Qualcomm’s Snapdragon 888 is an AI and computer vision powerhouse

Although Apple’s latest A14 Bionic chip enabled the iPhone 12 family and iPad Air tablets to deliver impressive performance improvements, Qualcomm is making clear that the next generation of Android devices will rely heavily on advanced AI and computer vision processors to retake the performance lead. Teased yesterday at Qualcomm’s virtual Tech Summit, the Snapdragon 888 is getting a full reveal today, and the year-over-year gains are impressive, notably including the largest jump in AI performance in Snapdragon history.

The Snapdragon 888’s debut is significant for technical decision makers because the chip will power most if not all of 2021’s flagship Android phones, which collectively represent a large share of the over two billion computers sold globally each year. Moreover, the 888’s increasing reliance on AI processing demonstrates how machine learning’s role is now critical in advancing all areas of computing, ranging from how devices work when they’re fully on

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Computer Vision Market Analysis with Key Players, Applications, Trends and Forecasts to 2027

The MarketWatch News Department was not involved in the creation of this content.

Dec 01, 2020 (Market Insight Reports) —
Selbyville, Delaware Market Study Report LLC recently added a new title on 2020-2027 Global Computer Vision Market Report from its database. The report provides study with in-depth overview, describing about the Product, market size, share, Industry Scope and elaborates market outlook and status to 2027.

Global Computer Vision Market is valued approximately at USD 11 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 7.8% over the forecast period 2020-2027. A computer vision is a field of artificial intelligence that develops, processes, and examines real-world images to generate symbolic or numerical information, frequently in the way of a decision. Using digital images from videos and cameras and deep learning models, machines can precisely detect and categorize objects. From the viewpoint of engineering, computer

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AI In Computer Vision Market 2020 Research, Key Players, Industry Overview, Supply and Consumption Analysis 2023

The MarketWatch News Department was not involved in the creation of this content.

Dec 01, 2020 (AmericaNewsHour) —
Market Synopsis

The AI In Computer Vision Market is estimated to record a significant growth throughout the forecast period. The ICT sector constitutes 4.8% of the European economy. Europe’s organization ERDF i.e. European Regional Development Fund has allotted approximately USD 23 billion for investments related to ICT during the funding period 2014-2020. ICT refers to the communication technologies including the internet, wireless networks, social networking, cell phones, video-conferencing, computers, software, and other media applications and services enabling users to access, retrieve, and manipulate information in a digital form.

As per the Eurostat, the total value of the ICT sector in Europe, including the ICT manufacturing and ICT services, was estimated to be more than EUR 475 billion in 2017. In this sector, the ICT services account for the major share as it

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Europe Computer Vision Market (2020 to 2026) – by Product Type, Component, Application, Vertical and Country

Dublin, Nov. 27, 2020 (GLOBE NEWSWIRE) — The “Europe Computer Vision Market by Product Type, Component, Application, Vertical and Country: Industry Analysis and Forecast 2020-2026” report has been added to ResearchAndMarkets.com’s offering.

The Europe Computer Vision Market is expected to witness market growth of 9.4% CAGR during the forecast period (2020-2026).

Computer Vision is one of the applied fields of Computer Science and Artificial Intelligence that offers a visual understanding of the globe through computers. It is mainly concerned with the theory and technology that are designed for structuring the artificial systems. These systems contain important information from images or multi-dimensional data. Computer vision is largely concerned with the automatic extraction, understanding, and analysis of meaningful data from a single image or a sequence of multiple images. It comprises the development of an algorithmic and theoretical basis to achieve understanding through automatic visual.

Computer vision technology is principally being adopted

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Europe Computer Vision Market (2020 to 2026) – by Product Type, Component, Application, Vertical and Country – Press Release

Dublin, Nov. 27, 2020 (GLOBE NEWSWIRE) — The “Europe Computer Vision Market by Product Type, Component, Application, Vertical and Country: Industry Analysis and Forecast 2020-2026” report has been added to ResearchAndMarkets.com’s offering.

The Europe Computer Vision Market is expected to witness market growth of 9.4% CAGR during the forecast period (2020-2026).

Computer Vision is one of the applied fields of Computer Science and Artificial Intelligence that offers a visual understanding of the globe through computers. It is mainly concerned with the theory and technology that are designed for structuring the artificial systems. These systems contain important information from images or multi-dimensional data. Computer vision is largely concerned with the automatic extraction, understanding, and analysis of meaningful data from a single image or a sequence of multiple images. It comprises the development of an algorithmic and theoretical basis to achieve understanding through automatic visual.

