Paul Hsu

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Google Neural Network Can Predict Health Status From Your Retina - ExtremeTech

By on January 5, 2018 at 10:45 am<p>This site may earn affiliate commissions from the links on this page. Terms of use.<p>Machine learning can be used to …

10 Chatbot Conversation-Builder Tips

A well designed chatbot can increase brand awareness, and in turn, sales.<p>Chatbots have taken the world by storm. These robots act as personal assistants, customer support representatives, marketing executives, and more. They're either powered by artificial intelligence (AI), meaning that they learn …

Deep Learning in Real-Time With TensorFlow, H2O.ai, and Kafka Streams

Intelligent real-time applications are a game-changer in any industry. Deep learning is one of the hottest buzzwords in this area. New technologies …

This neural network aims to give your smartphone photos DSLR-like quality

Developments in AI and neural networks have serious implications for photography. It’s through deep learning that we can achieve things like improving photos before they’ve even been taken or creating realistic-looking fake celebrities. Thanks to a new report (via <i>Engadget</i>), we’ve gotten a look at …

Wanna get started with practical AI? Check out this chap's Rubik's Cube solving neural-net code

Written in Python, it's not perfect – but it's pretty coolThe Rubik’s Cube is one of those toys that just won't go away. Solving it is either …

Deep Learning

NVIDIA's Processors May Soon Power Wal-Mart's Deep Learning Push

Recently, analyst Trip Chowdhry of Global Equities Research wrote in an investor note that <b>Wal-Mart Stores</b> (NYSE: WMT) will ramp up its focus on deep neural networks for its OneOps cloud business and that the retailer will tap <b>NVIDIA</b>'s (NASDAQ: NVDA) graphics processing units (GPUs) to make this …

Investing

IBM is modeling new AI after the human brain

Attentive Robots<p>Currently, artificial intelligence (AI) technologies are able to exhibit seemingly-human traits. Some are intentionally humanoid, and …

Artificial Intelligence

Machine Learning for Humans, Part 2.1: Supervised Learning

The two tasks of supervised learning: regression and classification. Linear regression, loss functions, and gradient descent.<p><i>How much money will we</i> …

Delivering business goals, not just software features

Commercial organisations across the European Union lost 142 billion EUR on failed IT projects in 2004 alone, mostly because of poor alignment with …

Split User Stories Ruthlessly - And Get Value Earlier

Why do you need to split user stories?<p>Often, you hear that it is important to split user stories. You read articles that say it should be possible to …

Salesforce goes Kanban in the call center

Salesforce is offering a Kanban approach to the call center.The post Salesforce goes Kanban in the call center appeared first on diginomica.

Kanban

If an enterprise can’t fix workflow, what if a Kanban can?

Already popular in DevOps and lean manufacturing, Kanban is now seeping into other enterprise functions where it can help fix workflow in distributed …

Enterprise

Enter The Matrix – Lean Prioritisation

Prioritisation is a necessary evil of every product development lifecycle. Deciding what to build, where to focus limited resources and what customer …

Product Management

Real MVPs vs what everyone calls an MVP

There was another team that I worked with that was selling products that were commodities. Price parity was crucial. There was a commercial team that …

The Playbook for Achieving Product-Market Fit

Why Products FailOne of the main reasons why products fail is because they don’t meet customer needs in a way that is better than other alternatives. …

Product Management

Introduction to Neural Networks, Advantages and Applications

Artificial Neural Network (ANN) uses the processing of the brain as a basis to develop algorithms that can be used to model complex patterns and …

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