Quantum Circuit Optimization ... quantum machine learning algorithms can support the development and implementation of personalized healthcare plans by analyzing patients’ genetic information ...

As the world pivots toward renewable energy to meet climate goals and ensure energy security, solar microgrids have emerged as a critical solution mdash;especially in regions with limited access to ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Genetic AI is pushing beyond the familiar realm of deep learning and opening up entirely new dimensions for problem-solving, ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

designed to tackle complex combinatorial optimization problems. This algorithm combines the concepts of quantum computing and recursive algorithms, utilizing the parallel computing capabilities of ...

The MIT model predicts molecular binding affinity at newfound speed and accuracy, offering a powerful tool for commercial drug discovery.

AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating real-world entities before live deployment.

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...