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DNN

Better machine learning in drones and resource-limited environments

2 minute read

Published:

With machine learning applications flourishing across different platforms, from large-scale data centers to small Internet of Things (IoT) devices, the need for better performance and efficiency keeps growing. In the 2019 system design contest held by Design Automation Conference (DAC), Prof. Cong Hao and her team won the first place with a special software-hardware co-design approach.

FPGA

Better machine learning in drones and resource-limited environments

2 minute read

Published:

With machine learning applications flourishing across different platforms, from large-scale data centers to small Internet of Things (IoT) devices, the need for better performance and efficiency keeps growing. In the 2019 system design contest held by Design Automation Conference (DAC), Prof. Cong Hao and her team won the first place with a special software-hardware co-design approach.

Interview

Better machine learning in drones and resource-limited environments

2 minute read

Published:

With machine learning applications flourishing across different platforms, from large-scale data centers to small Internet of Things (IoT) devices, the need for better performance and efficiency keeps growing. In the 2019 system design contest held by Design Automation Conference (DAC), Prof. Cong Hao and her team won the first place with a special software-hardware co-design approach.

Software-Hardware Co-design

Better machine learning in drones and resource-limited environments

2 minute read

Published:

With machine learning applications flourishing across different platforms, from large-scale data centers to small Internet of Things (IoT) devices, the need for better performance and efficiency keeps growing. In the 2019 system design contest held by Design Automation Conference (DAC), Prof. Cong Hao and her team won the first place with a special software-hardware co-design approach.