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A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...
How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating effective training data is a challenge that many ML ...
As if defenders of software supply chains didn’t have enough attack vectors to worry about, they now have a new one: machine learning models. ML models are at the heart of technologies such as facial ...