Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI

Kavli Affiliate: Lihong Wang | First 5 Authors: Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens | Summary: Brain structural MRI has been widely used to assess the future progression of cognitive impairment (CI). Previous learning-based studies usually suffer from the issue of small-sized labeled training data, while there exist a huge […]


Continue.. Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI

GPT-4 Reticular Chemist for MOF Discovery

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Zichao Rong, Nakul Rampal, Christian Borgs, Jennifer T. Chayes | Summary: We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human apprentice. This GPT-4 Reticular […]


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A GPT-4 Reticular Chemist for Guiding MOF Discovery

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Zichao Rong, Nakul Rampal, Christian Borgs, Jennifer T. Chayes | Summary: We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human researcher. This GPT-4 Reticular […]


Continue.. A GPT-4 Reticular Chemist for Guiding MOF Discovery

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Oufan Zhang, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi | Summary: We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT’s […]


Continue.. ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Oufan Zhang, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi | Summary: We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT’s […]


Continue.. ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, existing algorithms typically require a large number of high-quality demonstrations that […]


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Problem specific classical optimization of Hamiltonian simulation

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Problem specific classical optimization of Hamiltonian simulation

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


Continue.. Problem specific classical optimization of Hamiltonian simulation