InfoQ Homepage Machine Learning Content on InfoQ
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Dataiku's Latest Release Integrates Deep-Learning for Computer Vision
Collaborative data science platform Dataiku's latest release of its Data Science Studio includes pre-trained deep learning models for image processing. The DSS platform implements each step of a data-science project from data-sourcing and visualization to production deployment. Its machine-learning module supports standard libraries and it integrates with Hadoop and multiple Spark engines.
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Baidu Release Huge Dataset "ApolloScape" for Autonomous Vehicle Research
Baidu, the Chinese internet giant, has released ApolloScape, a massive data-set for autonomous vehicle simulation and research. ApolloScape is an order of magnitude more complex than similar open data-sets. It is part of Apollo, Baidu's vehicle simulation and hardware platform. With this release, Baidu strengthens its position in the automated driving sector.
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Fighting Financial Fraud with Machine Learning at Airbnb
Airbnb, the online marketplace that matches people who rent out their homes with people who are looking for a place to stay, uses machine learning (ML) techniques to fight financial fraud. They use targeted friction to battle the chargebacks while minimizing impact to good guests using their online reservation system.
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First Pedestrian Killed by Self-Driving Car
A pedestrian was killed on Sunday evening in Tempe, Arizona, by a self-driving car operated by Uber, the BBC reports. The firm confirmed that the vehicle was traveling in autonomous mode with a safety driver, the only vehicle occupant, behind the wheel during the crash.
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Microsoft Embeds Artificial Intelligence Platform in Windows 10 Update
The next Windows 10 update opens the way for the integration of artificial intelligence functionalities within Windows applications. Developers will be able to integrate pre-trained deep-learning models converted to the ONNX framework in their Windows applications.
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Microsoft Achieves Human Parity on Chinese-English Machine Translation
Microsoft created a translation algorithm that translates Chinese sentences to English as well as human translators do. Translating Chinese sentences into English has been difficult in the past. Thanks to neural machine translation, a technique that created amazing results in the last couple of years, Microsoft got their machine translated sentences on par with human translated sentences.
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Facebook Releases Open Source "Detectron" Deep-Learning Library for Object Detection
Recent releases from Facebook and Google implement the most current deep-learning algorithms to take a crack at the challenging problem of machine object detection.
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Demystifying Machine Learning for Development Teams and Children
Rob Harrop's QCon London keynote, titled AI and ML for Software Engineers, spoke of how ML often sits behind a siloed wall between dev and data science teams. Developers are often jarred from being able to develop their own competence due to the aura of mysticism around ML. Dale Lane of IBM spoke in the sponsor stream of how he's been demystifying and making ML accessible to children.
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UK Supermarket Launches Machine Learning Sommelier
The UK arm of German supermarket company Lidl has launched a Facebook Messenger-based chatbot, designed to help customers choose the right wine to compliment their food or occasion.The chatbot, named Margot, uses a unique approach to NLU and can interact with shoppers to provide answers to frequently asked questions, pairing wines with food, finding a wine and taking a quiz.
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Google Cloud TPU for Machine Learning Acceleration is Now Available in Beta
Google has made their custom chips, Tensor Processing Units (TPU) for running machine learning workloads written for its TensorFlow framework, available in beta for Machine Learning (ML) experts and developers. With Google’s Cloud TPU’s, ML models can run on demand at lower costs and higher performance.
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Machine Learning and Artificial Intelligence - Two Conferences to Attend in 2018
The IEEE publishes an annual list of the Top 10 Technology Trends for each upcoming year. Making the list for 2018 are multiple topics surrounding artificial intelligence and machine learning. Deep learning comes in as the IEEE hottest trend for 2018.
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Modern Big Data Pipelines over Kubernetes
Container management technologies like Kubernetes make it possible to implement modern big data pipelines. Eliran Bivas, senior big data architect at Iguazio, spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about big data pipelines and how Kubernetes can help develop them.
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Building GPU Accelerated Workflows with TensorFlow and Kubernetes
Daniel Whitenack spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about GPU based deep learning workflows using TensorFlow and Kubernetes technologies. He discussed the open source data pipeline framework Pachyderm.
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How Apple Does Realtime Recognition of Handwritten Chinese Characters
Apple details building on-device handwritten Chinese character recognition with convolutional-neural networks and image recognition.
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Panel on the Future of AI
An SF QCon panel on the future of AI explored some issues facing machine learning today. The areas explored: critical issues facing AI right now, how has technology changed the way people are hired, how non-leading edge companies make the best use of current technologies, what the role of humans in relation to AI is, and exciting new breakthroughs on the immediate horizon.