Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Cambridge, MA – An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...

Outrider's autonomous logistics management system is designed to work side-by-side with many types of actors, including other yard trucks, over-the-road semi-trucks, trailers, delivery trucks, golf ...

00:00 In this week’s CCJ Tech Shorts, we’ll take a look at improved technology that aims to accelerate the adoption of autonomous yard trucks, a new trailer tracker and McLeod’s latest updates. 00:24 ...

Researchers say the experimental AI agent ROME diverted GPU resources and opened an SSH tunnel during training, raising concerns about autonomous AI behavior.

Autonomous vehicles are a growing technology with significant implications for the transportation industry. This is part of FleetOwner's Fleets Explained, a Trucking 101 series to break down aspects ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--ISEE, a leader in autonomous vehicle technology for transportation and logistics, announced today the world’s first commercial fleet deployment of autonomous yard ...