$${min}_{x\in {R}^{n}}=\left\{\begin{array}{c}{C}_{i}(x)=0, i\in E\\ {C}_{i}(x)\le 0, i\in I\end{array}\right.$$ Harris Hawks Optimization in particular, has emerged ...

Directional Overcurrent Relay (DOCR) coordination has become an increasingly important problem in modern distribution networks, where growing system complexity and high fault-current variability ...

Artificial intelligence and machine learning can help overcome poor solubility and bioavailability. Artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry have been ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Atom Computing and quantum algorithms company Phasecraft today announced the signing of a Memorandum of Understanding (MOU) to explore how application-focused algorithms can be used to benchmark ...