IBM Patents a System That Builds Training Computers on Borrowed Data and Tells Developers What to Fix
Building a predictive AI model when your company's own data is thin or messy is a common and expensive problem. IBM's new…
The unglamorous machinery underneath: training methods, inference speedups, model compression, and the scheduling tricks that make AI affordable to run.
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…
Samsung is patenting a way to let AI models learn from your personal data on your phone, then improve a shared global…
Training an AI model requires tuning dozens of settings before real learning even begins. Nvidia has filed a patent that tries to…
Running a large AI model with many specialized sub-networks is expensive, partly because each specialist carries its own full set of parameters.…
Samsung wants a small AI model to take over your humidifier's controls, reaching the humidity level you want while spending as little…
AI-based location tracking is only as good as the data it trains on, and if that data is always collected in the…
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