The Board of Directors of AMTA (the Association for Machine Translation in the Americas) is pleased to announce the first ...

Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...

Objective: An estimated 15 million people are affected by depression and anxiety in Pakistan. However, there are relatively few government mental health facilities and certified psychiatrists. This ...

Data is the oil that fuels the AI gold rush; machines need it to understand the world and help us solve its most pressing problems. But the way we use, collect and store data is evolving as quickly as ...

Ambuj Tewari receives funding from NSF and NIH. You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to ...

Perhaps in the earlier days of AI/ML, you were a little curious about what the limiting factors would be in these new technologies. One potential one was cost, but we’ve seen the value of compute ...

Data center capacity has become a barometer for both the health of the tech market and the risk of an A.I. bubble. By Ian Frisch Trillions of dollars are flowing into the data centers needed to power ...

Explore the intersection of AI, game theory, and behavioral strategies. Explore the intersection of AI, game theory, and behavioral strategies. Explore the intersection of AI, game theory, and ...

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