Advances in machine learning are removing some of that time-consuming knob tweaking, according to Tomer Morad who is CEO and co-founder of Concertio. His company has been working on the auto-tunng problem and today we will talk about what it takes to develop smarter system optimization.

Automatic System Optimization with Machine Learning

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On this episode of “The Interview” with The Next Platform we talk with Heather Ames, a co-founder at bioinspired AI startup, Neurala about the co-evolution of neurology and computing into a range of real-world use cases for AI.

Trends in Bioinspired Computing

On today’s episode of “The Interview” with The Next Platform we talk with one of the creators of HPCG, Sandia National Lab’s Dr. Michael Heroux. Interestingly, Heroux co-developed HPCG with one of the founders of the Top 500 LINPACK benchmark, prompting many early on to suggest HPCG was going to compete with the Top500 as the go-to benchmark for the HPC community.

What’s Ahead for Supercomputing’s Balanced Benchmark

On today’s episode of “The Interview” with The Next Platform, we discuss the role of higher level interfaces to common machine learning and deep learning frameworks, including Caffe.

Barista an Easier Brew for Deep Learning on Caffe

We talk with the iRODS consortium about what the technology and group aims to provide for scientific and enterprise users.

iRODS: Open Source Data Management for All

On today’s episode of “The Interview” with The Next Platform we talk about the growing problem of networks within networks (within networks) and what that means for future algorithms and systems that will support smart cities, smart grids, and other highly complex and interdependent optimization problems.

Automatic System Optimization with Machine Learning

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