Vision processing for control of agile autonomous robots requires low-latency computation,
within a limited power and space budget. This is challenging for conventional computing …

As Moore's Law and Dennard scaling trends have slowed, the challenges of building high-
performance computer architectures while maintaining acceptable power efficiency levels …

Robotic systems, such as autonomous unmanned aerial vehicles (UAVs) and self-driving
cars, have been widely deployed in many scenarios and have the potential to revolutionize …

Computer vision and machine learning algorithms operating under a strict power budget
require an alternate computing paradigm. While bitstream computing (BC) satisfies these …

Bees play a crucial role in terrestrial ecosystems. However, beekeepers are unable to
monitor the state of beehives (bees and environment) all the time, which often results in …

With the recent increase in ultra-low power applications, researchers are investigating
alternative architectures that can operate on streaming input data. These target use cases …

Optical flow sensors have been a long running theme in neuromorphic vision sensors which
include circuits that implement the local background intensity adaptation mechanism seen in …

The potential of science and technology to advance human progress is immense. The recent
pandemic highlighted some of the key elements of a multifaceted approach that are …

Motion contrast depth scanning is disclosed herein. A disclosed example apparatus
includes an illumination source that is to provide at least one of spatial or temporal changes …

Simple animals adapt with impunity to the most challenging of conditions without training or
supervision. Their behavioral repertoire is organized into a layered set of exteroceptive …