Miranda Schwacke, a PhD student at MIT's Department of Materials Science and Engineering, is pioneering research to make artificial intelligence more energy-efficient by drawing inspiration from the human brain. Traditional computing systems process and store data separately, leading to significant energy consumption. In contrast, the brain processes and stores information simultaneously, enabling efficient learning with minimal energy use. Schwacke's work focuses on developing neuromorphic computing systems that mimic this brain-like functionality.
One of Schwacke's key innovations is the development of ionic synapses—tiny electrochemical devices that can adjust their conductivity in response to electrical signals, similar to how neurons strengthen or weaken connections. These devices offer a promising approach to creating computing systems that are both energy-efficient and capable of learning from data in a manner akin to biological systems. Her research aims to address the growing energy demands of AI and machine learning applications by creating systems that process and store information in a more integrated and efficient way.
Schwacke's advisor, Professor Bilge Yildiz, emphasizes the importance of this research, noting that the energy consumption of computing is unsustainably increasing. By exploring electrochemistry for brain-inspired computing, Schwacke's work represents a new context for electrochemistry with significant energy implications. This approach could help move computing toward more sustainable practices, aligning with the broader goal of reducing the environmental impact of technological advancements.
Beyond her technical research, Schwacke is also involved in science outreach through "Kitchen Matters," a group of graduate students who use food and kitchen tools to explain scientific concepts. This initiative reflects her commitment to making science accessible and engaging to the public. Her interdisciplinary approach combines deep technical expertise with a passion for education and sustainability, positioning her as a leading figure in the quest for more sustainable AI technologies.
