Should we tax robots?
A small tax on robots, as well as on trade generally, will help reduce income inequality in the U.S., according to economists.
Cheerful chatbots don’t necessarily improve customer service
Humans displaying positive emotions in customer service interactions have long been known to improve customer experience, but researchers wanted to see if this also applied to AI. They conducted experimental studies to determine if positive emotional displays improved customer service and found that emotive AI is only appreciated if the customer expects it, and it …
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Words prove their worth as teaching tools for robots
Exploring a new way to teach robots, Princeton researchers have found that human-language descriptions of tools can accelerate the learning of a simulated robotic arm lifting and using a variety of tools.
Machine-learning framework finds characters’ actions in movie scripts reflect gender stereotypes
Researchers have developed a novel machine-learning framework that uses scene descriptions in movie scripts to automatically recognize different characters’ actions. Applying the framework to hundreds of movie scripts showed that these actions tend to reflect widespread gender stereotypes, some of which are found to be consistent across time. Victor Martinez and colleagues at the University …
OpenAI announces Point-E, a machine learning system that quickly creates 3D images from a text prompt
A team of researchers at San Francisco-based OpenAI, has announced the development of a machine-learning system that can create 3D images from text much more quickly than other systems. The group has published a paper describing their new system, called Point-E, on the arXiv preprint server.
Differential Privacy Accounting by Connecting the Dots
Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the level of guarantee that the algorithm’s output distribution for a …
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Power recommendations and search using an IMDb knowledge graph – Part 2
This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million …
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Power recommendation and search using an IMDb knowledge graph – Part 1
The IMDb and Box Office Mojo Movies/TV/OTT licensable data package provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million movie, TV, and entertainment titles; and global box office reporting data from more than 60 countries. Many AWS media and …
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Accelerate the investment process with AWS Low Code-No Code services
The last few years have seen a tremendous paradigm shift in how institutional asset managers source and integrate multiple data sources into their investment process. With frequent shifts in risk correlations, unexpected sources of volatility, and increasing competition from passive strategies, asset managers are employing a broader set of third-party data sources to gain a …
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The retail AI industry takes stock as the holiday season wraps up
As the holiday season reaches its pinnacle moment, retail AI is facing an uphill battle amid a looming recession and poor Q3 results.Read More