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Category: robotics/AI – Page 38

A Chinese research team has developed the world’s smallest and lightest known untethered terrestrial-aerial microrobot capable of transforming into various desired shapes, expected to replace humans in performing a wide range of tasks in complex and hazardous environments.

The robot measuring 9 centimeters in length and 25 grams in weight can operate flexibly on land and in the air with a top speed of up to 1.6 meters per second on the ground, according to the research team from Tsinghua University.

The research team has recently developed a thin-film-shaped small-scale actuator that enables microrobots to continuously transform their shape and “lock” into specific configurations — much like a Transformer — enhancing their ability to adapt to different environments.

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Collaborative use of population-level health data and artificial intelligence is essential for achieving precision health through a learning health system. Two groundbreaking initiatives—the European Health Data Space (EHDS), covering 449 million EU citizens, and Germany’s forthcoming Health Data Lab, providing access to data from 75 million insured individuals (90% of the country’s population)—offer unprecedented opportunities to advance digital health innovation and research with global impact.

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Characterizing the intelligence of biological organisms is challenging yet crucial. This paper demonstrates the capacity of canonical neural networks to autonomously generate diverse intelligent algorithms by leveraging an equivalence between concepts from three areas of cognitive computation: neural network-based dynamical systems, statistical inference, and Turing machines.

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The newly discovered SLYM membrane segregates clean and dirty CSF, supporting the brain’s immune defenses and glymphatic system, paving the way for targeted treatments and deeper understanding of brain diseases. The human brain, with its intricacies ranging from neural networks to fundamental bio

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Existing numerical computing libraries lack native support for physical units, limiting their application in rigorous scientific computing. Here, the authors developed SAIUnit, which integrates physical units, and unit-aware mathematical functions and transformations into numerical computing libraries for artificial intelligence-driven scientific computing.

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Einstein imagined gravitational waves over a hundred years ago, but it wasn’t until 2016 that technology finally caught up. Now, researchers are pushing the boundaries again – this time with the help of an AI named Urania. Developed by Dr. Mario Krenn and his team, Urania has designed a series of

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