A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

The Robotic Instruments group at the Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, is seeking a highly motivated master thesis worker or a ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. Databricks, a company that helps big businesses ...

The following are recently published books with potential relevance for professionals within various parts of the chemical process industries (CPI). Advances in Process Control with Real Applications.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents ...