Last week I was privileged to be part of our AI and HPC Field Trip to Iceland. The goal of the trip was to share insight and observations around the evolution of AI deep neural network (DNN) training and to tour our HPC-optimised data center. The attendees spanned DNN veterans like Eric Sigler of OpenAI, large enterprise data science leaders like Pardeep Bassi of Liverpool Victoria Insurance (LVE) and start-up pioneers like Max Gerer of e-bot7.
Deep learning is a current hot topic in HPC and I am sure it will be one of the key themes at SC18. In many cases, we have been hearing about artificial intelligence, machine learning, and deep learning discussed together, though in reality, machine learning is a type of AI, and deep learning is a subset of machine learning. In this article, we will try to best define deep learning and its industrial applications and, more specifically, the benefits of scale - from big data to high-performance computing - to the successful implementation of deep learning.
Amazon's AI made the news early in October after it was revealed that the company had scrapped a recruitment engine because it was 'sexist'. Private Eye, the UK's satirical news magazine, described it as "a reminder to take an extra big pinch of salt whenever you hear that AI will improve the world". However, the reality is more complicated...
It was a treat to be in Germany for the last two weeks attending NVIDIA's GTC Europe in Munich and prior to this the HPC User Forum in Stuttgart. The Autumn weather was mostly warm and sunny - great for the Octoberfest but certainly not “free air cooling” for computer clusters despite most of Europe’s AI, HPC and Virtual Reality boffins being in town! Once again, here are some observations and insights from my travels...
It’s been a while since I wrote a blog so I thought there was no better opportunity to pick up where I left off and write something about my recent trip to the Meteorological Technology World Expo in Amsterdam. This was also the venue for where we announced our latest customer win – Centro Epson Meteo, one of Europe’s most innovative meteorological forecasting organisations who I am delighted to say chose Verne Global for their high performance computing (HPC) requirement.
Data-intensive research and the use of advanced digital resources are key to addressing research grand challenges of our age, for the benefit of science, society, and industry. This article focuses on industrial opportunities, including potentially neglected applied research topics, and how access to high-performance computing (HPC) can provide companies with a competitive advantage.
As we at Verne Global prepare to attend the Meteorological Technology Expo in Amsterdam later this month, it occurred to me that as a society we have an extraordinary number of superstitious methods for predicting the weather, from cows lying down meaning that it’s going to rain (though there’s actually no truth in that) to “red sky at night, shepherd’s delight” (which might actually have a little truth in it).
Formula 1 seems to crop up quite often in my work. I’ve been given a tour of McLaren’s headquarters, discussed wheel-nut troubles with the CIO of Williams and even interviewed the people responsible for making the batteries that store brake energy in the cars. I’m a technology writer, not a sport or motoring journalist but F1 is perhaps the most tech-enabled sport in the world so it comes up frequently. And even to someone like me, who has little interest in what happens on the track, the sport is fascinating off the circuit.
As we build-up to SC18, Verne Global is delighted to welcome Brendan McGinty, Director of Industry for the National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, as a Guest Blogger. In his first blog Brendan looks at the industry trends around supercomputing and industrial HPC, and how these are advancing innovation in key markets.
It’s been almost a couple of months since my last blog and my marketing team are getting unpeaceful! Luckily there is nothing like the energy and bustle of an industry trade show to get you back into the groove.
Demand for high performance computing (HPC) is growing fast - and you might expect it to become kind of generic. But leading research sites like CERN still make extreme demands.
The impact of AI on the lives of consumers and the operation of businesses is slowly growing. Whether it’s the increasing visibility of autonomous vehicles or the small conveniences of a voice assistant such as Amazon’s Alexa, we’re beginning to get a sense of what AI can do. However, we’re still at the beginning. The truly significant changes are yet to come.
Being a daytime Londoner one of my favourite pastimes is to take an occasional ride in a proper London black cab and have a natter along the way. That is often a pretty cathartic experience - probably more so for the driver than the passenger, but I find it entertaining being the listening post, and London cab drivers are a good measure of the mood of the city. Recently I've had some great conversations about Ai and it's impact on society.