Bayes Centre

🌍🚀 Scotland's Fintech Sector is thriving. We're pleased to share insights from a recent highlight by Scottish Development International, celebrating the vibrant growth in our fintech landscape. Find out more below. 🢃

Congratulations to Bayes Centre Partner Beam, which has been ranked 40th in The Sunday Times 100 Tech list, recognising Britain’s fastest-growing private technology companies. Find out more below. ⬇️

Secure funding to propel your business forward with the University of Edinburgh’s specialist expertise. InnoConnect offers funding opportunities for organisations, of any size, to gain access to specialist facilities and expertise to support the growth and innovation of your business. 💡 Tailored support for MVP development, prototyping, and validation. 🚀 Funding: Eligible organisations may receive up to £5,000 to access: • Cutting-edge research facilities, complemented by skilled technical support. • Expertise in AI and data science. 🏢 Diverse Industry Applications: Key industry sectors include, but are not limited to, space, robotics and autonomous systems, AI, engineering, and energy. To qualify for the InnoConnect funding your company must demonstrate a desire to use robust data to facilitate industry growth and we welcome proposals that have larger future potential. Deadline: 28 February 2025 Find out more: https://edin.ac/3WlbIZa Edinburgh Innovations | College of Science and Engineering, The University of Edinburgh #DataScience #ArtificialIntelligence #AIResearch #Innovation #InnoConnect #FundingOpportunities

Since 2008, EIE has fuelled over 550 tech ventures, helping them secure more than £1.2 billion in investment. Join us at #EIE25, 14–15 May 2025. Register Your Interest: https://bit.ly/3VyDVeo

Final Reminder 🚀 Applications Closing Soon! ⏳ Don’t miss your chance to join the final two Space Bridges upskilling courses starting on 27th January 2025. 📊 Software and Data for Space Discover how to retrieve, process, and analyse space data, including the applications of Artificial Intelligence and Machine Learning. 👉 Apply here: https://lnkd.in/eMbUhsNq 🌌 The Business of Space Learn about commercialisation in the space sector, as well as the fundamentals and drivers of space, entrepreneurship, and business development. 👉 Apply here: https://lnkd.in/evMBaDyE 🕛 Deadline: Apply by noon on 16th January 2025. #SpaceBridges #Upskilling #ShortCourses

Join the next GAIL Seminar, featuring Matthias Gallé from Cohere, as he explores how industrialisation is reshaping the landscape of AI research and development. Find out more below. ⬇️

Got a research question or challenge that you do not have the specialist expertise, resources or funding available to progress? Consider partnering with us on a University of Edinburgh MSc project. We are seeking project proposals from across disciplines in data science and AI. Whether you’re a company, organisation, charity, or government department, our MSc students can bring fresh insights and solutions to your challenges. We collaborated with MOONSIFT to explore the complex issue of Composed Image Retrieval (CIR), specifically within the fashion industry. 🔍 A student reviewed recent advances, assessed 4 key techniques, and delivered insights that enhanced MOONSIFT’s product similarity search. 💡 This impactful project led to ongoing collaboration—the student now works part-time with MOONSIFT. Read the full case study: https://edin.ac/4ad6VOU Interested in partnering with us? Submit your project proposal today through this online form: https://edin.ac/408mzGL #AI #DataScience #IndustryProjects #CaseStudy

Our current Applications Consultant vacancy closes *today*. Full details and application process: https://edin.ac/4235ZuD We are growing our team of Application Consultants, with a focus on delivery of data science services using ML and DevOps practices. We are looking for: • Team members that span Software Engineering and Data Science to deliver and support new services and technologies.  • People who can demonstrate skills in data science languages Python and R, and software engineering (eg coding skills, testing frameworks, version control, use of distributed infrastructure (eg Kubernetes, containers), data engineering (eg databases, streaming, MLops), and machine learning (eg PyTorch, TensorFlow, LLM models). • People who can demonstrate the ability to interact with users of services and software to deliver results that satisfy user requirements. • People who can demonstrate the ability to deliver well-documented designs and implementations of software, data pipelines and analytical methods. • People with an awareness of information security and governance because EPCC must meet globally recognised ISO accreditation standards for it to continue to deliver secure “Trusted Research Environments”. Join us! https://edin.ac/4235ZuD Bayes Centre Data-Driven Innovation Initiative College of Science and Engineering, The University of Edinburgh

Kick off 2025 with our Burns Night Ceilidh on 23 January, from 5pm – 7:30pm. 🎻 With live piping and ceilidh calling by Roddy the Piper, it’s an evening of Scottish tradition and dancing! Register here: https://lnkd.in/esANDu-g #BurnsNight2025 #Ceilidh #ScottishTradition

🚀 Applications are open for our Software and Data for Space - Space Bridges course! This course is your opportunity to explore how to retrieve, process, and analyse space data, including the applications of Artificial Intelligence and Machine Learning. 🎥 Watch the trailer below to learn more. ⏰ Closing date: Noon, 16 January 2025 🔗 Apply Now: https://lnkd.in/eMbUhsNq