In a groundbreaking study that challenges conventional wisdom, researchers have unveiled a fascinating phenomenon—consumers exhibit a preference for AI-generated food imagery over real food images, particularly when unaware of their origin. Published in Food Quality and Preference, these findings shed light on the remarkable allure of AI-enhanced visuals and their potential implications for consumer behavior and sustainability.
In the heart of the MIT-IBM Watson AI Lab, two master’s of engineering students are harnessing the power of natural language to unlock new possibilities in AI technology. This blog delves into the fascinating world of Irene Terpstra and Rujul Gandhi’s research, showcasing how they are leveraging the rich tapestry of human language to build smarter AI systems, from chip design to robot communication and low-resource language processing.