Meeting with Sustainable Artificial Intelligence (SAI)

Last month GAISSA members had the opportunity to share ideas and thoughts with the Sustainable Artificial Intelligence (SAI) Research Unit.

Summary:
The goal of SAI RU is to address the sustainability of developing and using AI systems and to promote the use of AI towards the sustainable development goals. Our research is multi-disciplinary in nature and spans several research areas including data science, computer science, network science, information engineering, wireless communications, energy engineering, environmental engineering and remote sensing. Our core focus is the definition, design and implementation of energy-aware, high-accuracy and interpretable ML methods for networked cyber-physical systems. The is to provide new methodological approaches for highly efficient learning systems from the theoretical definition up to the implementation into computing platforms, being here the main objectives: decentralization (e.g., federated learning, continual learning, transfer learning), interpretability, security and energy-efficiency. SUPERCOM is the common experimental framework of the SAI RU, enabling data generation and collection, data exploration and data processing. SUPERCOM comprises a modular incorporation of: i) the Central Computing Engine, made of a pool of high-performance GPU-based clusters, ii) the Edge Computing Engine, which is a set of multi-access edge nodes with computing capabilities and, finally, iii) the On-Device Computing Engine, an ensemble of heterogeneous devices like smart sensors, machines, wireless sniffers (LTE) and mobile phones providing low latency, data security and privacy with limited computing capabilities. The platform is controlled via ad hoc-designed software by the SAI researchers enabling multiple data processing and mining tools, spanning from real data collection and generation, data cleaning, pre-processing and visualization to model building, results analysis, and informed decision-making.

See more: https://www.cttc.cat/sustainable-artificial-intelligence-sai/