Integration of AI systems at scale

Today, data scientists and machine learning engineers can implement systems for tackling discrete tasks with a very high degree of success. Results in fields such as image processing to support cancer diagnosis can be extremely accurate, with the best performing algorithms even exceeding experienced clinicians for certain categories of cancer diagnosis.

 

Big tech is leading on data privacy – other firms must follow

Business historians might one day see 2018 as a pivotal year. We are in the midst of an AI revolution, with more and more data being processed by algorithms that will help us to make better decisions or simply make the decisions for us. But the collection and exploitation of this data is not without costs and historians might view this year as the year when society began to realise that.

Tech Giants' Shadow Looms Large across the European Financial Community

FT's recent article “EU bankers step up warnings on threat from big tech” highlights moves by the European Union (EU) to provide a level playing field in the European finance sector. Undoubtedly EU financial institutions are aware of the threat to existing business models posed by the global tech giants, and this concern may have been recently exacerbated by the new Open Banking regulations, which as the article suggests may allow the easy identification and cherry picking of the most lucrative parts of the business.

Explainable AI

SC18 here in Dallas is proving once again to be a fascinating melting pot of HPC insights and observations, and it's intriguing to see the continuing convergence of AI into the supercomputing ecosystem. Along these lines I started to think about the movement towards 'Explainable AI'. Being able to explain and understand how models work when making predictions about the real world is a fundamental tenet of science. Whether solving equations in a dynamic system for precise answers or using statistical analysis to examine a distribution of events, the results sought from these methods are intended to increase our clarity and knowledge of how the world works.

SC18 - My Schedule Highlights

SC18 gets underway in Dallas, Texas, today, kicking off a week of panels, workshops and tutorials. This is the 30th year of the conference, which is properly known as the International Conference for High Performance Computing, Networking, Storage and Analysis. It's an exhausting schedule to navigate and even experienced attendees will have to do some diligent research to pick out the highlights. Here are mine...

What to look out for at SC18

SC: The big show with an international HPC audience celebrates its 30th year in 2018. It’s the World Cup of supercomputing and now it’s more than “just” supercomputing. Advancements in data analytics have topics like artificial intelligence (AI), including machine learning and deep learning, as stars of the show. Here's what I am looking forward to seeing in Dallas...

AI Icelandic Style – Deep Learning in Reykjavik

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 at Scale

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.

AI needs to be ‘explainable’ but is that possible?

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...

GTC Munich – Rumours from the trade show floor

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...

Welcome to Centro Epson Meteo

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.

Opportunities in Applied Research and HPC

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.

Meet us in Amsterdam to discover how HPC is transforming weather simulation

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).

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