While most of us jostle for five minutes in front of a GP, Dr Camilla Stokholm invites patients into her home, cooks dinner and eats with them. On the menu might be vegetable lasagne, black bean and ...

Learn how to configure Spring AI to interact with large language models, support user-generated prompts, and connect with a ...

It's a watershed moment for in vitro fertilization (IVF), which can be difficult and expensive. Doctors are hopeful AI can ...

Life's instructions are written in DNA, but it is the enzyme RNA polymerase II (Pol II) that reads the script, transcribing ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

Evolutionary genetics is the study of how genetic variation leads to evolutionary change. It includes topics such as the evolution of genome structure, the genetic basis of speciation and adaptation, ...

This project provides a hands-on tutorial for understanding and implementing the Proximal Policy Optimization (PPO) algorithm to fine-tune Large Language Models (LLMs) using Reinforcement Learning (RL ...