Cardiovascular risk factors in childhood linked to adult cognitive function

Cardiovascular risk factors, including higher body mass index (BMI) and waist circumference, in childhood and adolescence are ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
IEEE

Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations

We present an iterative inverse reinforcement learning algorithm to infer optimal cost functions in continuous spaces. Based on a popular maximum entropy criteria, our approach iteratively finds a ...
Science Daily

Scientists reveal a hidden hormone switch for learning

Researchers uncovered how estrogen subtly reshapes learning by strengthening dopamine reward signals in the brain. Rats learned faster when estrogen levels were high and struggled when the hormone’s ...
Frontiers

Associations between body mass index and lung function using Z-scores: a nonlinear relationship and machine learning classification modeling

Introduction: This study systematically investigated the relationship between body mass index (BMI) and lung function, incorporating Z-scores, thereby offering a novel approach to lung function ...
Science Daily

Online brain training reverses 10 years of aging in memory and learning

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...
News Medical

Machine learning identifies key lifestyle factors for healthy brain function

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...
IEEE

Curricular Subgoals for Inverse Reinforcement Learning

Abstract: Inverse Reinforcement Learning (IRL) aims to reconstruct the reward function from expert demonstrations to facilitate policy learning, and has demonstrated its remarkable success in ...
Scientific Research Publishing

Eschmann, J. (2021) Reward Function Design in Reinforcement Learning. In: Belousov, B., Abdulsamad, H., Klink, P., Parisi, S. and Peters, J., Eds., Reinforcement Learning ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
marktechpost

Absci Bio Releases IgDesign: A Deep Learning Approach Transforming Antibody Design with Inverse Folding

Designing antibodies with high specificity and binding affinity to diverse therapeutic antigens remains a significant challenge in drug development. Current methods struggle to effectively generate ...
C&EN

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

(17−19)AI refers to the study of computer programs or systems that can mimic human cognitive functions in data analysis, decision-making, and problem-solving in order to accomplish tasks, such as ...