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AIMLACcommunity

@aimlaccommunity

UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing #AIMLAC

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calendar_today08-07-2019 12:07:03

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Day 2, we’re off! Students, partners and academics delivering a wide range of talks. Oh, and some of our useful merch Swansea University Computational Foundry #AI #AIconference #DataScientist #machinelearning #CDTAimlac #DICDT

Day 2, we’re off! Students, partners and academics delivering a wide range of talks. Oh, and some of our useful merch <a href="/CompFoundry/">Swansea University Computational Foundry</a> #AI #AIconference #DataScientist #machinelearning #CDTAimlac #DICDT
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AIMLAC CDT fully funded scholarship opportunities - 2023 recruitment round is open! findaphd.com/phds/program/t… Closing date 10th February 2023. @Rhianmelita @gert1107 Swansea University swanseaphysics Swansea Mathematics @SwanseaMedicine @swanscience

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We are excited to be working with In Kind Direct this year, a UK charity who believe everyone deserves access to life’s essentials and no usable product should go to waste. They connect companies and charitable organisations to ensure everyone has access to the products they need.

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We are delighted to be working with Magic Breakfast, a charity that delivers free breakfasts to school children facing hunger everyday. They work with schools to ensure that no child is too hungry to learn and thrive.

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We are excited to be working with SUDEP Action, a charity dedicated to raising awareness of epilepsy risks and tackling epilepsy deaths including Sudden Unexpected Death in Epilepsy. They are the only UK charity specialised in supporting and involving people bereaved by epilepsy.

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We don’t let technical difficulties get in our way! Our teams of analysts showed great ingenuity this morning and found inventive solutions to carry on the analysis with no internet! We have now relocated and are back online!

We don’t let technical difficulties get in our way! Our teams of analysts showed great ingenuity this morning and found inventive solutions to carry on the analysis with no internet! We have now relocated and are back online!
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The SUDEP Action team are still working hard! The most challenging part of this programme is getting our dedicated volunteers to take breaks!

The <a href="/SudepAction/">SUDEP Action</a> team are still working hard! The most challenging part of this programme is getting our dedicated volunteers to take breaks!
AIMLACcommunity (@aimlaccommunity) 's Twitter Profile Photo

AIMLACcommunity AI Conference, day one, Employability and Career Development panel discussion Q & A Chaired by Gert Aarts, panel Adrian Tate - NAT, Chris Cormac - Quant Foundry Ltd, Paul Coppin - Technology Boutique, Kelly Nock - JD Power UK and Paige Windiate - Swansea Uni.

<a href="/AimlaCcommunity/">AIMLACcommunity</a>  AI Conference, day one, Employability and Career Development panel discussion Q &amp; A Chaired by Gert Aarts, panel Adrian Tate - NAT, Chris Cormac - Quant Foundry Ltd, Paul Coppin - Technology Boutique, Kelly Nock - JD Power UK and Paige Windiate - Swansea Uni.
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Day 2 Amy Lacny Conference. Natalia Sikora - Multi-objective de novo drug design for difficult drug targets. A solution for paediatric brain tumours? Cory Thomas - Using AI to explore breast cancer development and Maciej Glowacki - Helping Britain achieve net zero. Thank you all!

Day 2 <a href="/aimlac/">Amy Lacny</a> Conference. Natalia Sikora - Multi-objective de novo drug design for difficult drug targets. A solution for paediatric brain tumours?  Cory Thomas - Using AI to explore breast cancer development and Maciej Glowacki - Helping Britain achieve net zero.  Thank you all!
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AIMLACcommunity Day 3, more interesting talks from the students. Sama Al-Shammari talk on Simulation-based inference of gravitational wave signals from black hole pairs towards addressing modelling systematics. Prakhar Sharma talk on Physics-Informed Neural Networks (PINNs)

<a href="/AimlaCcommunity/">AIMLACcommunity</a> Day 3, more interesting talks from the students.  Sama Al-Shammari talk on Simulation-based inference of gravitational wave signals from black hole pairs towards addressing modelling systematics.  Prakhar Sharma  talk on Physics-Informed Neural Networks (PINNs)