Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtualContinue Reading
Latest Posts
Our research activity focused on developing novel adaptive strategies for large-scale networks with applications including adaptive streaming strategies for virtualContinue Reading
Art (I)Relevance: AI and art futures symposium
We will be attending the inaugural ‘AI and art futures symposium’, which will explore the interplay of art market futures,Continue Reading
Vaccine development through graph-based machine learning generated host-pathogen interactome
PI: Laura ToniCollaborators: Royal Veterinary CollegeScheme: LiDO Program Using graph-based machine learning to infer structure and exploitation for prediction of protein-proteinContinue Reading
“Graph Based Reinforcement Learning” Project
PI: Laura ToniPhD Student: Sephora Madjiheurem Using graph signal processing to improve the data-efficiency of reinforcement learning algorithms Description Classical reinforcementContinue Reading
“Adaptive Streaming for Immersive Communications” Project
PI: Laura ToniPhD Student: Silvia Rossi Using machine learning and signal processing techniques to optimize immersive communications. Description Immersive mediaContinue Reading
Laura and Silvia in the OC of MMSys 2020
Laura will be the general co-chair for the 11th edition of ACM Multimedia Systems Conference (MMSys). Silvia will be theContinue Reading
Laura Invited Speaker at the Lancaster-DeepMind Workshop on Bandit
The Statistics group at the Department of Mathematics at Lancaster University and Google Deepmind will be holding a specialist workshopContinue Reading
