Join us for an upcoming #MachineLearning Seminar at @uni_lu!
📅 Date: June 12, 2024, at 10:00 a.m. (CET)
🎙️ Dr Vladimir Despotovic (@LIH_Luxembourg )
📚 AI-driven digital pathology: a step towards precision medicine
👇 Details and registration
https://t.co/SXOSjRmuX3
🔍 Join us for an upcoming #MachineLearning Seminar at @uni_lu :
📅 May 15, 2024, at 10:00 a.m. (CET)
🎙️ @AbirElbeji (Luxembourg Institute of Health)
📚 Exploring Voice AI: Technologies, Algorithms, and Applications in Healthcare
👇
https://t.co/tYKsW5tgNs
@elisagdelope
🔍 Join us for an upcoming #MachineLearning Seminar at @uni_lu :
📅 May 8, 2024, at 10:00 a.m. (CET)
🎙️ Adil Kabylda
🏛️ Department of Physics, University of Luxembourg
📚 Topic: "Machine Learning Force Fields for Large Molecules"
👇 Details:
https://t.co/1BcsP0VPZN
@TCPUniLu
New @arxiv preprint!
Quantum-informed simulations for mechanics of materials: DFTB+MBD framework
link: https://t.co/0ct9HpV0kV
@JLengiewicz@stephanebordas@FnrLux
🔍 Join us for an upcoming #MachineLearning Seminar at @uni_lu :
📅 11.10.2023, at 10:00 a.m. (CET)
🎙️ Speaker: Rolf Krause
🏛️ Università della Svizzera italiana, Switzerland
📚 "Multilevel and Domain Decomposition Methods for Training Neural Networks"
👇
https://t.co/yeGFI5NYXq
📽️ Our recent #MachineLearning Seminar recording with Ian Sosa on "Understanding Attention for Modern AI" is now available.
📷 https://t.co/BIqIcIQSsd
Ian delves into the attention mechanism and its role in deep learning models. For more:
https://t.co/yeGFI5NYXq
@uni_lu
🔍 Join us for an upcoming #MachineLearning Seminar at @uni_lu:
📅 2023.10.04, at 10:00 a.m. (CET)
🎙️ Speaker: Ian Sosa
🏛️Co-founder of https://t.co/Xjb4izvtkg & Department of Physics, @uni_lu
📚 Topic: "Understanding Attention for Modern #AI"
👇 More:
https://t.co/e66Ap2W4Jv
📽️ The recording of our latest #MachineLearning Seminar at the @uni_lu by Juan Pablo Borthagaray is now up!
🔗 https://t.co/SiHvWAmGB2
🔍 For more details about the seminar, the speaker, and the topic, visit the ML Seminar website:
🔗 https://t.co/7Iyk7WFlsG
@stephanebordas
🎉 Thrilled to extend my congratulations to @Saurabh1715 for earning his PhD from the @uni_lu ! 🎓 His groundbreaking research in Deep Neural Networks for surrogate modelling has garnered him a nomination for the Excellent Thesis Award 🏆. Kudos on this remarkable achievement🌟
🔍 Join us for an upcoming #MachineLearning Seminar:
📅 20.09.2023, at 2:00 p.m. (Paris time)
🎙️ Speaker: Juan Pablo Borthagaray
📚 Topic: A deep learning-based FOSLS method for second-order elliptic PDEs
👇 Abstract and registration details here:
https://t.co/7Iyk7WFlsG
@uni_lu
📽️ The recording of our recent #MachineLearning Seminar at @uni_lu, presented by Panos Pantidis from NY Univ. Abu Dhabi, is now available
🔗 https://t.co/mjo5IUXoak
🔍 For more details visit the ML Seminar website:
🔗 https://t.co/ZvLlkiBJK9
The recording 🎥 from last week's #MachineLearning Seminar at the @uni_lu on “Freedom of design” in chemical compound space, featuring @Lmedranos88, is now available online:
https://t.co/egkcE1azAb
🔬 Join us for an upcoming virtual #MachineLearning Seminar at the @uni_lu featuring Panos Pantidis from @NYU_AbuDhabi. Save the date 21.06 at 10:00 a.m. (CET).
📚 Discover an innovative approach to accelerating #FEM with ML and #PINNs. More info here:
https://t.co/GT6hYxIyjS
📢 Join the virtual #MachineLearning seminar on "Freedom of design" in chemical compound space by @Lmedranos88 at the @uni_lu ! 🧪💡
📅 2023.06.14 ⏰ 10:00 AM (GMT)
🔗 More info and registration: https://t.co/SAwxZ6GQXO
🔗 Past seminars:
https://t.co/ZvLlkiBJK9
📢 We're thrilled to announce the upcoming #MachineLearning Seminar at the @uni_lu , featuring Lawrence A. Bull from the @Cambridge_Uni , who will be speaking on "Encoding Domain Expertise into Multilevel Models for Infrastructure Monitoring."
See more: https://t.co/x696KvEhbm
Don't miss the upcoming interdisciplinary #MachineLearning seminar at @uni_lu , featuring Patricio P. Braz from @UNSW, who will explore the optimization of piezoelectric energy harvesting and sensing using #DeepLearning. Learn more here:
https://t.co/PwmcjKYHpD