Data Centers

Data centers are facing a complete overflow, and therefore operators are looking for new ways to accelerate a host of data-driven workloads ranging from deep learning to natural language processing. Jump in deep for a look at the agile and hyper-converged data center architectures accelerating AI model training and inference, data analytics, and other distributed applications.

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Q&A with Bill Fox, SambaNova - Practical application of NLP, Computer Vision and Recommendation Models

We caught up with Bill to discuss his festival session, what excites him about AI, the biggest challenges for organizations adopting AI, and...

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Machine Learning

Top 5 AI Trends to Watch in 2021

It’s time to turn our sights to the year ahead - and take a look at the AI topics that we’ll all be hearing more about in 2021....

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Data Centers

Event-based Neuromorphic Computing

Neuromorphic computing utilizes electronic technology to replicate the computational properties of biological processes. Spiking neural networks are compute engine of neuromorphic models. Unlike...

ML on the edge: Hardware and Models for Machine Learning on Constrained Platforms

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Data Centers

ML on the edge: Hardware and Models for Machine Learning on Constrained Platforms

Deep neural networks are a key technology at the core of advanced audio and video applications. As these applications begin to migrate from...