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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsResearchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...
Artificial intelligence (AI) can’t fully understand language and it’s something people are only just getting their heads ...
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AI gaming platform Neural has announced their expansion to the Solana blockchain, marking a major milestone in the Creator ...
We suggest you ten essential books – all published in the last five years – for Domus, to understand how artificial ...
Ten years into the project, we still haven’t seen an on-chain Amazon or eBay. Our blockchains simply can’t handle the ...
AI is helping farmers automate weed control and create custom tools as they navigate industry challenges and sustainability goals.
Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...
While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.
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The advances of data-driven modeling methods bring new opportunities to numerous intractable tasks in industrial process modeling and exploration. Nevertheless, the extension of these applications has ...
Physics-informed neural networks (PINN) is a machine learning (ML)-based method to solve partial differential equations that has gained great popularity due to the fast development of ML libraries in ...
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