Patent: Sony's Filing Picks the Most Reliable AI by Nudging Its Test Data
When an AI model encounters data it was never trained on, how do you know which of your available models to trust?…
The unglamorous machinery underneath: training methods, inference speedups, model compression, and the scheduling tricks that make AI affordable to run.
When an AI model encounters data it was never trained on, how do you know which of your available models to trust?…
Sony is patenting a control layer that lets a user pick their own AI model and then hand it off to a…
Running AI on a phone or a cheap sensor chip means working with stripped-down numbers that can cause calculations to spiral into…
Google is patenting a way to attach a second, specialized system to an existing AI model, one whose entire job is to…
Training an AI model sounds like pure computing power, but a surprising amount of time is lost just waiting for data to…
When AI models train on low-precision math to save power and time, tiny rounding errors pile up and degrade accuracy. Nvidia's new…
When dozens of phones train an AI model together without sharing raw data, the math can break down fast if every device…
What if your phone could help train an AI model without ever sending your raw data to a server? Qualcomm is filing…
Nvidia has filed a patent for a way to compress AI models using randomly chosen scaling factors, a subtle twist on a…
Training an AI model requires enormous amounts of labeled data, and collecting that data by hand is slow and expensive. Salesforce's new…
AI models often pick a confident-sounding answer that happens to be the first one listed, not necessarily the correct one. Adobe's new…
Teaching an AI to think step by step usually requires an already-capable AI to show it how. Salesforce's new patent describes a…
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