Our most popular articles of 2020
From free classes to in-depth discussions, these stories resonated with readers throughout 2020.
- Advances in text-to-speech technologies help computers find their voice
Generating natural sounding, human-like speech has been a goal of scientists for decades.
- Amazon scientist Dr. Nashlie Sephus focuses on ensuring accuracy in machine learning
Her work involves many stakeholders and challenges, but it’s an endeavor that is deeply meaningful to Sephus on both a professional and personal level.
- Amazon's Machine Learning University makes its online courses available to the public
Classes previously only available to Amazon employees are now available for free. Since then MLU has expanded to offer a new class that takes it in the direction of more comprehensive, in-depth machine-learning instruction.
- Amazon's fourth R&D center in Germany is dedicated to open AI research
‘Lablet’s’ leader, Yasser Jadidi, says the research center’s mission aligns with Amazon’s customer orientation and its responsibility to society.
- Amazon scientists author popular deep-learning book
Dive into Deep Learning combines detailed instruction and math with hands-on examples and code. That same book was also expanded in 2020 to incorporate PyTorch and TensorFlow.
- 3 questions about the Amazon–National Science Foundation collaboration on fairness in AI
NSF deputy assistant director Erwin Gianchandani on the challenges addressed by funded projects.
- Samuel L. Jackson celebrity voice for Alexa gets an update
How Amazon conducted customer-obsessed science research and engineering to release a vastly improved experience.
- The history of Amazon's recommendation algorithm
The paper that launched it was based on a research team's idea about taking a new approach to collaborative filtering.
- Amazon scientist Matthias Seeger receives ICML "test of time" award
Seeger and three coauthors were honored for paper that forged durable links between previously separate domains.
- How Rajeev Rastogi’s machine learning team in India develops innovations for customers worldwide
He talked about the ways in which his team works to address the needs of 600 million people online who together speak more than 22 Indian languages with over 19,500 dialects.