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 ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Participants will code, simulate, and benchmark advanced quantum algorithms while applying Quantum Machine Learning (QML) to practical, real-world scenarios.

There are over 100 invasive plant species in Connecticut wreaking havoc on the state’s forests and waterways, but new technology may help ensure new species never get a chance to invade in the first ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...