cognitive Analytics for Customer Insight software, providing powerful new capabilities so service provider business, IT and engineering organizations can consistently deliver a superior real-time and personalized customer experience. Nokia Cognitive Analytics for Customer Insight provides a holistic, real-time view of the customer experience to help service providers quickly identify issues and prioritize improvements based on their customer and business impact. It features Nokia's Customer Experience Index (CEI), which correlates information from the network, devices, customer care, billing and other sources with satisfaction surveys like the Net Promoter Score to produce a customer-specific score that tracks service performance and subscriber satisfaction. In this latest release, Nokia CEI now taps advanced machine learning and deep learning algorithms co-developed with Nokia Bell Labs to provide new levels of prediction and automation capabilities to improve the subscriber experience. The algorithms optimize themselves over time, decreasing the time required for the initial tuning of the index from months to days, and delivering a far more accurate view of subscriber satisfaction.