Huge congrats to my PhD student Zygis and collaborator Jo for making the back cover of Digital Discovery (IF 6.2!) (@digital_rsc@unisouthampton@EcsVlc ), nice work!
Congratulations to all of our winners and nominees! 🥳
It's been great to come together and celebrate all of your achievements over the past year
Thanks also to those who nominated a PGR for an award and to everyone who joined us today!
Citizenship & Community winners cont'd:
- Eirini Kateri, Engineering & Physical Sciences
For her significant investment in building a PGR community within her research group; organising a wide variety of social and research events
The Research Awards runners-up for Engineering and Physical Sciences are:
- Daniel Lawson, Physics & Astronomy
- Andreea-Daniela Mihai, Electronics & Computer Science
- Han Peng, Engineering
Our digital contact tracing work (https://t.co/3YwwiMZsMv), possibly the first published paper on this topic, featured by the Max Planck Society @remiemonet@EcsVlc@unisouthampton
Really pleased to see that FMix (https://t.co/knwe3Hmd7N) from our recent preprint has been used for the second place result (by The Zoo: @ph_singer@dott1718 - congrats!) in the @Kaggle Bengali AI handwritten grapheme classification competition - https://t.co/nTZ3tb88Dl
We have a treat for all @PyTorch users out there!
"8 Creators and Core Contributors Talk About Their Model Training Libraries From PyTorch Ecosystem"
First-hand info about:
- Philosophy
- Build-in features
- Extension capabilities
- and way more
https://t.co/sh6XrHFNb7
Looking forward to attend the kickoff workshop tomorrow in Monterey of @EPSRC funded international-2-international center @spatialmlnet, to interact with our research collaborators. Delighted to see my @unisouthampton colleagues on the flight to SF (Geoff Merrett&Jon Hare)
https://t.co/L2LydZKsUZ
Excited to announce that torchbearer and PyTorch Lightning have partnered to continue to improve the research experience of PyTorch. The founders of torchbearer are joining the core contributor team of @PyTorchLightnin!
It is imperative to train engineers with understanding and application of AI and data, if the UK is to continue its leading role in Engineering. I describe this in @timeshighered here: https://t.co/fI9WnD3IIS
This paper had the biggest subjective "wow" factor for me at #NeurIPS2019: "Deep Set Prediction Networks"
by Yan Zhang, Jonathon Hare, Adam Prügel-Bennett https://t.co/Z8Qc9cUKBF. The idea is very simple, and yet I find it mind-blowing.
Irina Higgins, a Senior Research Scientist at
@DeepMindAI, will be our second speaker tomorrow at SVRHM addressing the question: What is disentangling and does intelligence need it?