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                        ELLIS fosters international collaboration across domains, connecting top researchers while investing in the next generation of AI talent.
                    
                    
                 
                    
                
                    
                        Members
                    
                    
                
            
                        ELLIS Members are leading scientists in machine learning and AI, shaping Europe's global position in these fields.
                    
                    
                 
                    
                
                    
                        About
                    
                    
                
            
                        ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.
                    
                    
                 
    
             
    
                    
                            Zhuo Su
                        
                        
                        
                                PhD
                            
                        
                                        
                                            University of Oulu
                                        
                                    
                                
        Learning compact and efficient feature representations
    
Energy efficient sensing and computing is vital at all levels, from the smallest sensor like the chip to ultra high performance processors and systems like the cloud, especially in the post Moore's Law era. Energy efficient AI enables AI to move beyond the cloud and to reach the edge, which is critical to the progress of advancing AI and making AI ubiquitous over the next decade. Developing efficient, yet hardware-friendly algorithms such as deep network compression and efficient neural architecture search is essential to enable energy efficient AI.
                        Track:
                    
                    
                        Academic Track
                    
                Primary Advisor
                        
                    
                        PhD Duration:
                    
                    
                        October 1st, 2018 - December 31st, 2022
                    
                
                        First Exchange:
                    
                    
                        October 1st, 2021 - March 31st, 2022
                    
                 
                    
                 
    
        