In December, Lample and Charton from Facebook’s Artificial Intelligence Research group published a paper stating that they had created an AI application that outperformed systems such as Matlab and Mathematica when presented with complex equations. Is this a huge leap forward or just an obvious extension of maths solving systems that have been around for years? Let’s take a look.Continue reading Facebook’s Maths Solving AI
Day 2 of rework started with some fast start up pitches. Due to a meeting at the office I missed all of these and only arrived at the first coffee break. So if you want to check out what 3D Industries, Selerio, DeepZen, Peculium and PipelineAI are doing check their websites. Continue reading ReWork Deep Learning London September 2018 part 3
This is part 2 of my summary of the Rework Deep Learning Summit that took place in London in September 2018, and covers the afternoon of day 1. Part one, which looks at the morning sessions can be found here. Continue reading ReWork Deep Learning London September 2018 part 2
September is always a busy month in London for AI, but one of the events I always prioritise is ReWork – they manage to pack a lot into two days and I always come away inspired. I was live-tweeting the event, but also made quite a few notes, which I’ve made a bit more verbose below. This is part one of at least three parts and I’ll add links between the posts as I finish them. Continue reading ReWork Deep Learning London September 2018 part 1
If you’ve read pretty much any other of my artificial intelligence blog posts on here then you’ll know how annoyed I am when the slightest advance in the achievements of AI spurs an onslaught of articles about “thinking machines”, that can reason and opens up the question of robots taking jobs and eventually destroying us all in some not-to-be-mentioned1 film franchise style. Before I get onto discussing if and when we’ll get to a Detroit Become Human scenario, I’d like to cover where we are and the biggest problem in all this. Continue reading Thinking machines – biological and artificial
If you’ve not read the day 1 summary then you can find that here.
Day 2 had a new host for track A in the form of David D’Souza from CIPD. His opening remarks quoted Asimov and Crichton and encouraging us not be magicians and to step back and think about what we should do rather than just what we could. Continue reading AI Congress London 2018 Day 2
London is a hive of AI activity. The UK is positioning itself as a leader in AI technology and you can barely walk around London without passing an AI company or meetup or training course1. If I didn’t actually have a day job, I could fill my time with AI conferences without actually doing much more than my daily commute. That said I am quite picky about the ones I go to. I’d never been to the AI Congress before and liked the diverse set of speakers and topics. I was lucky that the team at Logikk had invited me as their guest for the two days. So how did it stack up? Well, day 1 was at a much higher level than some of the other conferences I’ve been to, with a lot of implementation and enterprise discussions and far fewer talks on the technical implementations. If you’re senior then these conferences are for you. If you want someone to talk about their latest paper on arxiv then there are far more technical events that will suit you better.
One of the biggest problems I had was that there were three separate tracks and only one of me, so if I didn’t make notes on a particular talk then hopefully the slides will be available after the event at some point. I missed some of the high profile talks, in preference of other speakers, on purpose as I’d already heard those speakers at other events. Continue reading AI Congress London 2018 Day 1
I’ve taken longer than I normally would to respond to some recent news stories about AI “outperforming humans” in reading comprehension “for the first time”. Partly because I can’t help the wave of annoyance that fills me when I see articles so obviously designed to instil panic and/or awe in the reader without any detail, but also because I feel it’s important to do some primary research before refuting anything1. The initial story broke that an AI created by Alibaba had met2 the human threshold in the Stanford Question Answering Dataset (SQuAD) followed closely by Microsoft outperforming Alibaba and exceeding the human score (slightly). Always a safe bet for sensationalism, mainstream media pounced on the results to announce millions of jobs are at risk…. So what’s really going on? Continue reading AI better than humans at reading?
I love the fact that here in the UK everyone can be involved in shaping the future of our country, even if a large number of individuals choose not to and, in my eyes, if you don’t get involved then you don’t have the right to complain. While this is most generally applied to the election of our representatives from local parish councils to our regional MPs (or actually standing yourself)1 there are also a lot of other ways to be involved. In addition to raising issues with your local representative, parliament has cross bench committees that seek input from the public and to help create policy or consider draft legislation.
Our elected parliament is not made up of individuals who are experts in all fields. Even government departments are not necessarily headed by individuals with large amounts of relevant experience. It is critical that these individuals are informed by those with the experience and expertise in the issues that are being considered. Without this critical input, our democracy is weakened. Continue reading Submitting evidence to parliament committees
Yesterday I had the great pleasure in being part of the global WiDS2017 event show casing women in all aspects of data science. The main conference was held at Stanford but over 75 locations world wide had rebroadcasts and local events, of which Reading was one. In addition to spending a great evening with some amazing women, I was asked to speak in the career panel on my experiences and overall journey. Continue reading WiDS2017: Women in Data Science Reading