Our new Nature Machine Intelligence Perspective presents a blueprint for deployment-centric multimodal AI beyond vision and language — building AI that works in the real world.
🔗 Read more: https://t.co/zaP5IjSYTs
@sheffielduni@turinginst#MultimodalAI#UKOMAIN
🎥 Our first video is live!
Discover how UKOMAIN is building critical mass in Multimodal AI.
👇 Watch here: https://t.co/kQteJHcwHq
🔁 Please share if you're part of the AI community!
I couldn’t agree more with @ylecun: 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 @EPSRC to foster a vibrant, open ecosystem for multimodal AI.
Collaboration is the key to progress!
Building on years of community effort, the UK Open Multimodal AI Network (#UKOMAIN) is set to advance multimodal AI with support from @EPSRC.
We’re tackling challenges across health, transport, materials, and beyond.
Stay connected: https://t.co/T83w2dKdOH 🚀
🚀 The UK Open Multimodal AI Network (UKOMAIN) is here! @MultimodalAI_UK#UKOMAIN
Funded by @EPSRC (£1.8M), we’re advancing multimodal AI to tackle key challenges in health, transport, materials, & more.
Follow us: https://t.co/dAvUqdv8Bp
Learn more: https://t.co/P0kzduLtS9
🌟Join us for a PhD at @sheffielduni 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: https://t.co/K9JWrnokjd
Proud to lead @sheffielduni’s research in the £10M Cancer Data Driven Detection (CD3) programme, funded by @CR_UK, @NIHRresearch & @EPSRC. Using AI & 🔗 multimodal data, we’re advancing cancer detection, diagnosis & prevention. A transformative collaboration! #AI#Cancer#UKOMAIN
We are hosting a FREE 2-day workshop in York for researchers to learn how to utilise AI, machine learning & neural networks. Open to all N8 researchers, you don't need any ML experience. Apply for a place now! ➡️https://t.co/JXl3kLz7QC
Hiring at QMUL! lecturer+senior, prof:
https://t.co/oF4WgKbr8A
*DEADLINE: TODAY*
PDRAs for the RAi UK/UKRI@responsibleaiuk Keystone project on Addressing socio-technical limitations of LLMs(https://t.co/3fVlfFIe9p).
*DEADLINE: October 10*
https://t.co/TyM8LmnS1Y
#NLProc#AI
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: https://t.co/lUwYusdqrE
🚀Excited to speak at Open Data Science Conference Europe 2024 in London tomorrow 6th Sep at 10:30 on "Exploring Multimodal AI beyond Vision and Language."
Join me to explore multimodal AI's potential across six disciplines!
📍 Novotel London West
👉 https://t.co/vtM671z1e7
Looking for candidates for an EPSRC DTP PhD studentship (Jan 2025 entry) on "Efficient Deep Learning Algorithms for Pedestrian-Centric Multimodal Robot Perception". Prof. Andrew Howes will be the co-supervisor. Apply by 4th October 2024. More details: https://t.co/Dkx9pTefEB