Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Modeling is an important task in classic control system design. However, as the robotics systems are getting more complex, the modeling tasks using fundamental physical principles are becoming more ...

Neural networks have become increasingly effective at many difficult machine learning tasks. However, the nonlinear and large-scale nature of neural networks makes them hard to analyze, and, therefore ...