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Artificial Intelligence-Emotion Recognition Market 2019 Growing Demands and Precise Outlook – Microsoft, Softbank, Realeyes, INTRAface – Dagoretti News

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The report presents an in-depth assessment of the Artificial Intelligence-Emotion Recognition including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Artificial Intelligence-Emotion Recognition investments from 2019 till 2025. The Global Artificial Intelligence-Emotion Recognition Market is expected to grow from USD 813.56 Million in 2018 to USD 1,890.67 The positioning of the Global Artificial Intelligence-Emotion Recognition Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital). The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market.


Will SD-WAN Solve IoT's Toughest Questions? - SDxCentral

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IoT and SD-WAN might not sound like they belong together, but ask VMware's VeloCloud or managed service provider Apcela and you might be surprised by what they have to say. The two companies see SD-WAN as the key to making large IoT deployments manageable at a human scale. Sanjay Uppal, who co-founded VeloCloud and now serves as the head of VMware's SD-WAN division, said the expanding scope of SD-WAN has opened the door to several applications that the technology wouldn't normally be associated with, and IoT is one of them. "You think of IoT, it's not just IoT running on a cellular network or IoT running on Bluetooth, you could absolutely run IoT on your enterprise SD-WAN," Uppal said in an earlier interview. "Just think of that IoT traffic as a new data type that you will steer across the WAN and you can add services to it as it is steered."


What does an Artificial Intelligence Specialist actually do?

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In mid December, LinkedIn revealed that Artificial Intelligence (AI) Specialist was the top emerging job for 2020; this may not be of much surprise but it does beg the question of what AI specialists actually do, and what the job entails. What are the exact skills and knowledge businesses need from AI Specialists? Artificial Intelligence is a huge buzz word, and is discussed regularly in the media, sometimes conjuring images of robot workers and other futuristic scenarios. We want to break through the AI haze and confusion, and drill down on what AI actually is; if these specialists are so in demand this calendar year, what is it that they will actually be delivering for small business? Dynamic Business has previously explored what AI is, and today we are building on that understanding, with an interview from Jeff Olson, who is Head of Applied AI & Analytics for ANZ, Cognizant.


Telcos collaborate to scale the benefits of AIOps - TM Forum Inform

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The AIOps Catalyst team's work has resulted in a new collaborative workstream focused around the topic within TM Forum. Artificial intelligence (AI) offers huge opportunities for communications service providers (CSPs) to do things better, faster and cheaper. In fact, they have no choice but to introduce AI into operations and business processes due to growing complexity and the sheer volume of data and transactions. However, as well as delivering huge benefits, the introduction of AI also creates new challenges relating to the management of services and processes. A TM Forum Catalyst team is taking a two-pronged approach, tackling both these areas simultaneously to ensure CSPs – and their customers – reap the rewards of AI.


Verizon launches 'privacy-focused' search engine leaving some skeptical because of the firm's past

Daily Mail - Science & tech

There is a new internet watchdog in town and it is powered by Verizon. The tech giant released a'privacy-focused' search engine, called OneSearch, which encrypts searches, leaves results unfiltered and claims to not store or transfer user information. The platform is also Advanced Privacy Mode enabled, meaning all search result links expire within an hour. However, some users are suspicions about the platform, as Verizon has come under fire in the past for its tracking customers as on the internet without permission. Verizon launched a'privacy-focused' search engine, called OneSearch.


What does an Artificial Intelligence Specialist actually do?

#artificialintelligence

In mid December, LinkedIn revealed that Artificial Intelligence (AI) Specialist was the top emerging job for 2020; this may not be of much surprise but it does beg the question of what AI specialists actually do, and what the job entails. What are the exact skills and knowledge businesses need from AI Specialists? Artificial Intelligence is a huge buzz word, and is discussed regularly in the media, sometimes conjuring images of robot workers and other futuristic scenarios. We want to break through the AI haze and confusion, and drill down on what AI actually is; if these specialists are so in demand this calendar year, what is it that they will actually be delivering for small business? Dynamic Business has previously explored what AI is, and today we are building on that understanding, with an interview from Jeff Olson, who is Head of Applied AI & Analytics for ANZ, Cognizant.


Overcoming Bias in Artificial Intelligence, Machine Learning – IAM Network

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Racial bias in [READ MORE…] Recommended For You Revolutionizing IoT Through AI: Why They're Perfect Together Artificial Intelligence seen as key technology game-changer but implementation challenges remain, finds Frost & Sullivan No "significant" loss of jobs from Artificial Intelligence in China HRM Asia Guest Opinion: Here's how to regulate artificial intelligence properly Brainerd Dispatch Callaway Mavrik metalwoods use artificial intelligence to push face and head designs to optimize specific player needs – Golf Digest CES 2020: virtual reality, artificial intelligence and a small glimpse of the future China – The First Artificial Intelligence Superpower Mobile Artificial Intelligence Market From 2020-2029: Growth Analysis by Manufacturers Apple NVIDIA Corporation, Huawei Technologies Co Ltd, Samsung Electronics Co Ltd CategoriesArtificial Intelligence TagsAI, Artificial Intelligence, Deep Learning, Machine Intelligence, Machine Learning, Mixed Learning, Smart Devices Guest Opinion: Here's how to regulate artificial intelligence properly Brainerd Dispatch


Attentional Neural Network: Feature Selection Using Cognitive Feedback

Neural Information Processing Systems

Attentional Neural Network is a new framework that integrates top-down cognitive bias and bottom-up feature extraction in one coherent architecture. The top-down influence is especially effective when dealing with high noise or difficult segmentation problems. Our system is modular and extensible. It is also easy to train and cheap to run, and yet can accommodate complex behaviors. We obtain classification accuracy better than or competitive with state of art results on the MNIST variation dataset, and successfully disentangle overlaid digits with high success rates.


Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation

Neural Information Processing Systems

Classification of personal text messages has many useful applications in surveillance, e-commerce, and mental health care, to name a few. Giving applications access to personal texts can easily lead to (un)intentional privacy violations. We propose the first privacy-preserving solution for text classification that is provably secure. Our method, which is based on Secure Multiparty Computation (SMC), encompasses both feature extraction from texts, and subsequent classification with logistic regression and tree ensembles. We prove that when using our secure text classification method, the application does not learn anything about the text, and the author of the text does not learn anything about the text classification model used by the application beyond what is given by the classification result itself.


Beware of algorithmic bias in AI this year DigiconAsia

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Personalize the user experience, but abide by data privacy laws; and watch out for more AI fiascoes, say FICO experts. According to GSMA Intelligence, the proliferation of smart mobile devices was one of the biggest technology breakthroughs of the last decade. The rapid growth has since led the telecommunications sector to push for 5G, that will finally become a reality in 2020 for several markets in Asia Pacific (APAC). In other markets where 5G deployment is years away, the focus lies on other areas such as payments and digital identities. Artificial intelligence has certainly reached the top of the hype curve in the last few years.