To match the lip movements with speech, they designed a "learning pipeline" to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for ...
Researchers discovered remote code execution vulnerabilities in three AI libraries from Apple, Salesforce and Nvidia used by ...
Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...
Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...
Abstract: This paper presents GD-Prox, a Haptic-Glove Dual-Proxy framework for remote dexterous robot hand telemanipulation. The proposed method extends the Dual-Proxy approach to glove-hand systems, ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
The Allen Institute for AI, also known as Ai2, last week released Molmo 2, its latest multimodel suite capable of precise spatial and temporal understanding of video, image, and multi-image sets.
Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...
Dallas Mavericks star Kyrie Irving went viral after a playful robot mishap during a team event while sidelined with ACL injury. The Dallas Mavericks created a lighthearted viral moment this week when ...
Below is an example of a Python-defined pipeline that mirrors what most teams use in production — build, lint, test, coverage, and deploy — all orchestrated through pygha. --src-dir: Source directory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results