InfoQ Homepage Artificial Intelligence Content on InfoQ
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Models in Minutes not Months: AI as Microservices
Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.
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Fuelling the AI Revolution with Gaming
Alison Lowndes talks about the HW & SW that comprise NVIDIA's GPU computing platform for AI, across PC to data center, cloud to edge, training to inference.
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AI Panel
Panelists attempt to demystify AI and answer questions from the public.
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Deep Learning for Science
Prabhat discusses machine learning's impact on climatology, astronomy, cosmology, neuroscience, genomics, and high-energy physics, and the future of AI in powering scientific discoveries.
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Self-Racing Using Deep Neural Networks: Lap 2
Jendrik Joerdening and Anthony Navarro discuss how a team of Udacity students used neural networks to teach a car to drive by itself around a track in two days.
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Using Artificial Intelligence to Test the Candy Crush Saga Game
Alexander Andelkovic shows how King is training artificial intelligence bots to test its games by mimicking human interactions.
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AI & Security: Lessons and Challenges
Dawn Song presents results in the area of secure deep learning and how DL systems could be fooled and what can be done, how AI and DL can enable better security, and how security can enable better AI.
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Artificial Intelligence and Machine Learning for the SWE
Rob Harrop describes both his own journey from traditional Software Engineer to AI/ML Engineer, and his experience building a development team with ML at the heart.
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Adding AI Smarts with Cognitive Services
Stephen Bohlen discusses Microsoft’s Cognitive Services, how to use them, exploring services for Facial Recognition, object detection, NLP, as well as Topic Extraction and Sentiment Analysis.
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Preparing Humans for the Second Machine Age
Dominic Price prepares his listeners for the world of 2020, the role that AI, automation and robots will have, and what people should do to stay human and build an environment where they thrive.
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Data Science for Developers: The Big Picture
Matthew Renze discusses what data science is, why it’s important, and how to prepare for it. He covers IoT, Big Data, ML, and how they are converging to create fully-autonomous intelligent systems.
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Getting Data Science to Production
Sarah Aerni covers the nuts and bolts of the Einstein Platform, a system that enables the automation and scaling of Artificial Intelligence to 1000s of customers, each with multiple models.
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