There are massive amounts of textual data residing in databases, valuable for
many machine learning (ML) tasks. Since ML techniques depend on numerical input
representations, word embeddings are increasingly utilized to convert symbolic
representations su... (more…)
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Malicious online behavior does not want to be detected and bad actors are getting better all the time at hiding their digital footprints. The result is that enterprises find themselves battling against increasingly sophisticated and frequent online attack... (more…)
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Machine learning can sound daunting, but Adafruit and Microsoft are determined to make it easier for everyone to have a go. (more…)
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The workflow for building machine learning models often ends at the evaluation stage: you have achieved an acceptable accuracy, and “ta-da! Mission Accomplished.”... (more…)
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Machine learning (ML) systems are rapidly increasing in size, are acquiring
new capabilities, and are increasingly deployed in high-stakes settings. As
with other powerful technologies, safety for ML should be a leading research
priority. In response to e... (more…)
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