Automotive

Researchers develop algorithm for safer self-driving cars

In a promising development for self-driving car technology, a research team at NYU Tandon School of Engineering has unveiled an algorithm—known as Neurosymbolic Meta-Reinforcement Lookahead Learning (NUMERLA)—that could ...

Automotive

AI model speeds up high-resolution computer vision

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.

Machine learning & AI

Better paths yield better AI: Enhancing pre-existing architectures

Deep Learning (DL) performs classification tasks using a series of layers. To effectively execute these tasks, local decisions are performed progressively along the layers. But can we perform an all-encompassing decision ...

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