Category: Machine Learning

Will machines one day be as creative as humans?

Will machines one day be as creative as humans? – Microsoft Research Blog

via Microsoft Research Will machines one day be as creative as humans? By Sebastian Nowozin Recent methods in artificial intelligence enable AI software to produce rich and creative digital artifacts such as text and images painted from scratch. One technique used in creating these artifacts are generative adversarial networks (GANs). Today at NIPS 2017, researchers…

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Microsoft will invest $5 billion in IoT. Here’s why.

via blogs.microsoft.com Microsoft will invest $5 billion in IoT. Here’s why. Julia White, CVP Microsoft Azure Today, we are announcing that we will invest $5 billion in the Internet of Things over the next four years. The reason we are doing this is simple: Our goal is to give every customer the ability to transform…

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Virtual Retail, a New Business Model for the Fashion Industry-Taira Colah

ELSE Corp’s Virtual Retail, a New Business Model for the Fashion Industry (video pitch)

ELSE Corp is an Italian B2B start-up based in Milan, founded in 2014. The company’s core business is the design and development of a technologically advanced Cloud SaaS & API platform and the related know-how about their business model “Virtual Retail“. ELSE Corp’s Virtual Retail, a New Business Model for the Fashion Industry   The…

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Il Virtual Retail di ELSE Corp, un nuovo modello di business per l’industria del Fashion

Il Virtual Retail di ELSE Corp, un nuovo modello di business per l’industria del Fashion (video pitch)

ELSE Corp è una startup italiana che offre soluzioni di Virtual Retail e Cloud Manufacturing a brand, retailer, produttori e designer. Il Virtual Retail è un modello di business innovativo che sfrutta le tecnologie 3D, l’industria 4.0 e l’Intelligenza Artificiale per consentire alle aziende di offrire esperienze d’acquisto uniche e innovative. ELSE Corp ha, inoltre,…

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Top 20 Python AI and Machine Learning Open Source Projects- KDnuggets

via Top 20 Python AI and Machine Learning Open Source Projects We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors. By Ilan Reinstein, KDnuggets. Getting into Machine…

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Retail’s Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce- CB Insights

via Retail’s Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce Traditional and new-school retailers alike are using AI and robotics to automate various parts of the retail chain, from manufacturing to last-mile delivery. Retail is under pressure to crack the AI code. After all, corporations in every industry are scrambling to adapt and integrate artificial…

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Deep Learning vs Classical Machine Learning

Deep Learning vs Classical Machine Learning- Towards Data Science

via towardsdatascience.com by George Seif Deep Learning vs Classical Machine Learning Over the past several years, deep learning has become the go-to technique for most AI type problems, overshadowing classical machine learning. The clear reason for this is that deep learning has repeatedly demonstrated its superior performance on a wide variety of tasks including speech, natural…

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Data Science in Fashion- KDnuggets

via Data Science in Fashion Fashion industry is an extremely competitive and dynamic market. Trends and styles change with the blink of an eye. Data Science can be used here on historical data to predict the trends which will be “Hot” hence potentially saving a lot of time and money. By Preet Gandhi, NYU Center…

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Using Node.js + OpenCV for Face Recognition- Medium

via medium.com Node.js + OpenCV for Face Recognition OpenCV — Node.js Tutorial Series by Vincent Mühler Recently I have added the face recognition algorithms from OpenCV contrib to opencv4nodejs, an npm package, which allows you to use OpenCV in your Node.js application. Today we are going to take a look at the Fisher-, Eigen- and LBPH FaceRecognizers implemented…

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