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 ...

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 ...

Want AI search engines and agents to find and use your content? Traditional SEO isn’t enough. AI systems process information differently. This guide breaks down key optimizations to help your content ...

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 ...

Dax Grant is the CEO of Global Transform and an authority on C-suite leadership. Global 100 CIO, 100 Women to Watch, CREA Global Award List. As an entrepreneur in today's fast-paced digital world, ...

Table 8 shows the mean values of the OQS values corresponding to each level and their ranges for the MIM process parameters using the Taguchi method. IP: 350 bar, IT: 140 °C, PL: 64.5%vol, MT: 45 °C, ...