Tag Archive for: vision

Cyber Security Market Trend, Analysis, COVID-19 Impact, Future Forecast 2027 by Global Market Vision


Cyber SecurityGlobal Cyber Security Market: Introduction

The Global Cyber Security Market report serves as a brilliant investment guide to deliver core information on diverse market elements such as customer motivators, customer response and behavior, brand developments and positioning across the competitive isle. The report is designed to aid the investment decisions and motivate crucial investment discretion for new businesses looking out for seamless market penetration.

The report is focused at delivering a high-end replication of all major growth facets across the competition ecosystem in order to ensure ample competitive edge for inquisitive market participants. Highly interested market participants and established international vendors may refer to this research report to design and deploy agile investment decisions.

Top Key Players of the Market: Amazon Web Services, Cisco Systems, Computer Sciences Corporation, Google, IBM Corporation, Microsoft Corporation, NTT Data Corporation, VMware, WSM International LLC.

Types covered in this report are: On-premise, Cloud-based

Applications covered in this report are: SMBs, Large Enterprises

Request a Sample of this report at: https://www.globalmarketvision.com/sample_request/4258

Regional Outlook: Global Cyber Security Market

The report in its attempt to instigate high growth proficient business decisions has isolated Europe, APAC, MEA, North and Latin America as prominent growth hotspots. These aforementioned areas have been assessed to gauge into exclusive details concerning technological developments globally and their subsequent implications in growth prognosis. This section of the report also isolates specific region witnessing maximum vendor activities and developments across production and consumption patterns that instill healthy investment returns.

Various constraints and challenges that shrink growth prospects have been meticulously highlighted. Various insightful details on expert opinions of professional analysts have been highlighted in particular to comprehend Cyber Security market conditions in inappropriate ways. The report also includes various segment-specific information, identifying type and application as the most…

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A Wave Of Billion-Dollar Computer Vision Startups Is Coming


Computer vision is the most technologically mature field in modern artificial intelligence. This is about to translate into enormous commercial value creation.

The deep learning revolution has its roots in computer vision. At the now-historic 2012 ImageNet competition, Geoff Hinton and team debuted a neural network—a novel architecture at the time—whose performance eclipsed all previous efforts at computer-based image recognition. The era of deep learning was born, with computer vision as its original use case. In the decade since, computer vision capabilities have raced forward at a breathtaking pace.

To put it simply, computer vision is the automation of human sight. Sight is mankind’s most important sense; it underlies much of human life and economic activity. The ability to automate it therefore opens up massive market opportunities across every sector of the economy.

(To be sure, other areas of AI—natural language processing, for instance—have also become increasingly powerful in recent years. But core technology breakthroughs in NLP have come more recently, and as a result NLP remains more nascent from a product and commercial perspective.)

The first wave of entrepreneurial activity in modern computer vision centered on autonomous vehicles. Several startup success stories in that field, including computer vision pioneer Mobileye’s $15.3 billion sale to Intel in 2018, highlight the technology’s power to transform markets and unlock massive economic value.

Today, computer vision is finding applications across every sector of the economy. From agriculture to retail, from insurance to construction, entrepreneurs are applying computer vision to a wide range of industry-specific use cases with compelling economic upside.

Expect to see many computer vision startups among the next generation of “unicorns.” A crop of high-growth computer vision companies is nearing an inflection point, poised to break out to commercial scale and mainstream prominence. It is an exciting and pivotal time in the technology’s…

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Computer vision mobile app can regularly monitor diabetes, IT News, ET CIO


London, University of Cambridge engineers has developed a computer vision technology into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.

The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile phone.

The technology, which doesn’t require an internet or Bluetooth connection, works for any type of glucose meter, in any orientation and in a variety of light levels.

It also reduces waste by eliminating the need to replace high-quality non-Bluetooth meters, making it a cost-effective solution to the National Health Service (NHS).

Working with UK glucose testing company GlucoRx, the Cambridge researchers developed the technology into a free mobile phone app called GlucoRx Vision, which is now available on the Apple App Store and Google Play Store.

To use the app, users simply take a picture of their glucose meter and the results are automatically read and recorded, allowing much easier monitoring of blood glucose levels.

In addition to the glucose meters, many other types of digital meters are used in the medical and industrial sectors.

“These meters work perfectly well, so we don’t want them sent to landfill just because they don’t have wireless connectivity,” said Dr James Charles from Cambridge’s Department of Engineering.

“We wanted to find a way to retrofit them in an inexpensive and environmentally-friendly way using a mobile phone app”.

The computer vision technology behind the GlucoRx app is made up of two steps.

First, the screen of the glucose meter is detected.

The researchers used a single training image and augmented it with random backgrounds, particularly backgrounds with people.

This helps ensure the system is robust when the user’s face is reflected in the phone’s screen.

Second, a neural network called LeDigit detects each digit on the screen and reads it.

The network is trained with computer-generated synthetic data, avoiding the need for labour-intensive labelling of data which is commonly needed to train a neural network.

“Since the font on these meters is digital, it’s easy to train the neural network to recognise lots of…

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News round-up: Cineflix expands ‘Storm Stories’; Showtime orders gossip docuseries; HBO preps cyber warfare doc – TBI Vision

News round-up: Cineflix expands ‘Storm Stories’; Showtime orders gossip docuseries; HBO preps cyber warfare doc  TBI Vision
“cyber warfare news” – read more