AIMC Topic: Space Flight

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Taking the 3Rs to a higher level: replacement and reduction of animal testing in life sciences in space research.

Biotechnology advances
Human settlements on the Moon, crewed missions to Mars and space tourism will become a reality in the next few decades. Human presence in space, especially for extended periods of time, will therefore steeply increase. However, despite more than 60 y...

Analyzing the relationship between gene expression and phenotype in space-flown mice using a causal inference machine learning ensemble.

Scientific reports
Spaceflight has several detrimental effects on human and rodent health. For example, liver dysfunction is a common phenotype observed in space-flown rodents, and this dysfunction is partially reflected in transcriptomic changes. Studies linking trans...

Optimizing autonomous artificial intelligence diagnostics for neuro-ocular health in space missions.

Life sciences in space research
Spaceflight-Associated Neuro-Ocular Syndrome (SANS) presents a critical risk in long-duration missions, with microgravity-induced changes that threaten astronaut vision and mission outcomes. Current SANS monitoring, limited to pre- and post-flight ex...

Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

ISA transactions
The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving in a space station. Controlling the locomotion of the robot astronaut is very challenging due to the strong nonlinearity of its complex multi-body dy...

DROD: bio-robotic drill/sampler for planetary subterranean exploration: experiments and challenges.

Bioinspiration & biomimetics
Key features for space exploration equipment, and in particular drills and sampling mechanisms, are low weight, small size, and energy efficiency. These characteristics are substantially required not only in reducing the spaceship flight cost, but al...

Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

International journal of molecular sciences
In the current study, we introduce an integrative machine learning strategy for the autonomous molecular design of protein kinase inhibitors using variational autoencoders and a novel cluster-based perturbation approach for exploration of the chemica...

Design Space Exploration of a Sparse MobileNetV2 Using High-Level Synthesis and Sparse Matrix Techniques on FPGAs.

Sensors (Basel, Switzerland)
Convolution Neural Networks (CNNs) are gaining ground in deep learning and Artificial Intelligence (AI) domains, and they can benefit from rapid prototyping in order to produce efficient and low-power hardware designs. The inference process of a Deep...

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

Life sciences in space research
During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future space missions exposing astronauts to longer periods of microgravity, such as missions to Mars, there will be a need to better understand this phenome...

Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle.

Sensors (Basel, Switzerland)
Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight. Due to advances in deep learning techniques, various approaches have been studied to classif...