software


Deep Learning Market Size 2020 Global Industry Share, Top Players, Opportunities And Forecast To 2026 – Mathematics Market Methods

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Deep Learning Market report to study and analyses the market size (Consumption, Value, Volume and Production) By Company, Key Regions, Products and End User/Application, Deep Learning market breakdown data from 2014 to 2019, and 6 year forecast from 2020 to 2026. Bedsides Deep Learning industry research report enriched on worldwide competition by topmost prime manufactures (Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Inc., Koniku) which providing information such as Company Profiles, Gross, Gross Margin, Capacity, Product Picture and Specification, Production, Price, Cost, Revenue and contact information.Deep Learning Market report provide the in-depth analysis of key factors influencing the growth of the market (Growth Potential, Opportunities, Drivers, Industry-Specific Challenges and Risks). The Latest Deep Learning Industry Data Included in this Report: Deep Learning Market Size & Analysis (2014 – 2026); Deep Learning Market Volume & Future Trends (2014 – 2026); Deep Learning Market; By Geography (Volume and Value); 2014 – 2026; Deep Learning Market Opportunity Assessment (2014 – 2026); Deep Learning (Installed Base) Market Share: By Company; Major Deals in Deep Learning Market; Deep Learning Reimbursement Scenario; Deep Learning Current Applications; Deep Learning Competitive Analysis: By Company; Key Market Drivers and Inhibitors; Major Companies Analysis. Scope of Deep Learning Market: The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market.


CUJO AI adds online consumer privacy protection to its quiver

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CUJO AI is using artificial intelligence (AI) and machine learning (ML) for its new online privacy and tracking platform, which is called Incognito. CUJO AI offers "digital life protection" through its AI solutions that are in use by network service providers and their customers. CUJO AI provides network, mobile and public Wi-Fi operators with a full-stack set of cloud and edge software that captures, processes, curates and acts on device-level network data. With Incognito, CUJO AI uses its AI engine, ML analysis and real-time traffic classification to help broadband users and service providers evaluate privacy threats in the data flows and then block elements to provide privacy protection. Incognito uses machine learning to analyze website requests and upstream responses, looking for third-party trackers such as cookies, browser fingerprinting techniques and tracking ads.


CUJO AI Launches Incognito: AI-powered, Next-generation Privacy and Tracking Protection

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El Segundo, CA (February 25, 2020) – CUJO AI, the global leader in the development and application of artificial intelligence to improve the security, control and privacy of connected devices, today announced the launch of Incognito, an AI-powered privacy and tracking protection solution. The CUJO AI Incognito solution will enable users to take control of their private information by automatically blocking tracking software that profiles them on the Internet. CUJO AI Incognito leverages Artificial Intelligence (AI), Machine Learning (ML) analysis, and real-time traffic classification to evaluate privacy threats in the data flow and then block elements of it to provide the best possible privacy protection. CUJO AI Incognito uses machine learning to analyze website requests and upstream responses, looking for third-party trackers like cookies, browser fingerprinting techniques and tracking ads. Incognito blocks these trackers in the broadband gateway and minimizes the personal information disclosed.


Is Matter Conscious? - Issue 82: Panpsychism

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The nature of consciousness seems to be unique among scientific puzzles. Not only do neuroscientists have no fundamental explanation for how it arises from physical states of the brain, we are not even sure whether we ever will. Astronomers wonder what dark matter is, geologists seek the origins of life, and biologists try to understand cancer--all difficult problems, of course, yet at least we have some idea of how to go about investigating them and rough conceptions of what their solutions could look like. Our first-person experience, on the other hand, lies beyond the traditional methods of science. Following the philosopher David Chalmers, we call it the hard problem of consciousness. But perhaps consciousness is not uniquely troublesome. Going back to Gottfried Leibniz and Immanuel Kant, philosophers of science have struggled with a lesser known, but equally hard, problem of matter. What is physical matter in and of itself, behind the mathematical structure described by physics?


Hackers can peep through this smart vacuum's camera, research shows

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The Trifo Ironpie has a built-in camera. Security researchers revealed Wedneday that vulnerabilities in the device could let hackers access the video stream remotely, among other things. The Trifo Ironpie robot vacuum is designed to do double duty. The fans on the swiveling disc hoover your house, while the camera mounted on it acts as an ankle-high securitydevice. The idea is to stay tidy while staying safe.


Andreessen-Horowitz craps on "AI" startups from a great height

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Andreessen-Horowitz has always been the most levelheaded of the major current year VC firms. While other firms were levering up on "cleantech" and nonsensical biotech startups that violate physical law, they quietly continued to invest in sane companies (also hot garbage bugman products like soylent). I assume they actually listen to people on the front lines, rather than what their VC pals are telling them. Maybe they're just smarter than everyone else; definitely more independent minded. Their recent review on how "AI" differs from software company investments is absolutely brutal.


Chinese Hospitals Deploy AI to Help Diagnose Covid-19

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Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, South Korea, Iran, and Italy. That's forced the hospital to become a testbed for how quickly a modern medical center can adapt to a new infectious disease epidemic. One experiment is underway in Zhongnan's radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on lung CT scan images. Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing. He emailed WIRED an audio file of himself answering a reporter's questions about the project and answered other questions by email.


Top 10 Artificial Intelligence Trends for 2020

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Artificial intelligence, machine learning, neural networks or whatever other fancy terms industry is coming out with for what is defined as the sophisticated computer technology that is becoming widely utilized to understand and improve business and customer experiences. I assume you have heard of it before, but the way it is defined today is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Digital IQ, as the measurement of how well an organization can understand its business processes and the content and data within them from a variety of critical perspectives, will play an increasingly important role in every digital transformation strategy as more enterprises come to the realization that they must have visibility into their operations. Digital Intelligence solutions will help organizations increase this business-critical ability by optimizing automation initiatives and complementing platforms like RPA and BPM. In 2020, more organizations will adopt digital intelligence technologies into their overarching digital transformation initiatives, as enterprises realize that these solutions illuminate paths to improved customer experience, reduce operating costs and sharpen competitive advantage.


U.S. Military Facial Recognition System Could Work From 1 Kilometer Away

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The face recognition system is designed to be used by drones. The U.S. Special Operations Command (SOCOM) is developing a portable facial recognition system that can identify individuals from 1 kilometer (0.6 miles) away. The Advanced Tactical Facial Recognition at a Distance Technology project demonstrated a working prototype last year; its use could be extended to drones. Long-range face-recognition device manufacturer Secure Planet is developing the system, which must render captured images as pictures that are sufficiently clear for software to identify. Secure Planet bases its devices on digital single-lens reflex cameras with commercial face-recognition software running on a standard laptop.


10 Emerging Companies in AI - AI Trends

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The simplest way to think about Artificial Intelligence is in the context of a human. It forms systems that work intelligently and independently. It can perform in complex environments, autonomously, and adapts to that environment by learning. From SIRI to self-driving cars, AI has taken the world by storm and has the potential to disrupt nearly every sector one can think of. AI has disrupted nearly every industry to boost efficiency in this competitive market.