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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Jul 29, 2019

Today we’re joined by Emma Strubell, currently a visiting scientist at Facebook AI Research. Emma’s focus is on NLP and bringing state of the art NLP systems to practitioners by developing efficient and robust machine learning models. Her paper, Energy and Policy Considerations for Deep Learning in NLP, hones in on one of the biggest topics of the generation: environmental impact. In this episode we discuss:

  • How training neural networks have resulted in an increase in accuracy, however the computational resources required to train these models is staggering - and carbon footprints are only getting bigger
  • Emma’s research methods for determining carbon emissions
  • How companies are reacting to environmental concerns
  • What we, as an industry, can be doing better