Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...
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But what if, instead of collecting all possible data from a sensor, we could be more selective, collecting just enough data to accurately identify whatever we’re looking for? Th ...
Common sense has been viewed as one of the hardest challenges in AI. That said, ChatGPT4 has acquired what some believe is an impressive sense of humanity. How is this possible? Listen to this week’s ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...
When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...
AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...
This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...