Alan Thomas - #AI #Research Engineer at the Centre for Machine Intelligence at the University of Sheffield - explains a project that leveraged #LargeLanguageModels to improve the quality of noisily OCR’d historical documents 👀💡 Centre for Machine Intelligence University of Sheffield Library bit.ly/3MAiKnv

Looking for PhD candidates interested in exploring multi-modal AI for healthcare! If you or someone you know is curious about this opportunity, feel free to reach out. More info about me and the team: cherise215.github.io

The School of Computer Science is looking for a Lecturer in Artificial Intelligence and Applications of AI. Closes: 16 October Find out more and apply: jobs.ac.uk/job/DJV757/lec… #AI #CMI #MachineLearning #NLP #AcademicJobs #Sheffield EngineeringSheffield

Come work with us on #AI for materials at Microsoft Research #AIForScience! We have an #internship posting for Cambridge, UK or Berlin.

Mask prior-guided denoising diffusion improves inverse protein folding 1. MapDiff is a novel framework designed for inverse protein folding, using mask prior-guided denoising diffusion to predict amino acid sequences from protein backbone structures. 2. It introduces a

I'm shocked to see racism happening in academia again, at the best AI conference NeurIPS Conference. Targeting specific ethnic groups to describe misconduct is inappropriate and unacceptable. NeurIPS Conference must take a stand. We call on Rosalind Picard Massachusetts Institute of Technology (MIT) MIT Media Lab to retract and

#NeurIPS Let me be direct: This so-called 'disclaimer' only highlights the bias it tries to hide. If Professor Rosalind Picard truly meant no discrimination, she should have simply acknowledged that some students act dishonestly, without linking it to a particular nationality.

Proud to lead The University of Sheffield’s research in the £10M Cancer Data Driven Detection (CD3) programme, funded by Cancer Research UK, National Institute for Health and Care Research & Engineering and Physical Sciences Research Council. Using AI & 🔗 multimodal data, we’re advancing cancer detection, diagnosis & prevention. A transformative collaboration! #AI #Cancer #UKOMAIN

🌟Join us for a PhD at The University of Sheffield to work on AI for Solar Cell Materials Health Monitoring, combining machine learning & materials science to ensure perovskite solar cell stability. Supervised by sustainable & energy materials experts & me. Apply now: findaphd.com/phds/project/i…

I couldn’t agree more with Yann LeCun: open research & open source drive innovation in AI. That’s why we’re building the UK Open Multimodal AI Network (#UKOMAIN) with £1.8M from Engineering and Physical Sciences Research Council to foster a vibrant, open ecosystem for multimodal AI. Collaboration is the key to progress!

Re: “Every major breakthrough in AI has been American”: America does itself no favors when it overestimates its specialness. Yes, the center of the AI industry is the US (California!), but many of the breakthroughs of (neural, gradient-based) AI happened elsewhere: • LSTMs,

Finally took time to go over Dario's essay on DeepSeek and export control and to be honest it was quite painful to read. And I say this as a great admirer of Anthropic and big user of Claude* The first half of the essay reads like a lengthy attempt to justify that closed-source

🎥 Our first video is live! Discover how UKOMAIN is building critical mass in Multimodal AI. 👇 Watch here: youtube.com/watch?v=DgTIX-… 🔁 Please share if you're part of the AI community!

🚀 Call for Abstracts – MultimodalAI’25 🗓 16–17 Sept 2025 | 📍 London (in-person) 🎙 Pitches, talks, posters — no proceedings 🏆 6 prizes incl. student categories 📝 Deadline: 15 July 🔗 Submit: forms.gle/zjc1KXHEFtniWK… #MultimodalAI25 #MultimodalAI #UKOMAIN

Inverse protein folding with MapDiff: Combining diffusion models and deep learning for protein design Inverse protein folding—the art of designing amino-acid sequences that reliably fold into specific three-dimensional structures—is one of computational biology’s enduring

Register now: onlineshop.shef.ac.uk/conferences-an…

A nice place to present your published work or even unpulished preliminary study and network with all multi-modal AI lovers！See you in London in September！