Machine Learning


AI Weekly -- (August 6–12) – Towards Data Science

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Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch. We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning method that can be applied to any task in NLP, and introduce techniques that are key for fine-tuning a language model. Our method significantly outperforms the state-of-the-art on six text classification tasks, reducing the error by 18- 24% on the majority of datasets.


X-Pack Machine Learning Recipes

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Recipes are short documents that describe how to configure Elastic machine learning jobs to detect unusual system behaviors. We'll keep you updated with new releases. Elasticsearch is a trademark of Elasticsearch BV, registered in the U.S. and in other countries. Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS and the yellow elephant logo are trademarks of the Apache Software Foundation in the United States and/or other countries.


Google launches the first of its prepackaged AI services - SiliconANGLE

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Google LLC has delivered on one of the promises it made at its recent Cloud Next conference to make its artificial intelligence services easier to implement. The cloud company today launched the first of what it calls "prepackaged AI services," which as the name suggests bundle prebuilt AI tools for specific business tasks. Google's thinking behind its prepackaged AI offerings is that companies are still in need of help in order to adopt these new technologies. The potential for AI is obvious enough, but as Google product managers Apoorv Saxena and Geordy Kitchen pointed out in a blog post, AI also requires "the need for specialized talent and hardware, the right types and quantities of data for training and refining [of] machine learning models." That's what the company is trying to address now.


Embracing AI in business processes

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Although many software packages with built-in artificial intelligence (AI) are readily available on the market today, a specific customer solution still requires a lot of traditional handicraft. However, these specific systems allow AI to actually be used for those business processes in which they drive the most benefit. The question is: which business processes are the most suitable for applying AI? Now that the dust from the current AI storm has settled somewhat, we can see what its importance will really be. In addition to all those beautiful, interesting, and fascinating results to emerge from AI laboratories, the first commercial applications are beginning to emerge. These applications may have a narrow field of application, but they do perform quite well.


Windows malware: How to stop your files being wrongly tagged as malicious by Windows Defender ATP

ZDNet

Microsoft has listed some of the ways that developers can tweak their approach to make sure their programs and files aren't accidentally flagged as malware by its Windows Defender Advanced Threat Protection (ATP) software. Windows Defender ATP -- the built-in antivirus package used by Windows 10 -- combines layers of machine-learning models, behaviour-based detection algorithms, generics, and heuristics to rapidly investigate suspicious files. But Microsoft acknowledges that there is a trade off: "Some of our more aggressive classifiers from time to time misclassify normal files as malicious (false positives). While false positives are a very tiny occurrence compared to the large number of malware we correctly identify (true positives) and protect customers from, we are aware of the impact that misclassified files might have," said Michael Johnson of Windows Defender Research in a blog post. Microsoft said publishing apps to the Microsoft Store is the best way for vendors and developers to ensure their programs are not misclassified, but has also listed a number of other options to stop innocent programs and files being tagged as malware for those reluctant to host their app in its digital store.


Where's Waldo? Watch this robot find him

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"If Waldo is identified the arm will move to that position and point the little creepy hand at Waldo on the page," says Reed. Reed trained the machine intelligence by uploading 62 images of Waldo from Google Images. "I thought that wouldn't be enough data to build a strong model but it gives surprisingly good predictions on Waldos that weren't in the original training set. Maybe I could get that lower if I built up my Waldo training set more," Reed says. "There are a surprising amount of faces on a Waldo spread. Did you know some of those Waldo pages have over 300 faces?


Oracle introduces GraphPipe for Machine Learning Deployment

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"We created GraphPipe to solve these three challenges. It provides a standard, high-performance protocol for transmitting tensor data over the network, along with simple implementations of clients and servers that make deploying and querying machine learning models from any framework a breeze.


Creating custom Fortnite dances with webcam and Deep Learning

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Using Pose Estimation and Conditional Adversarial Networks to create and visualize new Fortnite dances. If you know about the game Fortnite, you probably also know about the craze surrounding the in-game celebrations/emotes/dances. Gamers have spent millions of dollars purchasing dance moves with in-app purchases, making something as simple and as silly as this a big revenue generator for the game developer. This got me thinking, if the developer allowed the users to create these dances in the game and charged extra for it, they can probably make more money. As for the users, it would be really cool if we could record ourselves on a webcam and create our own celebratory dance within the game.


Drive competitive advantage with machine learning Approyo SAP Solutions

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Machine learning is already having a huge impact on our lives. When we talk to a call center, our interaction is often with a robot. Articles that we read online might have been written by a machine. In many cases, such as online shopping, machine learning understands our behavior and intent, and makes precise, intelligent recommendations. Successful companies realize the potential of machine learning used across business processes, applications, and line-of-business solutions to sustain a competitive advantage.


Creating custom Fortnite dances with webcam and Deep Learning

#artificialintelligence

Using Pose Estimation and Conditional Adversarial Networks to create and visualize new Fortnite dances. If you know about the game Fortnite, you probably also know about the craze surrounding the in-game celebrations/emotes/dances. Gamers have spent millions of dollars purchasing dance moves with in-app purchases, making something as simple and as silly as this a big revenue generator for the game developer. This got me thinking, if the developer allowed the users to create these dances in the game and charged extra for it, they can probably make more money. As for the users, it would be really cool if we could record ourselves on a webcam and create our own celebratory dance within the game.