View recording of tutorial presented at The Web Conference 2020.Read More
“Pseudo-labels”, negative examples help Alexa match skills to customer requests
Letting a machine learning system label its own examples improves performance.Read More
Nine videos about explainable AI in industry
Industry collaborators create nine-part series that provides theoretical underpinnings for explainable AI and industry case studies.Read More
Locating multiple sound sources from raw audio
An end-to-end deep-learning-based solution circumvents the “permutation problem”.Read More
ICLR: The AI conference that helped redefine the field
Amazon’s Stefano Soatto on how learning representations came to dominate machine learning.Read More
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.Read More
How robots can adapt to new tasks — quickly
New approach to meta-reinforcement learning minimizes the need for costly interactions with the environment.Read More
8 science-related points from Jeff Bezos’s 2019 Shareholder Letter
Bezos’s Shareholder Letter has become a must read, along the lines of Warren Buffet’s letter to Berkshire Hathaway shareholders, or the Bill & Melinda Gates Annual Letter.Read More
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.Read More
The Web Conference goes virtual
In the face of pandemic, the conference takes a step some participants have long advocated.Read More