The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

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Deep neural networks form the backbone of artificial intelligence (AI) research, with potential to transform the human experience in areas ranging from autonomous driving to personal assistants, healthcare to education. However, their integration into the ...

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Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

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Driven by the need for more efficient and seamless integration of physical models and data, physics -informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of their convergence and accuracy remains ...

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Defending aligned Large Language Models (LLMs) against jailbreaking attacks is a challenging problem, with existing approaches requiring multiple requests or even queries to auxiliary LLMs, making them computationally heavy. Instead, we focus on detecting ...

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The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

Chat with Graph Search

A Human-Centric Approach to Explainable AI for Personalized Education

Incorporating Projective Geometry into Deep Learning

Harnessing Photon Indistinguishability in Quantum Extreme Learning Machines

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Partial Assistance with Lower-Limb Exoskeletons to Enhance Gait and Balance in Daily Living Activities

Residual-based attention in physics-informed neural networks

ThermoNeRF: A multimodal Neural Radiance Field for joint RGB-thermal novel view synthesis of building facades

Single-pass Detection of Jailbreaking Input in Large Language Models

Designing for Intimate Wellbeing: Aidee, a Qualitative Approach To Urine Home Monitoring

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

Orchestrating chromosome conformation capture analysis with Bioconductor