List of hackathons in West End, United Kingdom in 2019

Part VR game prototype, part political satire, play as the world's most powerful toddlers hell-bent on conquering the world before nap time

Presented by Charlie Paradise

Take part in the making of the most beautiful, tremendous game you’ve ever seen. No coding required!

CCP PET-MR Developers Team is delighted to announce that the fourth CCP PET-MR Hackathon will take place at Univesity of Bath School of Management, 8 West building, Room 2.23, from 13:00 on Sep 23 (light lunch served from 12:00) to 17:00 on Sep 24 2019. In our 4th hackathon, we will go back to extending the functionality of SIRF and CIL for synergistic reconstruction targeting PET/MR. This will involve working on synergistic priors and algorithms, and extending the interoperability of SIRF and CIL. A specific aim is to prepare for the upcoming Training School associated to our Synergistic Reconstruction Symposium, see http://synergimrecon.org/. Please check our web-page https://www.ccppetmr.ac.uk/node/194 for updates and further information. Accomodation on Monday night will be reserved when registration closes. As usual, the hackathon will be free and all travel and subsistence expenses will be reimbursed by CCP PETMR after the event.  

A hackathon exploring networks of the past

Develop new drone algorithms and artificial intelligence in a joint UK-US hackathon

Quantum Computing Hackathon for the Space Sector  Networked Quantum Information Technologies (NQIT), the UK quantum computing hub, and the Satellite Applications Catapult are excited to be hosting a Quantum Computing Hackathon on 15th March 2019 in Oxford. The hackathon will offer participants the opportunity to look into the ways in which quantum computers can be used to address challenges within the space sector and encouraged to apply their coding skills to propose potential solutions. While you don’t have to have any prior experience of hackathons, the popularity of this event means we have to ask that you have a background in a relevant field (the space sector, mathematical or physical sciences or quantum information processing) while being from an academic, industry or government background. Most importantly however, we ask that you bring your knowledge, creativity and energy to the day. As a free event, the day will kick off at 9am through until 5pm and will include free lunch, followed by beer and pizza (!) but please note that we cannot cover your travel or accommodation costs. This is a great chance to work in a friendly collaborative atmosphere, to learn new skills and to help to develop a road map for an industry-relevant application. Please note: Space is limited and due to the popularity of the Quantum Computing Hackathon, we are committed to ensuring that attendees represent a cross section of backgrounds and experience. The registration form will allow you give us a brief description of your background and knowledge and we will then confirm your attendance via email by Monday 11th March 2019 at the latest. 

36h hackathon in the beautiful south of England. Come hack with us on your craziest ideas! Mighty hackers and tech lovers, the time has come to prove the world who's the best hacker in South England! This is the moment that all HackaSotoners have been waiting for since the beginning of the academic year. If you've attended a hackathon before, you know how much fun they are. If you haven't, come and we'll show you! HackaSoton and Fish on Toast are inviting you to the biggest hackathon of the year: Hack The South! We're calling out for people with ingenious thinking, rockstar programming skills, curious beginners, designers, or even business heads, to join us for an entire weekend of hacking. Here's how it works: if you have an idea, you come over and pitch it to form a team; if you don't know what to work on, join others and lead your team to glory (i.e. winning the hackathon). If you're a pro, you'll surely find something challenging to work on. However, even if you're just starting or only know Java (hey, if that's what they teach at uni...) don't fear—people with no prior coding experience managed to deliver awesome results in past hackathons.We know, we know: "hacking" the world is not an easy job. FOOD and REFRESHMENTS will be provided throughout the weekend, as always. There's that quote... Stay Hungry Stay Foolish... well, not at our hackathon ;)We are very excited about this and we are expecting to see some amazing ideas come to life by the end of the hackathon. Our amazing Gold sponsors are Deutsche Bank, American Express, and Hunter Bond. We also have ASV (Bronze Sponsor), MLH, Sticker Mule, GitHub, and The University of Southampton on our side. TICKET TYPES Hacker: Participants who can code, design, build, hack, crack, or otherwise do everything they can to complete a project. Designer: Participants whose main skillset is in design and would like to focus on that at the hackathon. Entrepreneur: Participants whose main skillset is in business / entrepreneurship and would like to focus on that at the hackathon. General Admission: Anyone who would like to see the final presentations on Sunday. This does not include participation at the event. INFO There is more information on our website at hackthesouth.co.uk. For any questions please email us at hack@soton.ac.uk. After you buy a ticket, we will send you regular reminders and more informations closer to the event date. FAQ Q: What is a hackathon?A: During a hackathon you have 24 to 48 hours to work with a small team on something new and exciting. You will compete with other teams, but in the end everyone is a winner! Q: What can I make?A: Anything! A website, an application or you can work with hardware as well! See below about hardware hacks. Q: Does this cost money?A: Nope. It is completely free! Q: Do I have to know how to code?A: No, as long as you want to work with others to help develop yours, or someone else’s idea! Generally, we need developers, designers and entrepreneurs. Q: Is food provided?A: More food will be there than you can imagine. Q: Can I sleep there?A: There will be a sleeping area, but you should bring a sleeping bag if you really wish to sleep. Q: Can I do hardware hacks?A: Yes of course! We will have some hardware on the day to hack on. We are also able to provide a variety of tools and other equipment. If there's something you particually want, get in touch after registration so we can try to get hold of it! Q: Can I bring _____?A: Probably, yes. For rather obscure, large or potentially dangerous items please get in touch first to check as we don't want to dissapoint on the day. Q: Do I need to have a team to join? A: It's up to you if you'd like to form a team before or at the event. We're happy either way, in fact it might be better for you if you already have a team as you'll already know each other. Q: How big are the teams going to be? A: We'd like teams to have 4-6 participants. Q: Are there any rules?A: To make sure everyone feels safe and welcome, all attendees, including hackers, volunteers, organizers, sponsors, judges, mentors, and MLH staff are required to follow the MLH Code of Conduct. For any problems please contact the organisers. Q: What are the judging criteria?A: Our judging criteria are Technical Innovation, Technical Difficulty, Design, Execution, Pitch. Q: Can I get an invitation letter for my visa application?A: Yes, please fill in this form and we'll reply in a few days. Q: Do you give any travel reimbursements?A: Unfortunately no, we do not have a budget for travel reimbursements this year. Q: Do I have to be a student to attend?A: We only accept students, to keep the competition fair for all participants. You can still join if you've recently graduated or haven't gone to university yet but are 18 or over. There are more FAQs on MLH's website.

