InfoQ Homepage Machine Learning Content on InfoQ
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Amazon Alexa Enables an Ambient Computing Lifestyle
Alexa is becoming ubiquitous in the home through a purposeful Amazon Web Services (AWS) strategy to make Alexa, voice-activated service, a central component of an ambient computing lifestyle, according to Dave Limp, Amazon’s senior VP of devices and services in a recent article in the Verge.
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IBM May Have Found a Path to Dealing with Decoherence in Current Quantum Computers
In a recent Nature paper, researchers from IBM and other institutions devised two quantum algorithms to train a quantum support vector machine (SVM) classifier and proposed a novel approach to dealing with decoherence and noise in current quantum hardware.
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San Francisco: QCon.ai Schedule Nearing Completion
April 15-17 software engineering teams will gather in the Bay area for the Second Annual QCon.ai Software Conference. QCon.ai is focused on helping teams adopt and validate roadmaps in machine learning by hearing and learning from those that are doing it today. What truly differentiates QCon.ai is its machine learning focus given through the lens of the software engineer.
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Uber Open-Sources Ludwig Code-Free Deep-Learning Toolkit
Uber Engineering is open-sourcing Ludwig, a deep-learning toolkit that allows users to experiment with a variety of neural network structures without writing code.
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Making Machine Learning Adoptable for Clinicians
Dr. Alexander Scarlat explains the core tenants of machine learning in his 12-part series "Machine Learning Primer for Clinicians." Scarlat covers defining aspects of machine learning, followed by examples that communicate aspects of measuring the performance of machine learning models. The series uses animated charts in place of the math to help readers understand the machine learning concepts.
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Microsoft Announces Azure IoT Edge Support for Virtual Machines
In a recent blog post, Microsoft announced support for Azure IoT Edge on virtual machines. This new capability expands Microsoft’s support for virtualization platforms, including VMware vSphere and Hyper-V. Using these virtualization platforms, customers can choose to run Azure IoT Edge on Windows, a variety of Linux distributions or containers.
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OpsRamp Announces Improved Service Centricity, AIOps and Cloud Monitoring
OpsRamp, a service-centric AIOps software-as-a-service (SaaS) platform for the hybrid enterprise, has announced new topology maps, enhanced artificial intelligence for IT operations (AIOps) features and new monitoring capabilities for cloud native workloads.
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Facebook Open-Sources DeepFocus, Bringing More Realistic Images to Virtual Reality
In a recent blog post, Facebook announced they have open-sourced DeepFocus, an AI powered framework for improving focus on close objects. This technology ensures nearby objects are in-focus, while distant objects appear out of focus, much like cinematic experiences. DeepFocus takes advantage of an end-to-end convolutional neural network that produces an accurate retinal blur in near real-time.
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Grady Booch on the Future of AI
According to Grady Booch, most current AI systems are about pattern matching of signals at the edge and inductive reasoning, not true Artificial Intelligence. During his second day keynote at the 2018 QCon San Francisco, "Building the Enchanted Land", he explained his view that AI today is a "system engineering problem with AI components."
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Exploring the Relationship between Quantum Computers and Machine Learning
The Google AI Quantum team recently published two papers that contribute to the exploration of the relationship between quantum computers and machine learning. InfoQ has spoken with Google senior research scientist Jarrod McClean to better understand the importance of these results.
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Amazon Offers Sustainability Datasets for Analysis
Amazon Web Services Open Data (AWSOD) and Amazon Sustainability (AS) are working together to make sustainability datasets available on the AWS Simple Storage Service (S3), and they are removing the undifferentiated heavy lifting by pre-processing the datasets for optimal retrieval. Sustainable datasets are commonly from satellites, geological studies, weather radars, agricultural studies, etc.
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Protecting Artificial Intelligence from Itself
Applications using artificial intelligence can be fooled by adversarial examples, creating confusion in the model decisions. Input sanitization can help by filtering out improbable inputs before they are given to the model, argued Katharine Jarmul at Goto Berlin 2018. We need to start thinking of the models and the training data we put into them as potential security breaches, she said.
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Amazon Introduces AWS RoboMaker for Building Intelligent Robotic Applications
At the recent AWS re:Invent 2018 conference, Amazon introduced AWS RoboMaker, a service that simplifies the development, testing and deployment of intelligent robotic applications at scale. RoboMaker includes extensions for the Robot Operating System (ROS) that enable cloud connectivity to AWS to take advantage of machine learning, cognitive, monitoring and analytics services.
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Facebook Open-Sources PyText for Faster Natural Language Processing Development
In a recent blog post, Facebook announced they have open-sourced PyText, a modeling framework, used in natural language processing (NLP) systems. PyText is a library built upon PyTorch and improves the effectiveness of promoting experimentation projects to large-scale production deployments.
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Microsoft Previews Neural Network Text-To-Speech Capabilities
In a recent blog post, Microsoft announced a public preview of their neural network-powered text-to-speech capability, which is part of their Azure Cognitive Services offering. Within this release, the service makes computer generated voices indistinguishable from actual recordings. This technology has applications in chatbots, virtual assistants and converting digital text into audio books.
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Applied AI & ML conference for software engineers
April 15-17, 2019
San Francisco, California
Discover emerging AI trends, essential tools, and how to apply AI in your software projects.
QCon.ai Tracks
- Deep Learning in Practice
- Papers in Production: Modern CS in the Real World
- Predictive Architectures in the Real World
- AI Meets the Physical World
- Groking Timeseries & Sequential Data
- Solving Software Engineering Problems with Machine Learning
Featured Talk
Applying Deep Learning To Airbnb Search
Machine Learning Engineer @Airbnb
Malay Haldar
“High quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding on where AI is headed and some of the areas where it is actively applied.”
QCon.ai at a glance
- 6 tracks across 2 days
- 1 day of optional workshops
- 35+ speakers from early adopter companies
- Practitioners over evangelists
- Never any hidden marketing
- Peer sharing opportunities
