Artificial Intelligence & Machine Learning

When: 11th Oct 2018, 18:00 - 11th Oct 2018, 21:00
Where: MMU Business School, 3rd Floor, Room 5.02 (Building 6), All Saints, Manchester, M15 6BH
Town/City: Manchester
Organiser: BCS Manchester Branch
Price: Free
Further Information: Further Information

Please note, this event will start with the BCS Mancheter Branch 2018 AGM.

Speakers:
Steven Bryen and Martin Fergie

Details:

Steven Bryen

Steven BryenSteven Bryen is a Senior Technical Evangelist at Amazon Web Services, based in London.

He is passionate about emerging technologies and often speaks with developer communities around the world. As an AWS Evangelist, Steven helps to increase awareness of AWS cloud services and to help customers understand the benefits that taking advantage of the cloud can deliver.

Steven has many years of experience in designing and building highly scalable Application and Infrastructure Architectures. Prior to joining AWS, he has worked in technical and leadership roles across various industries including Financial Services, Telco and Technology.

Talk: AI & Machine Learning at Amazon

Dive into AI and ML with services from AWS that remove the day to day heavy lifting normally involved in building AI models that are easily deployed and consumed at cloud scale. 

Dr Martin Fergie

Martin Fergie is a computer science researcher at the University of Manchester in the Division of Informatics, Imaging and Data Sciences. After completing his PhD in 2012, he became the Chief Technology Officer of DigitalBridge, a start-up applying deep learning technology for performing image understanding for indoor scenes.

In March 2017 he moved to the University of Manchester to apply his experience in machine learning and computer vision to help develop novel imaging biomarkers. His current research is focused on developing models for predicting breast cancer risk from screening mammograms.

Talk: Machine Learning in Precision Medicine

Martin’s talk will introduce the concept of precision medicine, and how machine learning can be used to derive novel imaging biomarkers to aid with stratified medicine. He will give an overview of some interesting applications, including a project at the University of Manchester for predicting breast cancer risk at screening using mammogram data.

Car Parking: Free parking: The nearest car park to the Business School is the John Dalton car park underneath the Mancunian Way. The carpark is accessed south off Chester Street, M1 5GD, and is located close to the back entrance of the Business School. Drive towards the south of the car park, park up, and enter the Business School via the rear entrance between buildings 5 and 6 on the campus map. There are 12 designated disabled parking spaces. The spaces are clearly marked and have sufficient width to allow wheelchair users to get in and out of their vehicles. All of the John Dalton car park is on one level smooth surface on the ground floor.

Travel Options to the Business School: The Business School is situated just off Oxford Road on the Manchester Campus (All Saints). The closest railway station is Manchester Oxford Road, which is 0.3 miles away. Manchester Piccadilly Railway Station is 0.9 miles away and Manchester Victoria is 2 miles. Taxis can be pre-booked through Radio Cars, who also have wheelchair accessible taxis. Their contact number is 0161 236 8033. There are taxi ranks outside each railway station and the nearest drop off point at the Business School is either Ormond Street or Cambridge Street, close to the Business School entrance. Sat Nav postcode: M15 6FH

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