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TWIML Presents: SigOpt AI & HPC Summit

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Thanks to our sponsor! Thanks to our friends at SigOpt, and Intel Company, for their continued support of the podcast, and their sponsorship of this series! Experimentation is critical for AI model development, but is messy and tough to get right. This is why most modelers use tools that help them track what they’ve done.…

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House Hunters: How ML at Redfin is influencing the housing market with Akshat Kaul

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“We are not trying to recreate SageMaker. What we’re trying to do is bring together all of these already existing tools and make it easy for those things to be used with our data.”

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Fighting Malware with Adversarial Machine Learning

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“Build the best solution you can and see how the adversary adapts.”

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Pondering Memory in Deep Neural Networks with Andrea Banino

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“I think there’s lots of stuff we can do to improve transformers and memory in general, in reinforcement learning, especially in relation to the length of the context that we can process.”

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Dungeons, Dragons, and Deep Reinforcement Learning with Tim Rocktäschel

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“How do we make sure agents just get excited about expanding their knowledge about certain dynamics in the environment?”

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TWIML Community Survey

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Here at TWIML, we love listening to our guests, but it’s equally important to us that we listen to you, our TWIML Community! We wanted to create an easy way to hear about what you’re interested in, so we recently launched the TWIML 2021 Community Survey. Let us know how we’re doing, and how we…

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Building Communities at Stack Overflow with Prashanth Chandrasekar

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“Ultimately, it’s all about making sure that we’re building thriving communities.”

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Optimizing 5G at Qualcomm with Joseph Soriaga

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“The trick was trying to find the right model for the particular problem.”

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Rebuilding the Brain from AI “Legos” with Kanaka Rajan

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“I essentially build artificial models that make the biological brain, but are much more simplified and engineered.”

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Advances at Microsoft Speech with Li Jiang

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“Speech is the most natural way to communicate, so using voice to interact with machines has always been one of the top scenarios associated with AI.”

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