We all know that “the Internet changed everything”, but sometimes we don’t realise how big those changes have been. Let’s have a look at one vertical sector: retail.
When the world wide web first put a user-friendly skin on the Internet in the early 1990s, people suddenly realised they could buy and sell things online. The actual implementation took a while: no-one had broadband, and proper security was impossible as the encryption algorithms such as RSA were classed as munitions by the US, and could not be sold. The first thing I bought online was the Perl script munitions T-shirt around 1992.
Only artificial intelligence (AI) can prevent social media firms from shutting their doors. Costs, fines and executive jail terms are threatened as the government tackles online harm.
Stricter regulation of social media companies is now high up on the agenda of many national governments. In the UK plans are in place to create a statutory duty of care toward social media users, and a new independent regulator with powerful sanctions is to be established.
The long-lasting Icelandic winter didn’t impact the momentum of our second AI and HPC Field Trip. Once again we gathered around 15 practitioners from the worlds of AI, machine learning, deep learning and high performance computing to network and brainstorm together, as well as tour our industrial scale campus on Iceland’s former NATO based near Keflavik.
Nvidia’s GPU Technical Conference (GTC) in San Jose always marks the start of spring. Although at this time of year the daffodils haven’t yet broken ground in Boston, but the days are warming, and the snow is becoming less frequent. In San Jose spring was in full swing with sunny days and temperatures above 20⁰C following a winter of record rains. The GTC conference addresses all things GPU and increasingly their AI use cases. Over the few years the number of attendees has ramped from a few thousand to currently in the region of 9,000. The largest grouping of attendees appears to be applying GPUs to AI deep neural network training and inference.
As a French citizen living in London with the dark Brexit cloud looming over us all, I am pleased to see some things moving in the right direction in my beloved home country such as the massive investments the Macron government has made to push for tech innovations throughout the country and the upgrades it so desperately needed.
Sometimes the combination of networking at a trade show and catching an insightful presentation provide a valuable insight into market dynamics. Earlier this year I attended the HPC and Quantum Computing show in London and following this, watched Addison Snell’s (CEO of Intersect360 Research) “The New HPC” presentation from the Stamford HPC Conference. Both confirmed my HPC suspicions garnered over the last year.
BeeGFS is a parallel file system suitable for High Performance Computing (HPC) with a proven track record in scalable storage solution space. In this blog hosted by Verne Global, we explore how different components of BeeGFS are pieced together and how we have incorporated them into an Ansible role for a seamless storage cluster deployment experience.
Generally, trade shows follow the sun and tourists to popular vacation destinations. Everyone loves a conference in San Diego or Orlando! The recently rebranded NeurIPS (formally NIPS) took a different road this year and visited Montreal in early December. Montreal is one of my favourite cities but in early December it’s the season for cold, cloudy weather and infrequent freezing rain. Here's a quick rundown on my experiences at the conference.
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.
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.
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.
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 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...