Exponential compute power shrouded by decoherence and cryogenic requirements—our quest to wield quantum computers is a tale of David and the Goliath. (more…)
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Despite the widespread adoption of AI, scaling and deploying AI-based products is as hard as ever; but some new technology is looking to… (more…)
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Software that helps judges decide whether to jail a defendant while they await trial could cut crime and reduce racial disparities amongst prisoners. (more…)
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The use of machine learning (ML) in health care raises numerous ethical
concerns, especially as models can amplify existing health inequities. Here, we
outline ethical considerations for equitable ML in the advancement of health
care. Specifically, we fra... (more…)
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The most challenging part of Machine Learning is “optimization”. Gradient Descent is one of the most popular optimization algorithms used… (more…)
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