Engineers at Northwestern University in the US have devised an innovative transistor design that not only enables miniaturization but also significantly enhances the energy efficiency of artificial intelligence tasks, making them 100 times more power-efficient. This breakthrough may render cloud computing unnecessary for certain applications. The ubiquity of AI technology has led to a widespread integration of AI-powered features by companies, both large and small. Silicon-based chips have been the driving force behind the AI revolution, with companies like Microsoft investing heavily in cloud-based infrastructure to accommodate the surge in demand. However, Mark Hersam, a Materials Science professor at Northwestern … Continue reading The new design increases AI energy efficiency by 100 times