AlumNUS

How to Thrive in a Tech-driven world

In an interview with The AlumNUS, Dr Ning Ye (Computing ’11), Robotics Machine Learning Engineer at Tesla, shares some nuggets of advice on how to thrive in a tech-driven world.

Dr Ye’s top tips:

  • Prioritise effort and research above all else, striving to understand topics from first principles.
  • Develop independent thinking skills by conducting personal research and analysis.
  • Embrace the freedom to explore diverse research topics and ideas.
  • Seek out valuable discussions and interactions with knowledgeable peers, whether they are colleagues, customers, or lab mates.
  • Take advantage of opportunities to engage in meaningful dialogue and exchange of ideas to enhance understanding and perspective.

 

His advice is particularly relevant given that machine learning (ML) is growing exponentially. ML is a branch of artificial intelligence where systems learn patterns from data, enabling them to make predictions or decisions without being explicitly programmed.

Source: Machine Learning Market 2022 - 2029
Read more about Dr Ning Ye’s journey to finding his passion for Machine Learning.