The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George Stokes. It has proved its worth for modelling incompressible fluids in ...
Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...
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Nature-inspired navigation system helps robots traverse complex environments without GPS
Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations ...
Neuroscience experts convened in Asilomar to talk through guidelines around ethical research on human neural organoids.
Manifestation isn’t about snapping your fingers and watching the universe rearrange itself. It’s subtler, more like tuning a ...
A new study reveals that the brain’s responsiveness and capacity for learning shift with the time of day, governed by molecules like adenosine that link metabolism, sleep, and neural signaling.
The digital landscape demands constant content creation, yet producing high-quality videos remains time-consuming and ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
OUTFRONT Media Inc. (NYSE: OUT), and Google DeepMind today announced the launch of 'Imagine If…' – an artistic and cultural civic program that invites New Yorkers across all five boroughs to co-create ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Biology Letters study shows that bumblebees can be trained to differentiate between long and short light flashes ...
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