Computer vision technology is principally being adopted

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Hasty raises $3.7M in funding to speed up computer vision AI training

Artificial intelligence startup Hasty GmbH said today it has nabbed $3.7 million in seed funding as it looks to speed up the development of its next-generation annotation tool for computer vision.

Shasta Ventures led the seed funding round, together with participation from coparion and iRobot Ventures.

Hasty has built an annotation tool that’s used to train vision AI models that are used by computers to understand what they’re seeing when presented with an image or video. In order for a computer to know what it’s seeing, the content of the image or video needs to be labeled, so it can “see” different objects or human faces and read text, for example.

But data labeling is a laborious task, and it’s hindered by the fact that most vision AI models don’t train and update themselves during this process. Indeed, Hasty says that around 80% of a data scientist’s time is spent

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Computer Vision Market Size Worth $19.1 Billion By 2027 | CAGR: 7.6%: Grand View Research, Inc.

SAN FRANCISCO, Nov. 23, 2020 /PRNewswire/ — The global computer vision market size is expected to reach USD 19.1 billion by 2027, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 7.6% from 2020 to 2027. This technology has emerged as an emulation of a human visual system to support the automation tasks that require visual cognition. However, the process of image deciphering is more complicated than analyzing data in a binary form due to the vast amount of multi-dimensional data in an image for analysis. Artificial neural networks and deep learning are being used to increase computer vision’s capabilities of replicating human vision, to address such complexity in developing AI systems to recognize visual data. Besides, this technology has become more adept at pattern recognition than the human visual cognitive system, with the advents in

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Defense Innovation Unit (DIU) Selects Immervision InnovationLab to Develop a Computer Vision Wide Angle Camera for the Blue UAS Framework Project

MONTREAL–(BUSINESS WIRE)–Immervision, the Montreal-based leader in wide-angle intelligent vision, today announced it has received an award from the Defense Innovation Unit (DIU), part of the U.S. Department of Defense (DoD) for a Blue UAS Framework effort.

The Immervision InnovationLab team is developing a wide-angle computer vision camera for small Unmanned Aerial Systems (sUAS), enabling advanced low-light vision for Blue UAS Framework effort which provides affordable, trusted, high performing, and interoperable UAS drone technologies for commercial and defense applications.

“We are honored that the Defense Innovation Unit has chosen Immervision’s InnovationLab to create this innovative wide angle computer vision camera optimized for drones in low light vision and autonomous flight,” said Alessandro Gasparini, Executive Vice President, Operations and Chief Commercial Officer of Immervision. “Immervision’s technology has been widely adopted in aerospace, surveillance systems and for consumer electronics for over 20 years. We look forward to working with the DIU

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Top Independent Research Firm Names EPAM a Leader in Computer Vision Consultancy

NEWTOWN, Pa., Nov. 23, 2020 /PRNewswire/ — EPAM Systems, Inc. (NYSE: EPAM), a leading global provider of digital platform engineering and software development services, today announced they have been named a leader in The Forrester New Wave™: Computer Vision Consultancies, Q4 2020—recognized alongside 12 other vendors in the report, and one of three leaders that stand out for their track record of delivering a wide range of innovative, demanding CV solutions that have been put into product with numerous clients and are driving business outcomes on an ongoing basisi.

The report found that, “even tech giants with in-house CV experts turn to EPAM to deliver innovative CV solutions, and the company has a track record of delivering CV solutions that span the prosaic (e.g., asset tracking and invoice processing) to the extraordinary (e.g., CV-enabled augmented reality apps for field service).”

The Forrester report states that EPAM “should

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Computer Vision Market Size Worth $19.1 Billion By 2027

SAN FRANCISCO, Nov. 23, 2020 /PRNewswire/ — The global computer vision market size is expected to reach USD 19.1 billion by 2027, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 7.6% from 2020 to 2027. This technology has emerged as an emulation of a human visual system to support the automation tasks that require visual cognition. However, the process of image deciphering is more complicated than analyzing data in a binary form due to the vast amount of multi-dimensional data in an image for analysis. Artificial neural networks and deep learning are being used to increase computer vision’s capabilities of replicating human vision, to address such complexity in developing AI systems to recognize visual data. Besides, this technology has become more adept at pattern recognition than the human visual cognitive system, with the advents in

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