Thanks to the work of @andy_bouts, the International Centre for Spatial Computational Learning @spatialmlnet now has a Youtube channel. You can hear me explain why here https://t.co/0DqjHapeK2 and you can subscribe here https://t.co/iZN0ZkPRJb
Congratulations to my PhD students @PetrosToupas (jointly advised by @TzovarasD) and @AlexMontgomerie whose paper "HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices has been accepted by #FCCM2023. A preprint is here: https://t.co/gbXkvL7vJZ
If you are a student and you are interested in photography and AI, please see find here https://t.co/6q6meRy15H information for a student photo and caption competition.
The 17th Workshop on Reconfigurable Computing (WRC) is taking place on the 16th January as part of #HiPEAC23. We have put together an exciting programme that you can find here
https://t.co/0aOi4UZRD8. Looking forward to engaging in fruitful discussions.
Our work on "Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data" received the Saburo Tsuji Best Paper Award in ACCV2022. Congratulations Guoxuan Xia. https://t.co/GjFmwRlboL
Congrats to my student @rajagopaladitya for passing his PhD viva today. His work shows that partial adaptation of a CNN model after deployment is possible even on embedded devices, opening the path for deploying efficient systems that can tune themselves to the environment.
If you are interested in teaching in Higher Education, we have just opened a Teaching Fellow post. A great opportunity to join our teaching team. Details: https://t.co/cSURbuU7uq
The slides from the invited speakers in the 6th Workshop on Reconfigurable Computing for Machine Learning (RCML) are now available on-line: https://t.co/R98lYiPh5r . Exciting talks from industry (AMD, Groq, Tenstorrent) and academia (Imperial College London) on ML and hardware.
Just gave a presentation in NANDA (https://t.co/qCpTmQgDae) on our recent work in mapping CNNs to FPGAs and demonstrated the benefits of tensor decomposition through our StreamSVD work. A big thanks to the organisers, and great talks from all speakers.
The 6th Workshop on Reconfigurable Computing for Machine Learning (RCML) is taking place on the 1st September. Great opportunity to attend it in-person if you are already in #FPL2022 . Check out its programme here https://t.co/Bx9tLmYVj6
Delighted to announce that I have just been promoted to Professor of Intelligent Digital Systems. I would like to thank my mentors, colleagues, collaborators, students and postdocs for making the trip so far so exciting. Also, I would like to thank my referees for their support.
Thrilled to be giving a keynote next Saturday on multi-DNN accelerators for future AI systems at the 2nd workshop on Architecture, Compiler, and System Support for Multi-model DNN Workloads, co-located with #ISCA 2022! https://t.co/ywe4YKdQcR
Two weeks left to get your application in! Join us: a permanent assistant / associate professorship in Computer Engineering at @imperialcollege@imperialeee@imperialcas
https://t.co/LvHGlShqL5
The 5th RCML concluded today, after a line of high-quality presentations. Amazing attendance for the community (more than 90 attendees). A big thank you to our invited speakers for their contributions and to the organisers. #machinelearning#fpl2021
If you are interested in Reconfigurable Computing #FPGA and Machine Learning #MachineLearning , the 5th Workshop on Reconfigurable Computing for Machine Learning (RCML) takes place on the 31st August. Registration is free. Check out its programme here https://t.co/UOlCiwFMLr