Georgina Cosma
@gcosma1
Professor of AI @lborouniversity
Neural Information Processing, Retrieval & Modelling, NLP, Machine Learning, AI Ethics, AI in Health and Social Care
ID:224161598
https://datascienceplus.blog/ 08-12-2010 08:54:47
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🎉Wishing everyone a happy, healthy, and prosperous 2024! 🌟As we continue advancing #AI technology, let's remain committed to developing it responsibly & ethically, being considerate of our environment and humanity🌍🤖💚. #ResponsibleAI #EthicalAI #SustainableAI
Nice pics from #SSCI2023 conference. My team presented 3 papers. 1)Morphological Image Analysis&Feat. Extract. for #AI Reasoning arxiv.org/abs/2307.11643 2)w/toolkit arxiv.org/abs/2307.13815 3) #Neural #crossmodal search&retrieval arxiv.org/abs/2307.14244
Pics:attend.ieee.org/ssci-2023/conf…
Celebrating Clifford's successful PhD viva and Yan's graduation! Congrats Drs!🥂🎉They have been an inspiration to supervise, their commitment & hard work are truly remarkable. 👏 #PhDViva #GraduationDay #ProudSupervisor Jiajun Zhang YG mohit Rania Kousovista
Our paper 'Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets' w/ our industrial partner Railston&Co ltd published. Link: mdpi.com/2313-433X/9/12… #AIreasoning #defectdetection #datascience
Congrats to my PhD student Dr Yan Gong for passing his PhD viva 'Visual-Semantic Embedding Networks for Cross-Modal Learning & Information Retrieval w/ Search Engine Integration'. We are a wonderful team, thank you all! #AI #InformationRetrieval #DeepLearning YG
Check out our paper on Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial & Healthcare datasets. In collaboration w/ railstons.com #AI #DataScience #imageretrieval
Our paper: arxiv.org/abs/2310.06566
We’ve partnered with Wey Gu 古思为 to create the world’s most comprehensive short course on using LLMs with Knowledge Graphs 🧑🏫 🌐
There’s a crazy amount of content in here (KG concepts -> code blocks -> demos).
It's all contained in a single Colab notebook: colab.research.google.com/drive/1tLjOg2Z…