MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...
A universal potential for all-purpose atomic simulations has been pursued for decades, but remains challenging due to limitations in model expressiveness and dataset construction. Now, writing in the ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Chinese artificial intelligence developer DeepSeek today released a new series of open-source large language models. V4, as ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
As neurotechnology advances and brain-reading devices enter consumer, workplace, educational and healthcare markets, state lawmakers are moving swiftly to address the privacy and ethical concerns ...
The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a ...
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Neural data at risk – is the US ready to act?
Brain-computer interface (BCI) technologies are advancing rapidly, and – as with other innovations like artificial intelligence (AI) – regulation often lags, leaving the world to ‘play catch-up.’ In ...
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