Machine Learning in Science

Research community @UofGlasgow. Enhancing research, developing skills, and encouraging interdisciplinary collaboration between researchers using ML.

[Machine Learning in Science @MLinScience]

How can AI be more socially intelligent? 👥🔎
It could learn from mistakes and from human behaviour.

Join our colloquium to learn more about it!
📅 March 16th 11 AM @ Advanced Research Centre

Featuring research from... 🙌
- @FPJAudonnet and Dr Gerardo Camarasa
- Dr Tanaya Guha

[Machine Learning in Science @MLinScience]

@TessWOfficial @debforit @_xizhang @UofG_CDSAI @UofGARC @GlasgowCS @UofGMVLSGradSch @UofGMVLS Yes, both sessions will be recorded! 😄 We'll post here once we upload the recordings to Youtube.

[Machine Learning in Science @MLinScience]

How can we boost and leverage AI adaptability in different fields?🤔

From information retrieval to radiologic imaging, come hear about it at our next colloquium!🙌Featuring...

- Dr. Debasis Ganguly @debforit
- Xi Zhang @_xizhang

📅 December 9th 11 AM @ Advanced Research Centre

[Machine Learning in Science @MLinScience]

🎥 And more good news! Video is also available for...

👤 Klimis Stylpnopoulos, PhD candidate, Mathematics & Statistics, UoG on...
💡 "Forecasting ConsiderForecasting Considering Dependencies Between Wind Power Generation and Electricity Prices in the UK"
https://t.co/NAzk16HjX4

[Machine Learning in Science @MLinScience]

Good news! We have a new video available from our colloquium on ML for energy research, featuring...

👤 Jack Revill Hayward, PhD candidate, JWS Engineering School, University of Glasgow on...
💡 "Machine Learning and Biorefineries: Pyrolysis Modelling"
▶️ https://t.co/jugC5jg7YX

[Machine Learning in Science @MLinScience]

If you have heard about this event before, then please be aware the date and time have changed ‼️

It had originally been scheduled for July 21st afternoon 🚫
It will happen on July 25th morning instead ✅

We apologize for any potential confusion this may cause!

[Machine Learning in Science @MLinScience]

Can AI lead to a smarter use and generation of energy? 🌱✨
Yes, it can! Join us on our next seminar to learn how!

📅 July 25th 10:00 AM @ Advanced Research Centre

Come and hear from two early-stage researchers from UoG 👏
- Jack Revill Hayward
- Klimis Stylpnopoulos

[Machine Learning in Science @MLinScience]

Our next seminar will be themed on Geographical and Earth Sciences. Join us to learn more about ML applied to these fields!

📅 June 5th 2 PM @ Wolfson Medical School 💻🌎✨

Speakers for this session
- Dr. Meiliu Wu, UoG lecturer
- Fedra Trujillano, UoG PhD student @fedra_cathe

[Machine Learning in Science @MLinScience]

Less than one week to go before our Elevator Pitch Showcase event! 🎉
There are still some available spots for early-stage researchers to present their research. Sign up today! It will take less than 5 min. Both to sign up and to present 🤣

[Machine Learning in Science @MLinScience]

Are you a PhD student using Machine Learning? Do you want to connect with other early-stage researchers and hear about other ways to employ ML in research?

Come join us for our Elevator Pitch Showcase event! 😄
📅 May 7th 2 PM @ ARC 💡✨

Register at https://t.co/ErRSBiOPNi

[Machine Learning in Science @MLinScience]

A great opportunity to connect and share ideas in a relaxed and friendly environment! 💡🤝✨

Presenting will only take 3 to 5 minutes. No research results needed! You can bring a slide, if you want.

No need to present either! You can come hear from others. There will be snacks!

[Machine Learning in Science @MLinScience]

Are you a PhD student using Machine Learning? Do you want to connect with other early-stage researchers and hear about other ways to employ ML in research?

Come join us for our Elevator Pitch Showcase event! 😄
📅 May 7th 2 PM @ ARC 💡✨

Register at https://t.co/ErRSBiOPNi

[Machine Learning in Science @MLinScience]

Are you a PhD student interested in Machine Learning & AI? Join the MLiS volunteer group to shape research, network with professionals, and gain event-planning experience!

📅 March 10, 12pm, ARC 237A

Sign up with the QR code now and help us grow the community!

[Machine Learning in Science @MLinScience]

Join us for “Advances in Reinforcement Learning: Chaos & Efficient Search and Rescue”

📅 March 4th, 3–4 PM
📍 ARC Room 237c
Speakers:
• Jan-Hendrik Ewers: RL for time-critical wilderness search & rescue
• Rory Young: Chaos in deep reinforcement learning

See you there!

[Machine Learning in Science @MLinScience]

Today’s the day of our guest speaker, come over to the ARC at 1 pm and enjoy!

[Machine Learning in Science @MLinScience]

Our speaker next Wednesday, Prof Miguel O. Bernabeu, is coming from Edinburgh University to present on recent advances in AI for medical imaging, discussing a range of topics from data quality to model implementation and evaluation.

Hope to see you there!

[Machine Learning in Science @MLinScience]

@TessWOfficial @UofG_CDSAI @UofGMVLS @UofGMVLSGradSch @GlasgowCS Hi Tess, sorry for the late response. Yes, we will record the talk

[Machine Learning in Science @MLinScience]

Our speaker next Wednesday, Prof Miguel O. Bernabeu, is coming from Edinburgh University to present on recent advances in AI for medical imaging, discussing a range of topics from data quality to model implementation and evaluation.

Hope to see you there!

[Machine Learning in Science @MLinScience]

Missed the Machine Learning in Science conference? Catch the recordings now on our YouTube channel!
https://t.co/FkOTsv1dbY

[Machine Learning in Science @MLinScience]

Our last but definitely not least keynote of the day, Dr Petter Törnberg discussing large language models to simulate social media platforms and unravel the dynamics of public discourse

@UofG_CDSAI @UofGARC

[Machine Learning in Science @MLinScience]

Starting off day 2 of our conference with Prof. Ahmed H. Elsheikh on how generative models and reinforcement learning can help climate research

@UofG_CDSAI @UofGARC

[Machine Learning in Science @MLinScience]

Fantastic start to the day with a fascinating talk from Prof. James Hethington on AI security and how we can improve reliability of research ML.

@UofG_CDSAI @UofGARC @jamespjh