A new approach to sustainable AI: Offloading part of the computational burden onto light

As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç University’s Department of Electrical and Electronics Engineering has developed two new systems that use light itself, rather than conventional electronic circuitry, to perform computations for artificial intelligence. Published …

AI image watermarks can survive new model training, but durability varies by design

Watermarks are increasingly being used to make AI-generated images recognizable and to ensure their origin can be traced. Previous research has focused on whether watermarks can withstand image manipulation. CISPA researcher Michel Meintz from the SprintML Lab has investigated whether watermarks can withstand the training of a new generative model.