10 July 2019
Barclays Eagle Labs AI Frenzy Breakfast Seminar
To watch our Coverage of the AI Frenzy Breakfast Seminar on our Youtube Channel Click Here.
AI Frenzy started with an introduction from James Cruickshank, Power Systems Technical Architect at IBM, to our escaped enemy, Moriarty. After taking a brief look at the power of ‘word of mouth’ and the description of the escapee we began to discuss the idea of how to catch our nemesis with AI Vision using an easy interface to recognise Moriarty by the clothes he is wearing. We need to programme this AI to function on a highly advanced AI code, to be able to not only recognise items of clothing similar to those that Moriarty is wearing but narrow down the number of people wearing similar items combined until we find the one and only Professor James Moriarty.
Following this fun game of security camera hide and seek, we take a look at the history of machine learning at IBM.
In 1997, IBM developed a computer called IBM Deep Blue that beat the world chess champion, Garry Kasparov, after a six-game match. The contest demonstrated important advances in computer science, furthering the ability of computers to handle the kinds of complex calculations needed to help discover new medical drugs; do the broad financial modelling needed to identify trends and risk analysis, to handle large database searches and perform massive calculations. (Source)
In February 2011 an IBM Research project developed the AI called Watson for the TV quiz show Jeopardy, to compete against the reigning champs of the show. (Spoilers, Watson won.) At the time, Watson was a computer running software called Deep QA, an early form of machine learning and language processing. Prior to the show, Watson would pull lots of information from the internet. Today, Watson is an advanced AI platform. The Watson AI impressed everyone involved with the level of empathy it could deliver during a debate. (Source)
Next, we explored the three types of AI technology and how it learns and behaves. AI, Machine Learning and Deep Learning. Now we have the capabilities to contain larger amounts of data, we find AI is better at making accurate predictions due to the larger amount of data we could put into it. GPU drives are in a lot of technology now and are being used for making the algorithms in AI. A GPU driver is a software that handles communication between the computer, games and applications, and the graphics card component.
Next, we took a look at ImageNet, the ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured to aid in AI Image recognition technology. (Source)
But using the AI is difficult as it’s harder to identify errors. Hopefully, AI could be programmed to be used in medical practices to identify medical issues such as cancer tumours. The AI could be used to narrow down the numbers of scans the doctors would look at by taking out the majority of benign tumours and highlighting the active ones.
We then take a look at a few of the slido questions our audience has sent in during the speech, ‘How can we resolve issues around algorithmic bias?’ James Cruickshank answered confidently, “If the data we input has a bias then that can lead to this problem. At IBM they have an AI team who is discussing this, the key thing is that an AI is used ethically, and being very transparent with the data that’s inputted. For example, an AI that can decide if a mortgage can be given, and give reasons why, but not to be biased about gender.”
Lastly, we took a look at the IBM developer platform with Kathyrn Waller, a manager in IBM’s Barclays client team. IBM Developer is a free web-based professional network and technical resource centre from IBM for software developers, IT professionals, and students worldwide. A platform for coding enthusiasts with code patterns and tutorials and meetups for the global coding community.
To explore the IBM Developer platform, click here
Barclays Eagle Lab eco-system manager Gez Overstall commented, “We’re really grateful to James and Kathryn for coming over and sharing what IBM is doing in this space with local businesses. AI technology is past the hype stage now, and we want to make sure that businesses in Guernsey are able to use this expertise to support their growth and innovation.”
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