Learning

My First Week of CS330 at Stanford

September 21, 2020 in Machine Learning

Meta Learning is one of the promising lines of work that aim to solve the small data problems in machine learning field. Currently, many people working on AI are thinking day and night about how to scale AI systems and improve their profit margins. One main challenge to solve is how to quickly build an AI model that reaches human-level performance on classes with only a few samples.

Stanford AI Salon - Deep Reinforcement Learning for Real World Systems

November 16, 2018 in Machine Learning

Today I went to Stanford to attend an AI Salon session hosted by the Stanford AI Lab. The topic of the salon today was "Deep Reinforcement Learning for Real World Systems". The speakers were Prof. Sergey Levine & Prof. Mykel Kochenderfer.

About Future Telling, PhD Degree, and Self-Evolving

January 21, 2018 in Personal Growth

He wants to establish a thought framework, through years’ work on the cutting-edge technology in the field, to evaluate problems from the core and foresee the probability of coming trends. The vision can help a person to go beyond a high performing and productive programmer, but become a leader who can form a team and find the right point to make disruptions.