Artificial intelligence has progressed immensely in the past decade with the fantastic open source nature of the community. However there are relatively few people, even in the research areas, that understand the history of the field from both the computational and biological standpoints. Standing on the shoulders of giants is a great way to step forward, but can you truly innovate without understanding the fundamentals?
I go to a lot of conferences and I’ve noticed a subtle change in the past few years. Solutions that are being spoken about now don’t appear to be as far forward as some of those presented a couple of years ago. This may be subjective, but the more I speak to people about my own background in biochemically accurate computational neuron models, the more interest it sparks. Our current deep learning model neurons are barely scratching the surface of what biological neurons can do. Is it any wonder that models need complexity and are limited in their scope? Continue reading Biologically Inspired Artificial Intelligence
I chaired a breakfast meeting for Women in Data Science recently, and one of the topics for discussion was how to retain talent. While demand is outstripping supply and the market is going crazy, it’s enough of a minefield finding good people in the first place.
Add to this that even after you’ve made an offer to someone, recruiters will be contacting them regularly to try to tempt them away to other roles. It’s impossible to prevent this. I’m a big believer in not playing games with recruitment – I know what I can afford and won’t get into a bidding war. If I’m paying a fair salary and they go elsewhere for money, then they are more likely to jump when a recruiter calls regardless of how well you incentivise them. This isn’t a big company or small company thing, if you want to keep hold of your team after you’ve done the very hard job of hiring them then you need to understand what motivates them and either make sure that you continue to provide those needs or plan to be hiring again in the next 12-24 months. Continue reading Incentivising data scientists
I work with many people who are recently out of academia. While they know how to code and are experts in their fields, they are lacking some of rigour of computer science that experienced developers have. In addition to understanding the problems of data in the wider world and testing their solutions properly, they are also unaware of the importance of source code control and deployment. This is another missing aspect from these courses – you cannot exist as a professional developer without it. While there are many source control setups, I’m most familiar with git.
I’ve recently written a how-to guide for my team and was going to make that the focus of this post, although I’ve seen some very good guides out there that are more generic, so I’d like to explain why source code control is important and then give you the tools to learn this yourself. Continue reading Source Code Control for Data Scientists
Back in those heady pre-internet days, if you wanted to learn something that you weren’t taught at school, it pretty much meant a trip to the library. I was pretty lucky, if I wanted a book and there was even a hint of anything educational in it, then it was bought for me.
I was further fortunate in that with a teacher as a parent, I had access to the Acorn Achimedes and BBC computers as they were rolled out to schools for the entirety of the school holidays. There was one rule: if you want to play games, write them yourself. While rose-tinted memory has me at the tender age of 7 fist-pumping and saying “challenge accepted”, I’m sure there was much more complaint involved, but I’m glad that I was encouraged. Continue reading Learning BASIC – blast from the past
Motivational posters, whether in their original form or the short images shared on social media, can instil multiple emotions. They can be positive or downright cringe-worthy, inspiring or bad advice… all superimposed on an image that may or may not correspond to the text.
The latest “fun” AI to go around is Inspirobot. This AI has been trained on the form and tone of motivational images, and at the touch of a button will generate one for you. There is a limited stock of images (I have had the same image more than once, but am still also getting new ones, so I’d estimate this is in the hundreds), but the text itself appears to be generated each time1.