Cloud Computing, AI Processing, and IoT are Driving Forces Behind the Future Growth of the Cloud Robotics Market While the global cloud robotics market is at a nascent stage of development, companies are becoming aware of its growing importance and are in the early stages of understanding what cloud robotics is, how it works, and […]
Head-Mounted Displays, Assisted Reality Glasses, Mixed Reality Holographic Displays, and Smart Helmets Will All Play a Role in Market Development The global market for smart augmented reality (AR) glasses has struggled to take off after a few years of pilots, implementations, and a lot of hype. There have been growing pains, as the reality of the state
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Numerous customer service applications – from manufacturing to order fulfillment – require recognition of faces and objects. Customer service robots need to recognize faces and associate them with customer data to provide personalized assistance. Tasks that
Robots Learning to Recognize Faces and Objects Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Microsoft announced on July 22 that it plans to invest $1 billion in OpenAI, a research organization working on artificial general intelligence (AGI). The Microsoft OpenAI announcement mentioned the co-development of Azure AI supercomputing technologies focused
Microsoft’s OpenAI Deal Puts Spotlight on Access to High End AI Compute Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Enterprises have been using analytical machine learning (ML) techniques for years to solve business problems related to making predictions on raw data. Today, perception-based techniques driven by deep learning and neural networks are gaining traction around
Machine Learning Developers Face Data and IT Integration Challenges Read More +
The automotive industry is on the verge of a revolution with the gradual development of self-driven vehicles. Over the past decade, OEMs, tier 1 manufacturers, and tier 2 manufacturers have been constantly developing new and advanced safety features to make a vehicle more autonomous, which is further leading to high purchases of such vehicles. Considering
Global Vision and Navigation System Market for Autonomous Vehicle – 2019-2024 Read More +
Rudy Burger, Managing Partner at Woodside Capital Partners, presents the "What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?" tutorial at the May 2019 Embedded Vision Summit. So far, over $100B has been invested by industry into the development of autonomous vehicles (AVs), and the pace of investment has recently accelerated. In this talk, Burger presents
AI SoC automotive unit volume will surpass 2.8 billion units by 2023, says Semico Research AI is ready to make an impact in a long list of industries and applications. The initial round of AI adoption occurring today involves the replacement of existing SoC solutions with new silicon solutions that incorporate some level of AI
Artificial Intelligence: Powering the Next Generation of Growth Read More +
This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Intel held its Analyst Event for European analysts during June. Some of Tractica’s observations are discussed below. First impressions and highlights of the event: The recent Analyst Event in London provided a good overview of Intel’s
Intel Is Tackling the Challenges of the Intelligence Era Read More +
NVIDIA, Intel, NXP, Apple, and Google top the A-List in AI Chipset Index based on recently released research by Compass Intelligence. The 2019 A-List in AI (artificial intelligence) Chipset Index includes companies providing software and hardware components of AI chipsets. AI chipset products include central processing units, graphic processing units, neural network processors, application specific
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