Machine learning sensors represent a paradigm shift for the future of
em...
Autonomous vehicles (AVs) must interact with a diverse set of human driv...
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
Sharing forecasts of network timeseries data, such as cellular or electr...
Today's robotic fleets are increasingly measuring high-volume video and ...
Today, even the most compute-and-power constrained robots can measure
co...
The same machine learning model running on different edge devices may pr...
This paper considers multi-agent reinforcement learning (MARL) in networ...
Today's robotic systems are increasingly turning to computationally expe...
Most computer vision systems and computational photography systems are
v...
Operating a distributed data stream processing workload efficiently at s...
Typical large-scale recommender systems use deep learning models that ar...
Today, experiencing virtual reality (VR) is a cumbersome experience whic...
As its price per bit drops, SSD is increasingly becoming the default sto...