June 9, 2022, 1:11 a.m. | Haozhen Situ, Tianxiang Lu, Minghua Pan, Lvzhou Li

cs.LG updates on arXiv.org arxiv.org

For the goal of strong artificial intelligence that can mimic human-level
intelligence, AI systems would have the ability to adapt to ever-changing
scenarios and learn new knowledge continuously without forgetting previously
acquired knowledge. When a machine learning model is consecutively trained on
multiple tasks that come in sequence, its performance on previously learned
tasks may drop dramatically during the learning process of the newly seen task.
To avoid this phenomenon termed catastrophic forgetting, continual learning,
also known as lifelong learning, …

arxiv continual data knowledge learning quantum quantum data transfer

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US