In the most recent webinar in the SNIA Data, Storage & Networking “AI Stack” webinar series, “From Data to Decisions: Understanding How AI Models Learn,” Cal Foshee and Eric Gamble provided an in-depth look at how computer vision models learn. They shared specific techniques and concrete examples of how to train and test these models, drawing on their many years of experience. In this interview, Cal and Eric, take a deeper dive on the questions around how computer vision really works in p...
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In the most recent webinar in the SNIA Data, Storage & Networking “AI Stack” webinar series, “From Data to Decisions: Understanding How AI Models Learn,” Cal Foshee and Eric Gamble provided an in-depth look at how computer vision models learn. They shared specific techniques and concrete examples of how to train and test these models, drawing on their many years of experience. In this interview, Cal and Eric, take a deeper dive on the questions around how computer vision really works in p...
Next-Gen SSD Performance: The Power of Flexible Data Placement
SNIA Experts on Data
30 minutes
1 year ago
Next-Gen SSD Performance: The Power of Flexible Data Placement
This episode of the SNIA Experts on Data podcast features Bill Martin who discusses flexible data placement in the context of storage devices. Bill highlights the importance of efficiently placing data to minimize write amplification factor, which can improve the lifetime and performance of SSDs. The discussion delves into the origins of flexible data placement, its benefits in reducing garbage collection, and the significance of industry standardization through SNIA to drive adoption and inn...
SNIA Experts on Data
In the most recent webinar in the SNIA Data, Storage & Networking “AI Stack” webinar series, “From Data to Decisions: Understanding How AI Models Learn,” Cal Foshee and Eric Gamble provided an in-depth look at how computer vision models learn. They shared specific techniques and concrete examples of how to train and test these models, drawing on their many years of experience. In this interview, Cal and Eric, take a deeper dive on the questions around how computer vision really works in p...
