The ability to accurately predict deep neural network (DNN) inference
pe...
As Deep Neural Networks (DNNs) are increasingly deployed in safety criti...
Is it possible to restructure the non-linear activation functions in a d...
Emerging Internet-of-things (IoT) applications are driving deployment of...
Autonomous systems are highly vulnerable to a variety of adversarial att...
Building domain-specific architectures for autonomous aerial robots is
c...
Transformer-based language models such as BERT provide significant accur...
The current trend for domain-specific architectures (DSAs) has led to re...
In recent years, there has been tremendous advances in hardware accelera...
On-device CNN inference for real-time computer vision applications can r...
Systolic Arrays are one of the most popular compute substrates within De...
Systolic Arrays are one of the most popular compute substrates within De...
Continuous computer vision (CV) tasks increasingly rely on convolutional...
Machine learning is playing an increasingly significant role in emerging...