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Deep Learning Based on Physics: Understanding Physics-Informed Neural Networks (PINNs)

Physics-Informed Neural Networks (PINNs), a blend of deep learning with physical laws, are increasingly used to resolve complex differential equations and signify a considerable leap in scientific computing and applied mathematics. The uniqueness of PINNs lies in embedding differential equations directly into the structure of neural networks, thus ensuring the adherence of solutions to fundamental…

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Decoding the Secrets of ‘gpt2-chatbot’: The Latest AI Trend – GPT-4.5 or GPT-5?

The development and progress in the field of artificial intelligence (AI) are unending, with the recent emergence of the AI model, "gpt2-chatbot", generating significant interest within AI circles on Twitter. This model, known as a large language model (LLM), has incited considerable exploration and curiosity amongst AI developers and enthusiasts, who are constantly searching to…

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The language network of our brain has to exert more effort when dealing with intricate and unfamiliar sentences.

Neuroscientists at MIT, with the aid of an artificial language network, have determined the type of sentences that most likely activate the brain's main language processing centers. The recently published study demonstrates that sentences which are more complex, either due to exceptional grammar or unexpected meanings, stimulate stronger responses in these regions. On the other…

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