The utilization of reinforcement learning (RL) within the field of education holds the potential
to bring about a significant shift in the way students approach and engage with learning and …

This research paper examines the transformative role of artificial intelligence (AI) and
machine learning (ML) in advancing materials discovery and production processes. The …

Particularly in light of the COVID-19 epidemic, t echnology is a catalyst for changing
teaching and learning, not just a tool for providing information. This essay aims to examine …

Difficulty is one of the key drivers of player engagement, and it is often one of the aspects
that designers tweak most to optimise the player experience; operationalising it is, therefore …

This study applies an effective methodology based on Reinforcement Learning to a control
system. Using the Pound–Drever–Hall locking scheme, we match the wavelength of a …

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and
artificial intelligence (AI), outperforming traditional ML methods, especially in handling …

Recent advances in cancer immunotherapy have highlighted the potential of neoantigen-
based vaccines. However, the design of such vaccines is hindered by the possibility of weak …

The application of reinforcement learning (RL) in artificial intelligence has become
increasingly widespread. However, its drawbacks are also apparent, as it requires a large …

Human cultural complexity did not arise in a vacuum. Scholars in the humanities and social
sciences have long debated how ecological factors, such as climate and resource …

T-cell receptors (TCRs) play a crucial role in the immune system by recognizing and binding
to specific antigens presented by infected or cancerous cells. Understanding the sequence …