AI Medical Compendium Journal:
National science review

Showing 1 to 10 of 15 articles

Closing the loop: autonomous intelligent control for hypoxia pre-acclimatization and high-altitude health management.

National science review
Hypobaric hypoxia at high altitudes threatens the health of high-altitude residents. The development of effective methods to guarantee the safety of frequent human activities in high-altitude locations is therefore needed. Pre-acclimatization at sea ...

Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering.

National science review
Enzymes, as paramount protein catalysts, occupy a central role in fostering remarkable progress across numerous fields. However, the intricacy of sequence-function relationships continues to obscure our grasp of enzyme behaviors and curtails our capa...

A robotic AI-Chemist system for multi-modal AI-ready database.

National science review
By fusing literature data mining, high-performance simulations, and high-accuracy experiments, robotic AI-Chemist can achieve automated high-throughput production, classification, cleaning, association and fusion of data, and thus develop a multi-mod...

Bioinspired 3D flexible devices and functional systems.

National science review
Flexible devices and functional systems with elaborated three-dimensional (3D) architectures can endow better mechanical/electrical performances, more design freedom, and unique functionalities, when compared to their two-dimensional (2D) counterpart...

Embrace open-environment machine learning for robust AI.

National science review
Dive into the novel OpenML paradigm, unveiling its transformative approach to robust AI in dynamic environment, shaping Automated Machine Learning with adaptability for ground breaking advancements towards Artificial General Intelligence.

Bilevel optimization for automated machine learning: a new perspective on framework and algorithm.

National science review
Formulating the methodology of machine learning by bilevel optimization techniques provides a new perspective to understand and solve automated machine learning problems.

Massive data clustering by multi-scale psychological observations.

National science review
Clustering is the discovery of latent group structure in data and is a fundamental problem in artificial intelligence, and a vital procedure in data-driven scientific research over all disciplines. Yet, existing methods have various limitations, espe...

Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks.

National science review
Interannual variability of the terrestrial ecosystem carbon sink is substantially regulated by various environmental variables and highly dominates the interannual variation of atmospheric carbon dioxide (CO) concentrations. Thus, it is necessary to ...