Collaborative UKRI Centre for Doctoral Training between @kclinformatics @KingsCollegeLon & @ICComputing @imperialcollege pioneering next gen safe & trusted AI
We are now active mainly on LinkedIn and would still like to have you as part of our community!
To find us on LinkedIn, click here: https://t.co/523A6gG85X
We look forward to seeing you there.
A huge shoutout to our incredible #PhD student @mariamstoica who was recently featured in the @ImperialX_AI PhD Research Spotlight Series! 🎉
You can read about her amazing research and her advice for anyone considering a #PhD in #AI here
🔗⬇️https://t.co/v5sn0GsYml
🎉 STAI CDT 2024 Wrapped🚀
As we reflect on 2024, we’re celebrating the incredible successes of our #PhD students. Here are a few highlights that represent the hard work, innovation, and collaboration of our students, staff, and community. 🌟
🎉 Exciting news! @safe_trusted_ai student publications are now live on our website!
Explore cutting-edge AI research and see the amazing work our #PhD students are contributing to the field.
📚 Check them out here: https://t.co/iI53IrtGX6
#AI#ResearchExcellence#Innovation
This summer STAI CDT #PhD student @DylanRobertCope presented the paper ‘Mimicry and the Emergence of Cooperative Communication’ at The International Conference for Artificial Life (ALIFE).
Read about the paper and Dylan's experience in Copenhagen 🔗
https://t.co/smgsIzFybv
A huge congratulations to Dr Joseph Pober on successfully defending his thesis 'Towards Neuro-Symbolic Symbol Grounding'.
An amazing achievement and we can't wait to see what you do next! 👏
Join the @KingsNMES Graduate School Virtual Open Event on 21 November to find out about exciting opportunities to do #PhDs at @KingsCollegeLon in computer science, engineering or chemistry.
Interested in doing a PhD in chemistry🧪, engineering 🏗️ or computer science💻?
You're invited to our Graduate School Virtual Open Event on 21 November! 📅
Learn about being a PhD student in our faculty, the opportunities available & how to apply! ✏️
https://t.co/hlxcZtkvQJ
STAI CDT #PhD student Munkhtulga Battogtokh had a successful trip to EuroVis24 in May where he presented the paper ‘Visual Analytics for Fine-grained Text Classification Models and Datasets’ and gave a talk at VIS4NLP workshop @euro_va
Find out more ⬇️🔗https://t.co/hjquB0NlnI
STAI CDT #PhD student @gerritquaremba is working on the collaborative content creation use case for Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project
Read about @PHAWM_project and Gerrit's experience at the PHAWM launch event: https://t.co/1weCCLPyB6
🧑🎓As part of my PhD at @safe_trusted_ai, I am working with @kclinformatics on the collaborative content creation use case for @PHAWM_project
📝 In October, I traveled to the PHAWM launch event and wrote a brief Medium post about it. Check it out here: https://t.co/RIDUNrC1fw
Proud of STAI CDT #PhD student @NGavenski for presenting at @ecai2024 👏
You can find out more about the paper 'Explorative Imitation Learning: A Path Signature Approach for Continuous Environments' here: https://t.co/UTQj2U2tVd
Yesterday I had the pleasure to present my work at @ecai2024.
Thanks to all the authors for the great work, @safe_trusted_ai for supporting me and allowing me to pursue my research and @KingsNMES for the resources and space that makes this work possible.
Great to see STAI CDT #PhD students @NandiSchoots + @alexjackson1711's paper with Ali Kholmovia, Peter McBurney + @mpshanahan 'The Propensity for Density in Feed-Forward Models' being presented at @ecai2024
Full paper here: https://t.co/KMF9ebqJlO
Read @NandiSchoots thread ⬇️
5/5 Very excited to have worked with @alexjackson1711 , Ali Kholmovaia, Peter McBurney and @mpshanahan
The presentation and poster are at the Machine Learning 3 main track 2:15 pm – 3:45 pm on Monday
Full paper here:
https://t.co/D5AGZnFw1K
STAI CDT #PhD students Peter Tisnikar and Lennart Wachowiak led an engaging workshop on Large Language Models (#LLMs ) as decision makers at the Annual Retreat.
Read about the workshop and some CDT students' views on LLMs 🔗
https://t.co/9W9ZABv7Me
We caught up with STAI CDT #PhD students @maddie_waller and @AnnaGausen on their experiences of taking part in the @turinginst 2023/24 Enrichment scheme.
Read about their highlights and how the scheme has impacted their career aspirations and PhD work ⬇️
https://t.co/xWPahqreKz
STAI CDT student @kenzjorg206 has co-authored the paper ‘Frontier AI,’ Power, and the Public Interest: Who benefits, who decides?’ which has just been accepted into the upcoming @TheHDSR Special Issue 5: 'Grappling with the Generative #AI Revolution' 🔗⬇️
https://t.co/04Q0EI2IIn
Huge congratulations to #PhD student @NanarNarame for presenting the paper 'Deep Neural Networks via Complex Network Theory: a Perspective' @IJCAIconf
Find out more about the paper and #IJCAI2024 in Gabriele's thread⬇️
I recently had the chance to present the paper "Deep Neural Networks via Complex Network Theory: a Perspective" at IJCAI 2024 in Jeju Island (South Korea). The paper is written in collaboration with @iperboreo_, Giuseppe Nicosia and Vito Latora.
1/n
STAI CDT Student @NGavenski presented the demonstration track paper, ‘Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking’ at @AAMASconf
Read about the toolkit and Nathan's conference experience 🔗#AAMAS2024
https://t.co/dCoNqJnYFX
Summer schools offer #PhD students the chance to build their knowledge and collaborate with fellow researchers.
Read about STAI CDT #PhD student Stefan Roesch's experience at the Game and Artificial Intelligence Multidisciplinary Summer School #GAIMSS
https://t.co/94GoWLYj2d
Recapping from a great STAI CDT Annual Retreat with our #PhD students. Highlights include hearing great insights from our student career/internship panel, student run discussion sessions and taking on the fun and bizarre 'Master the Task' challenges.🔗⬇️
https://t.co/R44KagKh8Y