One of the most important issues in contemporary societies is the impact of automation on human work. With AI becoming ever more advanced, what will its impact on automation be?
A mystery Large Language Models (LLM) are on fire, capturing public attention by their ability to provide seemingly impressive completions to user prompts (NYT coverage). They are a delicate…
A review of Timothy Niven and Hung-Yu Kao, 2019: Probing Neural Network Comprehension of Natural Language Arguments
By definition, learning from scratch is just about the least sample-efficient approach there can be.
The last two years have been some of the most exciting and highly anticipated in Automatic Speech Recognition’s (ASR’s) long and rich history, as we saw multiple enterprise-level fully neural network…
MLCommons.org introduces two new public datasets for speech recognition. The People’s Speech is the first large-scale, permissively licensed ASR dataset that includes diverse speech and environments.
Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early academic outputs…
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