InfoQ Homepage Artificial Intelligence Content on InfoQ
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Product Management of AI Products
Manjeet Singh discusses how to bring AI to enterprise product lines, how to analyze, plan, and design AI in a SaaS environment along with practices and lessons learned from Agile AI product lifecycle.
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Challenges & Solutions for a Blockchain-Powered Future
Eran Eyal talks about how the advent of blockchain technology promises a new era of more equitably distributed market power, the top 3 challenges adopting blockchain and the challenges of a visual AI.
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R for AI developers
David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.
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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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