Description The representation of molecules as connected graphs and the application of graph theory has been very useful in defining aspects of molecular structure, molecular energy levels and identifying unique topology features. In the workshop we seek to explore the ways in which molecular graphs can be used to drive property and other predictions using Machine Learning and other AI techniques.  All ideas welcome – come and discuss and debate and come up with new plans! There will be two keynote talks, and a chance for participants to present their areas of research and ideas. Lunch will be provided, and the day will end with networking drinks.  Keynote Speakers There will be three keynote talks from experts in this field.  Professor Mahesan Niranjan - Professor of Electronics and Computer Science at the University of Southampton & AI3SD Co-Investigator. Nirajnan works in the area of machine learning, and his research interests are in the algorithmic and applied aspects of the subject. He has worked on a range of applications of machine learning and neural networks including speech and language processing, computer vision and computational finance. Currently, the major focus of his research is in computational biology. Some of his work (e.g. the SARSA algorithm in Reinforcement Learning) have been fairly influential in the field. He has held several research grants from the Research Councils in the UK, and the European Union. Currently, his main focus is on architectures and algorithms for Deep Learning and inference problems that arise in computational biology. Professor Sophia Yaliraki - Sophia is a Professor of Theorerical Chemistry at Imperial College London.  Professor Patrick Fowler - Patrick has been a Professor of Theoretical Chemistry at the University of Sheffield since 2005. Prior to that he had worked at both the University of Durham as a Senior Demonstrator, the University of Cambridge as a Postdoctoral Research Fellow and the University of Exeter where he became a professor. His research focuses on molecular properties, ring currents, aromaticity, fullerenes, molecular electronic devices, symmetry and discrete mathematics in chemistry, and he has published extensively in these areas. He was also elected a Fellow of the Royal Society in 2012. Keynote Abstracts Inference from Outliers – Professor Mahesan Niranjan: Classic machine learning is largely about classification and regression problems. However, many practical problems of interest in genomics, condition monitoring, medical diagnostics and security are better posed as problems of detecting novelty. In this talk, I will describe two applications of extracting useful information from novel data, in problems relating to modelling cellular protein concentrations and the solubility of synthetic chemical molecules. The algorithmic framework poses a robust support vector regression problem and the resulting non-convex optimisation problem is solved using a difference-of-convex formalism. (Part of this work is supported by grant EP/N014189/1, "Joining the Dots: From Data to Insight" from the EPSRC). Unsupervised, multiscale learning through atomistic graphs: From molecules to systems - Professor Sophia Yaliraki: We have derived an all-scale graph partitioning approach that preserves atomistic physico-chemical detail and by using diffusive processes on the graph (both on the node and the edge space), we have shown that we can obtain the behaviour of biomolecules and biomolecular assemblies at different timescales without the need of any reparametrisation or a priori selection of relevant timescales. The approach is computationally efficient and general and can be applied to molecules, molecular assemblies as well as data.  We will showcase the theory with examples from predictions and experimental verification of mutations that control protein dynamics at different scales (AdK), prediction of allosteric sites for drug design and communication and signalling in multimers and assemblies (ATCase, Rubisco). Finally, the application of this unsupervised learning approach to trajectories and free text will be briefly discussed. Source-and-sink models for molecular conduction - Professor Patrick Fowler: This talk describes recent progress in Sheffield in describing ballistic molecular conduction with the Ernzerhof source-and-sink-potential (SSP) model. SSP gives a broad classification of conduction behaviour at the graph theoretical level. We have been able to derive selection rules, classifications and intuitive descriptions that remain useful at higher levels of theory. This talk is based on joint work with Barry Pickup (Sheffield), Irene Sciriha (Malta) and Martha Borg (Sheffield). Programme The programme for the day is as follows: 10:00-10:30: Coffee & Registration 10:30-10:45: Welcome Introduction – Professor Jeremy Frey 10:45-11:15: Unsupervised, multiscale learning through atomistic graphs: From molecules to systems - Professor Sophia Yaliraki  11:15-12:00: Inference from Outliers - Professor Mahesan Niranjan  12:00-12:45: Presentations from Participants to initiate discussions  12:45-13:45: Lunch 13:45-14:15: Source-and-sink models for molecular conduction - Professor Patrick Fowler14:15-14:45: Initial Discussions to form Working Group Topics 14:45-15:15: Coffee Break 15:15-16:30: Working Group Discussions 16:30-17:00: Report back and form Action Plan  17:00-18:00: Drinks reception  Mailing List To become part of the AI3SD Network+, join our mailing list by sending an email to: listserv@jiscmail.ac.ukSubject: SubscribeMessage: SUBSCRIBE AI3SD Firstname LastnameOr go to https://www.jiscmail.ac.uk/AI3SD  Network Social Media Email - info@ai3sd.orgTwitter - @AISciNetLinkedIn - https://www.linkedin.com/in/ai3sdLinkedIn Interest Group - AI3 Science Network Interest Group FAQs 1. Who should attend? Anyone with an interest in Molecules, Graphs, Artificial Intelligence, Machine Learning, Deep Learning. We welcome members from academia, industry and government. We are always looking to grow our Network+ and bring in people with a wealth of experience in the many different subject areas that are needed so that we can form interdisciplinary partnerships and work together to further the field of Scientific Discovery.  2. What will I get out of it? You will be able to network with likeminded people who have research interests that complement yours. There will be two keynotes around the topics of Molecules, Graphs and AI to spark discussion and ideas. There will be an opportunity to present your own research interests/areas of expertise briefly, with plenty of opportunity to have general discussions and some specific topic based discussions in smaller groups. Members of the Network Executive Group will also be in attendance so you will be able to find out more about our Network and the opportunities we have available including funding opportunities and the types of events we will be running (e.g. workshops, conferences and hackathons).   3. What are the aims of the workshop? This workshop is aiming to help the Network+ to drive progress in this area and facilitate collaboration by introducing people to make new interdisciplinary teams, and to produce new grant applications. To achieve this we may commission literature reviews, papers, or small scale investigations to test out new ideas. We welcome ideas and suggestions about how to go forward in this area and how best to achieve our aims.   4. What are the main themes of the workshop? Molecules are often represented by connected graphs showing in some sense the bonding between the atoms.  These graphs can serve as the input in the quantum chemistry packages to determine the 3D molecular geometry and with high level and time-consuming calculations obtain the electron density and electric fields surrounding the molecules and with even greater difficulty the interactions between molecules obtained and used as the basis for simulation for collections of molecules.   In this workshop we wish to explore how the graphs themselves can be used to generate molecular properties, predict drug activity, suggest crystal structures, without going through the QM route.  Can the graphs be the input to Machine Learning models?  What fundamental properties of the graphs directly relate to molecular behaviour? How do these relate to the topology of the systems?  Can we predict drug solubility, drug binding or the nature of molecular assemblies and crystals structures?  For example graph theory predictions of Huckel Molecular orbital energies give very fundamental predictions about the nature of some molecules. The graph approach is very useful when considering similarity between molecules and the transformations between molecules  and we seek to explore how AAI can play a role in these areas too. 

