AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
In the early 2000s, Motorola struggled with product defects and a decline in customer satisfaction. To improve its business processes and regain its competitive edge, Motorola turned to Six Sigma.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback