Détails de l'événement.

Artificial Intelligence and machine learning algorithms are becoming mainstream in multiple domains, from industrial diagnostics, healthcare, city management to personal voice. As the user base grows, so does the total energy consumed by their creation, training, and execution. In particular, the recent introduction of gigantic models, consisting of hundreds of billions of parameters, raised questions on their environmental impact.

In this workshop, the energy needs of AI are placed in a global context, showing the complexity of the ecosystem, from centralised processing in datacentres to distributed processing on mobile devices. Synergies between hardware and software promise massive reductions in energy consumption, enabling a more sustainable use of AI. This is reflected in the common effort of several institutions.

Timing

11:01 : OPENING - WELCOME - INTRODUCTION OF THE SPEAKER

11:05 : KEYNOTE

11:38 :PANEL & Q&A

11:48 :LAST QUESTION

11:50 : CLOSING - INTRODUCING NEXT SESSION & RELATED EVENTS