In my previous blog, which you can check out here, I explored how AI has emerged as a brilliant accessory for environmental conservation. Ultimately, it's the energy resources we choose and the efficiency of their usage that affect our ecosystems. So how can AI tackle the root of the problem? I've been looking into some specific ways AI is strengthening our fight against global warming, as well as how AI consumers can ensure that the maintenance of their technology is as green as it can be.
SC19 was red hot this year as the race to exascale computing got into top gear. Not even the snow on the last afternoon damped the collective ‘exascale enthusiasm’. SC19 is our industry’s exhibition pinnacle and as normal, the weekend before the show opens on Monday evening is packed full of training sessions, briefings, industry updates, etc. that cover everything from the latest HPC and AI product releases and tools, to tours of nearby supercomputing centers.
As I’ve recently discussed in my latest blog post, artificial intelligence operates most efficiently when it is commoditising intelligence and decision making. Simple and repetitive tasks, and later complex and repetitive tasks, will be ‘solved’ through artificial intelligence. While we are starting to see real proof of the scientific and business benefits that come from this streamlining and processing of data, there are moral and ethical discussions beginning to take place.
Since the 2nd December the 25th United Nations Climate Change Conference (COP25) has been taking place in Madrid and next week sees the 10th anniversary of the excellent Sustainable Innovation Forum, organised by Climate Action. The forum is the largest business event alongside the conference and underpins the important role business and technology has in helping accelerate efforts to mitigate climate change. At the forum this year AI will be a major talking point - both in terms of its potential to protect ecosystems, and unfortunately - to damage, unless AI is powered by genuinely green energy.
Last month I moderated an AI disruptor panel at the World Summit AI in Amsterdam. Our conversation covered the moral, economic and practical considerations that need to be taken into account when it comes to the future disruptions AI will bring. As MIT President, L. Rafael Reif, was recently quoted as saying, “Technologies embody the values of those who make them, and the policies we build around them can profoundly shape their impact. Whether the outcome is inclusive or exclusive, fair or laissez-faire, is therefore up to all of us.” While this is true for every new technology, we are entering new territory when it comes to AI. How can your business be prepared for the impact of AI? Let’s take a look at three key elements to successfully making this transition.
Back in 2005 Steve Jobs delivered those two key messages to Stanford University graduates and they struck a chord with me. I’ve kept them front-of-mind throughout my career and they’ve shaped the way I work, as someone who is a customer-led, consultative technology business leader.
I’m starting to feel like a Formula 1 racing driver where every month is a new venue with huge crowds but in my case it’s AI industry events. This autumn I’m alternating events across the Atlantic providing a great insight into any differences in current practices between North America and Europe. Back in October I attended the excellent World AI Summit in Amsterdam. It was a great event and had a very new-age European feel to it, making extensive use of video, virtual reality and animation with a video DJ as the master of ceremonies. It was quite the AI Grand Prix pit-party!
It's lunchtime here in the beautiful city of Amsterdam where I am enjoying my time at the excellent World Summit AI, at which Verne Global are exhibiting, and earlier today our CTO Tate Cantrell moderated an engaging panel on today's hottest AI disruptors. As I take a breather from the networking, I thought I would write some thoughts about another excellent event which I went to a couple of weeks ago - Qubits North America.
Last week I travelled to the Italian capital, Rome, for an event which I believe will prove very significant for the international high performance computing (HPC) industry. After many years away from the HPC arena and the overall server market, AMD is back with a bang and a new range of powerful processors through its AMD EPYC series.
New York is always an exciting, energetic city to visit and last week was made even more so as I attended the ‘HPC & AI on Wall Street’ conference which HPCWire are now championing. It was well worth the train ride from Boston and interesting to see the varied mix of attendees present and hear how HPC and AI is evolving in the world of finance.
As a fan of the England national football team, I have gotten used to regular disappointment. Most recently there was the heartbreak of the 2018 FIFA World Cup semi-final loss to Croatia, and prior to that the embarrassment of not even making it out of the group stages in 2014. However, going back further there is one moment that stands head and shoulders above the rest for me, THAT Frank Lampard goal in the 2010 FIFA World Cup quarter-final between England and Germany.
This is the first of what will be several profiles of leaders in High Performance Computing (HPC), all answering the same six questions. My hope is that this will help us all to better understand HPC, including its origins, a variety of career paths, successes, and influences in the field. I hope you enjoy learning as much as I have.
First up, Dr. Seid Koric, technical director at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UIUC). Seid is a legend in HPC, multiple winner of HPCwire’s Top Supercomputing Achievement, and someone who I have been fortunate enough to know for about 20 years.
In my first blog discussing the role of AI in the music industry, which you can check out here, I explored how software is transforming the way music is produced behind the scenes. It led me to further explore how AI technology is learning to perform music itself, and to share my own opinions, speaking as a musician, on the exceeding potential but also definitive limitations of AI.