2018 was "Year of the Woman" at Sussex Innovation Centre and we celebrated by hosting a variety of events with women as the focus, from our International Women's Day party to a hackathon tackling the 17% (that's the percentage of tech workers that are woman and of founders that are female). However, we don't want our efforts to promote women in business to end at the end of 2018 which is why this January we are welcoming female founders to the Centre for drop-in sessions with our Innovation Advisors. The Sussex Innovation Innovation Advisors are a team of business support experts with backgrounds in a variety of areas. So whether you're having issues with financial planning or struggling to develop the right messaging for your brand, we have someone who can help you grow your business. We're offering you the opportunity to book 1:1 meetings with different members of the team to discuss anything ranging from fundraising, sales, PR, marketing and more. Beforehand you'll also have a chance to meet other succesful local business women at a networking lunch (1-2pm). As places are limited we have set the following criteria: 1. The founding team must include at least 1 female. 2. You must be registered as a business. 3. Your product and/or business model must be innovative. 4. You must be passionate about your business. You may not get the opportunity to meet with everyone from the team that you'd like to or be able to attend on this particular date, don't worry, we'd really like to run this event again so it's still worth applying! How to apply: 1. Register on this Eventbrite page 2. Complete the application form which you will be sent (applications close at 6pm on Sun 27th Jan). 3. If your application is successful you'll be emailed a meeting schedule.