High-precision simulation platforms bridge this gap by providing a controlled environment where developers, data scientists, and product managers can test, validate, and optimize match recommendation ...

The simulation training in the virtual environment provides schemes for the actual movement of the robot. Based on the actual movement data returned by the physical robot, the preset trajectory of the ...

Abstract: This paper investigates the use of Video Foundation Models (ViFMs) for generating robot data summaries to enhance intermittent human supervision of robot teams. We propose a novel framework ...

From disconnected systems to ad-hoc spreadsheets, many businesses rely on manual efforts to piece data together—often at the expense of accuracy, efficiency, and scalability. The result? Fragmented ...

Contextual AI 2.0, which runs vision language models on Ambrarella N1, helps robots understand their environments, said Ottonomy. Kuffner spent over nine years at Toyota, co-founded Google’s robotics ...

The task of extracting these insights from diverse data sources, however, can be challenging. Analytic platforms can harmonise vast amounts of healthcare data into common data models that can be ...

Ben Wolff takes us through the reincarnation of Sarcos into an pure software and AI-based solution called Palladyne AI.

Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...

A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk ...