Red Hat Patents an AI That Scales Itself Down on Battery-Powered Devices
Running a full AI model on a small edge device, like a factory sensor or a retail kiosk, can drain its battery…
The unglamorous machinery underneath: training methods, inference speedups, model compression, and the scheduling tricks that make AI affordable to run.
Running a full AI model on a small edge device, like a factory sensor or a retail kiosk, can drain its battery…
Running a large AI model usually means one machine has to hold the whole thing. IBM's new patent describes a way to…
IBM's new patent tackles one of the most persistent frustrations in remote training: one person is on a Mac, another is on…
Quantum computers make errors constantly, and a big reason is that calculations have to be rerouted around hardware limitations in ways that…
Nvidia has filed a patent for a system that figures out which neural network design works best for a task, without any…
Building a predictive AI model when your company's own data is thin or messy is a common and expensive problem. IBM's new…
Getting an AI model to do a specific job usually means expensive retraining or a lot of manual trial-and-error with instructions. Google's…
Training an AI model from scratch is expensive and slow, largely because of the sheer size of the images involved. Samsung's new…
Improving an AI model usually means expensive retraining. Salesforce's new patent skips that entirely, letting a second AI rewrite the instructions until…
Nvidia has patented a processor that watches how much work an AI model has to do and automatically tweaks the model's internal…
Every time an AI generates a response, it's making thousands of tiny guesses about what word comes next. Salesforce has patented a…
Sony is patenting a way to train AI models cooperatively across multiple devices, letting them hand off pieces of the work to…
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