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Date/Time Venue Event Details
June 24, 2025 (Tuesday)
4:00pm-5:00pm
Tam Wing Fan Innovation Wing Two

[TechTalk] Building Multi-dimensional Parallel Training Systems for Large AI Models

Speaker:  Professor Heming Cui, 
Associate Professor, School of Computing and Data Science, HKU

About the talk:

The increasing modeling capacities of large DNNs (e.g., Transformer and GPT) have achieved unprecedented successes in various AI areas, including understanding vision and natural languages. The high modeling power a large DNN mainly stems from its increasing complexity (having more neuron layers and more neuron operators in each layer) and dynamicity (frequently activating/deactivating neuron operators in each layer during training, such as Neural Architecture Search, or NAS). Dr. Cui’s talk will present his recent papers (e.g., [PipeMesh, in revision of a journal], [Fold3D TPDS 2023], [NASPipe ASPLOS 2022], and [vPipe TPDS 2021]), which address major limitations in existing multi-dimensional parallel training systems, including GPipe, Pipedream, and Megatron. Fold3D is now the major thousands-GPU parallel training system on the world-renowned MindSpore AI framework.

Language: English
Mode: Mixed

All members of the HKU members and the general public are welcome to join. Seats for on-site participants are limited.

For more details:  https://innowings.engg.hku.hk/aimodels/

June 27, 2025 (Friday) 4:30pm– 5:30pm Tam Wing Fan Innovation Wing Two

[TechTalk] – Minimally Invasive Brain-Computer Interface (BCI) Research @ HKU

Speaker:  Professor Paddy Kwok Leung Chan
Associate Associate Professor, Department of Mechanical Engineering, HKU

About the talk:

This talk will present the latest advancements from Professor Chan’s research team and his startup company Brainsmart, dedicated to developing minimally invasive brain-computer interface (BCI) technologies for stroke rehabilitation and neurological recovery. His team focuses on flexible neural probes and high-density ECoG arrays that can be implanted without craniotomy, offering safer options for high-risk patients. Professor Chan will highlight their recent results in decoding neural signals related to hearing perception and motor intentions, and discuss how these findings contribute to future neuroprosthetic applications. The talk will also cover their pathway from technology development to clinical translation, aiming to enhance functional recovery and quality of life for patients.

Language: English
Mode: Mixed

All members of the HKU members and the general public are welcome to join. Seats for on-site participants are limited.

For more details:  https://innowings.engg.hku.hk/bci/