Platform One

Simple way to make AUVs

A scalable, modular system for developing underwater autonomous robots is aiming to speed up their design process. The system, developed by researchers at the Massachusetts Institute of Technology (MIT), builds deformable ‘aquabots’ using simple repeating substructures instead of unique components.

Platform One

Neural net’s night crashes assistance

A spiking neural network built using memtransistors can help prevent collisions between autonomous vehicles at night. Almost half of fatal accidents occur at night. As vehicles become autonomous, the ways of detecting and avoiding these collisions must evolve too, but current systems are often complicated, resource-intensive or work poorly in the dark.

Platform One

Avionics design uses ML

Intel and Daedalean have developed the first multi-core reference design for certifiable avionics using machine learning, or ML. The design provides vision-based situational awareness using neural networks with high-resolution, high-throughput camera inputs based on Intel’s 11th Gen Core i7 and Agilex F-Series FPGAs.