Category: Artificial Intelligence

Feed: Feed | Tractica. Author: . High mask costs made it hard for chipset startups to raise capital during the early 2000s. Today, mask costs can range up to $25 million and, by some estimates, the design costs for a 12-nanometer (nm) node chip can run as high as $174 million. This made it hard for investors to justify the return on investment (ROI), as most of them demanded a 10X return. Only a few markets offered high volumes for chipsets to generate that kind of revenue. The emergence of AI has opened up many new possibilities for AI chipsets ... Read More

Feed: Blue Medora. Author: Chuck Petrie. Providing choice and flexibility in the ways a business transacts with its customers is a table-stakes expectation. Increasingly, that translates to delivering products as services with limited upfront costs, lower adoption risk and future flexibility. In addition to the benefits of an Opex model, more and more companies are also choosing to “unbundle” products from rigid or arbitrary configurations that don’t align well to business initiatives. One of our core values as a company is being customer-focused. Today, Blue Medora is excited to announce True Visibility Subscription. True Visibility Subscription allows customers the flexibility ... Read More

Feed: Apple Machine Learning Journal. Author: . The typical audio environment for HomePod has many challenges — echo, reverberation, and noise. Unlike Siri on iPhone, which operates close to the user’s mouth, Siri on HomePod must work well in a far-field setting. Users want to invoke Siri from many locations, like the couch or the kitchen, without regard to where HomePod sits. A complete online system, which addresses all of the environmental issues that HomePod can experience, requires a tight integration of various multichannel signal processing technologies. Accordingly, the Audio Software Engineering and Siri Speech teams built a system that ... Read More

Feed: Feed | Tractica. Author: . Qualcomm is betting on device-based AI. Its new $100 million startup fund announced on November 28 includes a dedicated focus on the edge and device-based AI. The fund will focus on startups that are advancing the cause of device-based AI covering autonomous cars, robotics, computer vision, and the Internet of Things (IoT), cutting across applications, platforms, and machine learning technologies. Qualcomm has been largely conservative with its AI strategy, so far, compared to what Intel, NVIDIA, Arm, or even the smartphone vendors have been doing. For the most part, Qualcomm has been calling for ... Read More

Feed: Blue Medora. Author: Moria Fredrickson. The Blue Medora team took a break last week to reflect on all there is to be thankful for in our lives. The week wasn’t just filled with family and friends. We also took some time to think about our extended Blue Medora family and how appreciative we are for our hundreds of customers who continue to push us to deliver the next-generation data collection strategy they desire. Improve container resourcing As containers in production are now common in most large enterprises, but those organizations who rely on central operations and infrastructure teams still ... Read More

Feed: Feed | Tractica. Author: . Deep learning is a buzzword that has been hyped by the business and technical press for years, often with relatively meager results that failed to live up to expectations. But over the past 18 months, according to a new report from Tractica, the true power of deep learning has been realized, thanks to advances in hardware and algorithms that use pattern recognition applied in a continuous learning loop, enabling them to train themselves to perform tasks without requiring explicit programming code. Indeed, according to Tractica’s analysis, some of the most successful deep learning use ... Read More

Feed: Feed | Tractica. Author: . The first AI Summit in Africa was held in Cape Town in South Africa during the second week of November. Tractica chaired the proceedings of the 2-day AI conference and presented on the African AI opportunity. The AI Summit Cape Town was part of the larger AfricaCom event, which is an annual gathering of the African telecom ecosystem, but looks at the broader information and communications technology (ICT) landscape in Africa, covering areas like the Internet of Things (IoT), mission critical technologies, smart cities, digital media, fintech, and digital transformation of the enterprise sector ... Read More

Feed: Alation. Author: Ron Powell. Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. Andreas leads the team responsible for setting up a group-wide data platform and supports the transformation of Munich Re to a data-driven organization.Andreas, can you provide our audience with a little background regarding Munich Re? Andreas Kohlmaier: Munich Re is a group so we are not just about reinsurance. We also have some primary insurance entities in the group, but the main thing about reinsurance is ... Read More

Feed: Feed | Tractica. Author: . At the Huawei Connect 2018 conference, apart from announcing a broad full-stack AI strategy, Huawei also talked about upcoming support for on-device training capabilities for its Ascend Lite chipset that is targeted at smartphones supporting 1 to 2 watts (W) of power and AI models of 10 megabytes (MB) and above. In fact, as part of its Ascend chipset portfolio that spans the device, network edge, and cloud, all chipsets above 1 W will support training on the device, which includes Ascend Lite, Mini, and Max. Although details were not provided, on-device training is ... Read More

Feed: Feed | Tractica. Author: . The application of reinforcement learning (RL) in an enterprise context has been limited. Back in 2017 when Tractica blogged about RL in the enterprise, it was mostly about exploring use cases and development platforms. For the most part, RL has been applied in manufacturing, energy, building automation, or automotive settings, related to optimizing and improving the performance of autonomous machines or control systems that can be simulated in a RL-infused environment. Rather than have an AI model learn from a predefined dataset and spot patterns in the data, RL enables AI to learn from ... Read More