Workshop On Energy Efficient Machine Learning And Cognitive Computing For Embedded Applications
会议地点: Washington D.C., USA
As artificial intelligence and other forms of cognitive computing continue to proliferate into new domains, many new forums for dialogue and knowledge sharing have emerged. In the proposed workshop, the primary focus is on the discussion and dialogues on energy efficient techniques for cognitive computing and machine learning particularly for embedded applications and systems. For such resource constrained environments, performance alone is never sufficient, requiring system designers to balance performance with power, energy, and area (overall PPA metric).
The goal of this workshop is to provide a forum for researchers who are exploring novel ideas in the field of energy efficient machine learning and artificial intelligence for embedded applications. We also hope to provide a solid platform for forging relationships and exchange of ideas between the industry and the academic world through discussions and active collaborations.