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Scaling Deep Learning to Petaflops and beyond!
Prabhat explores 2D and 3D convolutional architectures for solving pattern classification, regression and segmentation problems in high-energy physics, cosmology and climate science.
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Scaling Emerging AI Applications with Ray
Peter Schafhalter discusses about his work with Ray, a distributed execution framework for emerging AI applications, Tune, and Modin.
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Using Your Super Powers to Boost Your Career Development
Francisco Jordano talks about the challenges of developing your own career, as it's not easy or clear what the steps are.
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Learning from Chaos: Architecting for Resilience
Russ Miles, CEO of ChaosIQ.io, shares how leading organizations are successfully adopting chaos engineering to encourage a mindset of "architecting for resilience".
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What Lies between: the Challenges of Operationalizing Microservices
Colin Breck presents practical approaches to take microservices into production or increase the value provided by existing systems and also explores how to integrate microservices at scale.
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Reactive Systems Architecture
Jan Machacek and Matthew Squire give us the answer to the click-baity headline “Four things that make the biggest impact in distributed systems”, together with architectural and code examples.
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Discovering Culture through Artifacts
Mike McGarr shares an approach to discovering organizational culture through its artifacts and the key artifacts we can seek out that allow us to build an understanding of an organization's culture.
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Machine Learning Engineering - A New Yet Not So New Paradigm
Sravya Tirukkovalur discusses how ML engineering leverages skills from other engineering branches such as principles and tools, development and testing practices, and others.
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wav2letter++: Facebook's Fast Open-Source Speech Recognition System
Vitaliy Liptchinsky introduces wav2letter++, an open-source deep learning speech recognition framework, explaining its architecture and design, and comparing it to other speech recognition systems.
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Reinforcement Learning: Not Just for Robots and Games
Jibin Liu presents one of his projects at eBay where the team used RL to improve crawling of targeted web pages, starting from the basics of RL, then to why and how to use it to power web crawling.
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Petastorm: A Light-Weight Approach to Building ML Pipelines
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds, simplifies data management and data pipelines, and speeds up model experimentation.
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Orchestrating Robot Swarms with Java
Matthew Cornford focuses on Ocado’s latest generation of highly automated warehouses and looks into Java’s role for orchestrating huge swarms of robots for superior efficiencies of scale.
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