It also provides rigorous Deep Learning System study on the market spike, categorization, and revenue evaluation. This report provides market position from the reader's viewpoint, providing certain Deep Learning System market statistics and business hunch. The global Deep Learning System market serves past and futuristic information about the industry. It also contains company profiles of every Deep Learning System market player, scope, profit, product specification, cost, and so on. Major market vendors comprise in the Worldwide Deep Learning System market research report: Alphabet Inc., Berkeley Vision and Learning Center (BVLC), Facebook, Inc., LISA lab, Microsoft, Nervana Systems, General Vision Inc., Sensory, Inc., Nvidia Corporation, Skymind The geological regions included in the Deep Learning System report: Europe, Asia-Pacific, Africa, The Middle East, North America and Latin America.
Evolving technology, best practice and landmark evidence in glaucoma care were reviewed by an international expert faculty in session presentations and debates during the 11th Moorfields International Glaucoma Symposium 2019. The authors were meeting chairs and provide an overview of symposium proceedings. Hans Lemij, Rotterdam Eye Hospital, the Netherlands, discussed glaucoma optical coherence tomography (OCT) imaging and automated segmentation issues, noting several common image artefacts. Paul Foster highlighted research by the UK Biobank Eye and Vision Consortium related to cognitive function and the expanding use of OCT imaging in dementia and neurodegeneration research. Findings show that a thinner retinal nerve fibre layer (RNFL) is associated with worse cognitive function in individuals without known neurodegenerative disease, as well as a greater likelihood of future cognitive decline . The Rotterdam Study also revealed an association of retinal neurodegeneration on OCT with an increased risk of dementia, including Alzheimer's disease .
As in just about every area of the health and fitness market, technology is increasingly infiltrating yoga, with startups and investors pushing to capitalize on the $80 billion market. Last year, Germany-based Asana Rebel raised more than $17 million from notable backers that include Greycroft to grow its virtual yoga platform, while New York's Mirror has raised sizable funding rounds for a connected mirror that delivers virtual fitness classes, such as yoga and Pilates. Zenia recently entered the fray with a mobile app that leverages machine learning, computer vision, and motion tracking with the promise of helping improve your yoga poses. The company calls it "the world's first AI-powered yoga assistant," and plans to expand its technology to cover all areas of health and fitness. Zenia was officially founded out of Belarus in May of this year by software engineer Alexey Kurov, and the company has secured an undisclosed investment from such notable backers as Misha Lyalin, CEO and chair of Russia-based game developer Zeptolab, and Bulba Ventures, a Belarusian venture capital (VC) firm that invests in AI startups.
DeepMind and co-founder Mustafa Suleyman have decided to go their separate ways. Earlier this year there were disputed reports the two were arguing, some even suggested he'd been placed on leave. But now it seems he's actually left the UK-based enterprise. Can't wait to get going! More in Jan as I start the new job!
A large share of countries around the world are now using Chinese AI surveillance technology, including facial recognition technology, in full or in part. This is according to a report by Carnegie Endowment for International Peace. Many countries are combining Chinese tech with U.S.-made surveillance tech, among them the U.S. and China themselves, but also India, Australia, Brazil and several European countries. Many countries in Latin America, South-East Asia, Africa and the Middle East are relying on Chinese technology alone after participating in the Belt and Road initiative, as is Japan, the only developed country to do so. China is not only a prominent user of AI-powered surveillance and facial recognition but also a big producer and exporter of the technology.
Researchers from Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person's brain activity as actual images mimicking what they observe in real time. This will enable new post-stroke rehabilitation devices controlled by brain signals. The team published its research as a preprint on bioRxiv and posted a video online, showing their "mind-reading" system at work. To develop devices controlled by the brain and methods for cognitive disorder treatment and post-stroke rehabilitation, neurobiologists need to understand how the brain encodes information. A key aspect of this is studying the brain activity of people perceiving visual information, for example, while watching a video.
At the recently held 105th RSNA Scientific Assembly and Annual Meeting, International Business Machines Corporation IBM highlighted some of its clients and collaborations for its IBM Watson Health Imaging artificial intelligence (AI) platform. The IBM Watson Health unit is one of the leading platforms engaged in developing AI and data-driven technologies for augmenting healthcare services. The solutions are aimed to effectively respond to some of the most challenges scenarios in healthcare. About Watson Health Imaging's Collaborations At the RSNA event, the IBM Watson Health platform will be showcasing solutions across AI and Machine Learning, Enterprise Imaging, Vendor Neutral Archive, Image Viewing and Sharing as well as PACS. We note that on Oct 30, 2019, Clinical Review 3.0 was launched in the U.K. The solution identifies missed findings by analyzing medical imaging and related reports.
Consistent in their quest to spearhead innovative, groundbreaking events, Eventus International is hosting the first ever AI In Gaming 2020 summit in Dubai on 26 and 27 February at Crowne Plaza Dubai. Joining a lineup of top international industry experts, is Andrew Pearson, founder and MD of Intelligencia Limited, who will be speaking at AI In Gaming 2020. Andrew Pearson was born in Pakistan, grew up in Singapore and was educated in England and America. With a degree in psychology from UCLA, Pearson has had a varied career in IT, marketing, mobile technology, social media and entertainment.In 2011, Pearson relocated to Hong Kong to open Qualex Asia Limited, bringing its parent company's experience into the ASEAN region. Pearson is the Managing Director of Intelligencia Limited, a leading implementer of BI, CI, data warehousing, data modeling, predictive analytics, data visualisation, digital marketing, mobile, social media and cloud solutions for the gaming, finance, telco, hospitality and retail industries.