This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations by Alec Farid in Trajectory Prediction
Introduction
Alec Farid is an accomplished inventor based in Princeton, NJ (US). He has made significant contributions to the field of machine learning and trajectory prediction. His innovative work focuses on enhancing the reliability of machines in dynamic environments.
Latest Patents
Alec Farid holds a patent titled "Task-relevant failure detection for trajectory prediction in machines." This patent addresses the evaluation of cost probability distributions related to predicted locations of objects and machines within an environment. The method involves comparing observed costs to threshold values, which are determined by sampling a predicted cost function. This approach ensures that false-positive and false-negative rates are managed effectively for anomaly detection. The results of this evaluation can inform control operations, allowing for the reuse of planned trajectories or the generation of new ones based on detected anomalies.
Career Highlights
Alec Farid is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia has positioned him at the forefront of innovation in machine learning applications.
Collaborations
Alec collaborates with talented individuals such as Sushant Veer and Karen Yan Ming Leung. Their combined expertise contributes to the development of cutting-edge technologies in their field.
Conclusion
Alec Farid's contributions to trajectory prediction and machine learning exemplify the impact of innovative thinking in technology. His patent and work at Nvidia Corporation highlight his role as a key player in advancing machine intelligence.