A skill becomes automatic as the brain rewires itself to bypass its own bottleneck, new study suggests

Riding a bike, reading a book or folding laundry while watching TV can feel effortless, almost like your brain does it on ...

How to see like a surgeon: Cracking the code of visual expertise to train AI

We commonly say an art curator casts "an expert eye" over a painting, or an auditor over a set of accounts. But what is it ...

A spider’s eye view could transform machine vision

Researchers have developed SpiderCam, a low-power 3D imaging system inspired by jumping spiders' unique depth-perception ...
Analytics Insight

How AI-Powered Machine Vision is Reshaping Modern Robotics

AI-powered machine vision is redefining modern robotics by enabling machines to recognize objects, navigate spaces, and adjust actions autonomously. These capabilities support faster production, ...
GitHub

Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

Depth Any Camera (DAC) is a zero-shot metric depth estimation framework that extends a perspective-trained model to handle any type of camera with varying FoVs effectively. Tired of collecting new ...
IEEE

Enhanced Geometry and Semantics for Camera-Based 3D Semantic Scene Completion

Abstract: Giving machines the ability to infer the complete 3D geometry and semantics of complex scenes is crucial for many downstream tasks, such as decision-making and planning. Vision-centric ...
IEEE

Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception

Abstract: We introduce the Aria Digital Twin (ADT) 1 - an egocentric dataset captured using Aria glasses with extensive object, environment, and human level ground truth. This ADT release contains 200 ...