Nyla Worker

Nyla Worker is a solutions architect at NVIDIA focused on simulation and deep learning within embedded devices. She has extensive experience working on deep learning edge applications for robotics and autonomous vehicles, as well as developing accelerated inference pipelines for embedded devices.

Posts by Nyla Worker

News 3 Sep 21, 2022

Accelerate AI Training Faster Than Ever with New NVIDIA Omniverse Replicator Capabilities

Announced at GTC, technical artists, software developers, and ML engineers can now build custom, physically accurate, synthetic data generation pipelines in the... 6 MIN READ
Technical Walkthrough 1 Jul 27, 2022

Closing the Sim2Real Gap with NVIDIA Isaac Sim and NVIDIA Isaac Replicator

Synthetic data is an important tool in training machine learning models for computer vision applications. Researchers from NVIDIA have introduced a structured... 10 MIN READ
News 1 Jun 27, 2022

Build Custom Synthetic Data Generation Pipelines with Omniverse Replicator

Companies providing synthetic data generation tools and services, as well as developers, can now build custom physically accurate synthetic data generation... 8 MIN READ
Technical Walkthrough 3 Sep 30, 2021

Trimble Explores Acceleration of Autonomous Robot Training with Synthetic Data Generation and NVIDIA Isaac Sim

Deploying an autonomous robot to a new environment can be a tough proposition. How can you gain confidence that the robot’s perception capabilities are robust... 7 MIN READ
Technical Walkthrough 0 Apr 12, 2021

Fast-Tracking Hand Gesture Recognition AI Applications with Pretrained Models from NGC

One of the main challenges and goals when creating an AI application is producing a robust model that is performant with high accuracy. Building such a deep... 19 MIN READ