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Loveland Innovations Launches the Most Capable Deep Learning Engine for the Insurance, Roofing and Building Inspection Industries

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Information contained on this page is provided by an independent third-party content provider. Frankly and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com Loveland Inn...


Trace3 Partners with NVIDIA to Deliver Accelerated Computing and Machine Learning

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Trace3 will play a key role in delivering NVIDIA-based artificial intelligence, machine learning, and deep learning solutions to enterprises worldwide. The NVIDIA partner program will include initiatives to help partners expand capabilities for the integration and deployment of NVIDIA GPU computing ...


Global Industrial Machine Vision Market3: Growing Demand for Application-Specific Machine Vision Systems Driving the $12 Billion Industry

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The "Industrial Machine Vision Market by Component (Hardware (Camera, Frame Grabber, Optics, Processor), and Software (Deep Learning, and Application Specific)), Product (PC-based, and Smart Camera-based), Application, End-User - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering. The overall industrial machine vision market was valued at USD 7.91 Billion in 2017 and is expected to reach USD 12.29 Billion by 2023, at a CAGR of 7.61% between 2017 and 2023. This is because of the increasing need for quality inspection and automation, growing demand for AI and IoT integrated machine vision system, increasing adoption of Industrial 4.0, development of new connected technologies, and government initiatives to support smart factories, among others. Governments of different countries worldwide are encouraging investments in manufacturing, which is necessitating the use of various automation products for structural development. Software component is expected to grow at the highest rate between 2017 and 2023.


Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions

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Artificial Intelligence, Machine Learning and Deep Learning (AI ML DL) are at the heart of digital transformation by enabling organizations to exploit their growing wealth of big data to optimize key business and operational use cases. See "Artificial Intelligence is not Fake Intelligence" for more details on AI ML DL. And the business ramifications are staggering! BusinessWeek (October 23, 2017) reported a dramatic increase in mentions of "artificial intelligence" during 363 third quarter earnings calls (see Figure 2). To help our clients exploit the business and operational benefits of AI ML DL, Dell EMC has created "Ready Bundles" that are designed to simplify the configuration, deployment and management of AI ML DL solutions.


Lunit Leads the Expansion of AI in the Healthcare Industry

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Lunit Inc., a member company of the K-ICT Born2Global Centre, has developed a deep learning-based technology for analyzing medical images that dramatically lowers the rate of misdiagnosis. Currently, the AI technology is being subjected to a sophistication process in cooperation with major medical institutions in Korea, including Seoul National University Hospital, Severance Hospital of Yonsei University Health System, Samsung Medical Center, and Asan Medical Center. Anthony Paek, the CEO of Lunit, explained, "The data-driven imaging biomarker (DIB) technology that Lunit proposed for the first time ever in 2015 is an AI system that has learned abnormal and clinically significant image patterns from big data." He went on to add, "Currently, DIB technology has achieved an accuracy level comparable to that of human experts. In the future, however, we will have new DIB technologies capable of outperforming humans."


Over 5,000 Indian developers in 6 cities acquire deep learning skills, Prepare for AI era at NVIDIA Developer Connect 2017

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December 21, 2017: Business Wire India NVIDIA brought together the best minds in research, academia and industry across Hyderabad, Chennai, Mumbai, Pune, Delhi and Bangalore 42 speaker sessions from leading experts in fields such as computer vision, sensor fusion, software development, regulation and HD mapping provide expertise NVIDIA today completed its first edition of Developer Connect 2017 in Bangalore. The six-city developer roadshow witnessed over 5,000 attendees who experienced some of the highest quality workshops and demonstrations of AI and deep learning tools, designed to meet the challenges big data presents. Attendees got a closer look at NVIDIA's DGX systems, as well as the opportunity to learn more about its new Volta architecture. Both the DGX-1 and DGX Station were on display to demonstrate the full power of these AI supercomputers. The concluding segment witnessed prominent speakers from organizations such as Ola, Cognitive Computing, Microsoft, Hewlett Packard Enterprise Labs, Shell India, Sony India and Aditya Imaging Information Technologies provide their views.


LG Electronics Launches 'ThinQ' For Its AI Initiatives

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LG first laid the foundation for its AI efforts at CES 2017 when it announced DeepThinQ followed by the initiative to include Wi-Fi in its entire line of premium appliances launched this year. Advancing the company's innovations in AI, LG opened the Artificial Intelligence Lab in Seoul in June under company's CTO to tie together all its diverse AI research in technologies that recognize, deduce and learn from voice, video and sensors. LG's AI Lab has contributed to the development of the world's first space-learning air conditioner as well as intelligent refrigerators, washing machines and robot vacuum cleaners. "Our new ThinQ platform for LG's intelligent products is the latest way that LG is delivering innovations that make consumers' lives easier and more enjoyable," said David VanderWaal, vice president of marketing for LG Electronics USA. "LG ThinQ enables deep learning technology and connectivity across household products, delivering even greater capabilities and convenience." In the United States, LG already offers the most extensive range of Wi-Fi enabled appliances available* today featuring its LG SmartThinQ Wi-Fi connectivity.


Artificial intelligence just discovered two new exoplanets

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A machine learning technique called a neural network has identified two new exoplanets in our galaxy, NASA scientists and a Google software engineer announced today, meaning that researchers now know about two new worlds thanks to the power of artificial intelligence. Discovering new exoplanets--as planets outside our solar system are called--is a relatively common occurrence, and a key instrument that scientists use to identify them is the Kepler Space Telescope, which has already spotted a confirmed 2,525 exoplanets. But what's novel about this announcement is that researchers used a AI system to spot these two new worlds, now dubbed Kepler-90i and Kepler-80g. The planet known as 90i is especially interesting to astronomers, as it brings the total number of known planets orbiting that star to eight, a tie with our own system. The average temperature on 90i is thought to be quite balmy: more than 800 degrees Fahrenheit.


Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

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"The Computer Society's predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018," said Jean-Luc Gaudiot, IEEE Computer Society President. "The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future." Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, "The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst?