ScienceDaily: Computers & Math News

Despite existing tools that facilitate the sharing of genomic information with researchers, none of those options give Indigenous governments control over how these data are used. In a new article, authors propose a new blockchain model where researchers are only allowed to access the genomic data after the Indigenous entities have approved the research project.

A device driven by artificial intelligence that works to predict when a patient will deteriorate could provide a more accurate picture than traditional vital signs, a new study suggests. The technology continuously monitors patients using data from a single electrocardiogram lead, and researchers say it has the potential to save lives anywhere from the hospital to the battlefield.

Researchers have developed a new method for flexibly creating various needle-shaped laser beams. These long, narrow beams can be used to improve optical coherence tomography (OCT), a noninvasive and versatile imaging tool that is used for scientific research and various types of clinical diagnoses.

Molecular 2D materials find immense applications in materials science, owing to their wide structural variety and easy controllability. Establishing a simple and efficient method for their synthesis is, therefore, important. Now, scientists present a simple method for synthesizing heterolayer coordination nanosheets, a promising 2D material, shedding light on how certain chemical coordination reactions occur at liquid-liquid interfaces. Their method could help develop novel 2D materials with applications in optoelectronic devices.

A research team has succeeded for the first time in producing a molecular electric motor using the DNA origami method. The tiny machine made of genetic material self-assembles and converts electrical energy into kinetic energy. The new nanomotors can be switched on and off, and the researchers can control the rotation speed and rotational direction.

Supercomputer simulations are helping scientists discover new high-entropy alloys. XSEDE allocations on TACC's Stampede2 supercomputer supported density function theory calculations for largest database yet of high-entropy alloy properties. Deep Sets architecture generated predictive models on Stampede2 for the properties of new high-entropy alloys. Study of high-entropy alloys represents an effort of materials scientists to develop new materials for a more sustainable future.

Researchers have developed a new learning method for robots called WHIRL, short for In-the-Wild Human Imitating Robot Learning. WHIRL is an efficient algorithm for one-shot visual imitation. It can learn directly from human-interaction videos and generalize that information to new tasks, making robots well-suited to learning household chores. People constantly perform various tasks in their homes. With WHIRL, a robot can observe those tasks and gather the video data it needs to eventually determine how to complete the job itself.

The implications of new AI voice research go beyond user experience to making AI more efficient, which could change the industry and significantly reduce carbon footprints.

New research has used motion capture technology to assess the accuracy of Video Assistant Referee (VAR) technologies in football. The study suggests that VAR is useful for preventing obvious mistakes but is currently not precise enough to give accurate judgements every time. 

Researchers found that analyzing short amino acid segments from T-cells could improve machine learning algorithms that predict the infection history of the donor. Based on the performance comparison using multiple diseases and sample size, the resulting algorithm could outperform existing solutions on smaller datasets. This work may enable a wider range of rare diseases to be diagnosed by future immunological blood testing.