InfoQ Homepage Artificial Intelligence 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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Applying Artificial Intelligence in the Agile World
The convergence of artificial intelligence (AI) systems with the agile world is having a disruptive effect on how we build software and the types of products that we build, said Aidan Casey. By combining machine learning and deep learning we can build applications that truly learn like humans. AI bias is a very serious concern, as AI systems are only as good as the data sets used to train them.
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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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Facebook Open-Sources PyText NLP Modeling Framework
Facebook AI Research is open-sourcing PyText, a natural-language-processing (NLP) modeling framework that is used in the Portal video-calling device and M Suggestions in Facebook Messenger.
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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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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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Baidu Announces "OpenEdge", an Open-Source Edge Computing Platform
Recently Baidu Inc. announced China's first open-source edge computing platform called OpenEdge - allowing developers to build light, secure and scalable edge applications. The OpenEdge platform brings processing power to "edge devices" like smart home appliances and wearables.
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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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The Future of Work Is Female
Jobs currently performed by the majority of women, where it’s more about adaptability, improvisation, emotional intelligence, and implicit knowledge, will predominate in the future, according to Agnieszka Walorska. Artificial intelligence and robotics will automate highly specialized jobs mostly performed by men.
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Connecting Business Challenges and Emerging Technologies
Caragh O'Carroll spoke about three emerging technologies at Women in Tech Dublin 2018: Blockchain, robotic process automation, and artificial intelligence and machine learning. She explored how these technologies provide solutions to the challenges that businesses are facing.
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Q&A with Christoph Windheuser on AI Applications in the Industry
Increased hardware power and huge amounts of data are making existing machine learning approaches like pattern recognition, natural language processing, and reinforcement learning possible. Artificial Intelligence is impacting the development process; it’s increasing the complexity of things like version control, CI/CD and testing.
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QCon.ai San Francisco 2019: AI & ML Conference Focused on Software Engineers Announces Tracks
QCon.ai, the first conference from the people behind QCon and InfoQ focused solely on artificial intelligence and machine learning for the software engineer, announces the tracks for the 2019 conference.
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AWS Marketplace Offers Machine Learning Algorithms and Model Packages
Amazon Web Services is offering machine learning algorithms and model packages on their AWS Marketplace. This was announced at AWS re:Invent Conference last week.
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Microsoft Announces Container Support for Azure Cognitive Services
Microsoft has announced container support for Cognitive Services, which allows taking advantage of machine learning capabilities anywhere, whether it is in the cloud, on the edge or on-premises. With Azure Cognitive Services, organizations can start using various cognitive features, like vision, speech and text processing, without the need for a dedicated data scientist.
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