15 examples of real-world challenges: Insights from the AWS Summit Washington, D.C. event

As organizations race to operationalize AI, the conversation is shifting from pilots to real-world AI deployments that ...

CarbonSix raises $40M to deliver intelligent learning machines to the factory floor

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...
GitHub

VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

VLAC is a general-purpose pair-wise critic and manipulation model which designed for real world robot reinforcement learning and data refinement. It provides robust evaluation capabilities for task ...
IEEE

Indian Sign Language Detection for Real-Time Translation using Machine Learning

Abstract: Gestural Language used by deaf and mute communities to communicate by using hand gestures and body movements that rely on visual and spatial patterns known as sign languages. Communication ...
IEEE

Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting

Abstract: This paper presents a novel and comprehensive sim-to-real pipeline for autonomous strawberry harvesting from dense clusters using a Franka Panda robot. Our approach addresses the challenges ...