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Questions related from Muhammad Ehsan
I'm thinking about using DeepSeek's open-source AI models in my current research and would like to hear from others who have done this. What challenges did you face during the integration...
10 February 2025 2,014 2 View
I'm curious about how generative AI is being applied in academic research. For example, Anima Anandkumar's work has shown that AI can speed up and improve simulations in physical sciences....
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I am currently conducting research on integrating variational quantum algorithms with classical deep learning models to overcome the challenges of training high-dimensional networks. In my work, I...
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I am actively researching quantum reinforcement learning, aiming to leverage quantum-enhanced decision-making for sequential tasks. Although quantum algorithms promise speedups through techniques...
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I am researching quantum kernel methods for classification tasks, focusing on mapping classical data into high-dimensional Hilbert spaces using parameterized quantum circuits. My goal is to design...
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The quantum computing landscape is moving fast, and as researchers, we are witnessing a major shift. China's Zuchongzhi-3 has demonstrated computing speeds 1 million times faster than Google's...
01 January 1970 5,304 2 View
Artificial Intelligence (AI) has come a long way, evolving through different stages. Initially, we had Artificial Narrow Intelligence (ANI), also known as Weak AI. ANI is designed to perform...
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DeepSeek has reported an impressive $200 million in annual revenue with a 545% profit margin, making it one of the most profitable AI companies today. Unlike many AI providers, DeepSeek operates...
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Training powerful AI models requires high-end GPUs, which are expensive and consume a lot of energy. Are there alternative techniques to optimize GPU usage, reduce costs, and speed up training...
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