A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
If you’ve worked in the market for years, we know you know all of this. Just enjoy the refresher — you never know when an intern might ask a question about the basics. Markets help match buyers and ...
A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct ...
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Multi-agent reinforcement learning driving smart factory agility
At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Abstract: Graph-based methods have demonstrated strong performance in multi-view clustering (MVC) due to their capability to capture complex data structures. Among these, discrete spectral embedding ...
Abstract: Integrating Large Language Models (LLMs) with Graph Neural Networks (GNNs) has emerged as a dominant paradigm for representation learning on Text-Attributed Graphs (TAGs). Existing ...
When you're setting out to get a new gaming PC or laptop, you've probably noticed there are quite a few models out there without an Nvidia or AMD graphics chip. These devices usually come with an ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
The Graphics Processing Unit (GPU) plays a central part in how you use a computer, irrespective of whether you use it for hardcore gaming or just regular tasks. There are two common types of GPUs, ...
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