Kavli Affiliate: Long Zhang | First 5 Authors: Fei Huang, Fei Huang, , , | Summary: GeoGPT is an open large language model system built to advance research in the geosciences. To enhance its domain-specific capabilities, we integrated Retrieval Augmented Generation(RAG), which augments model outputs with relevant information retrieved from an external knowledge source. GeoGPT […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Jiaqi Wei, Jiaqi Wei, , , | Summary: Artificial intelligence (AI) is reshaping scientific discovery, evolving from specialized computational tools into autonomous research partners. We position Agentic Science as a pivotal stage within the broader AI for Science paradigm, where AI systems progress from partial assistance to […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yukang Lin, Yukang Lin, , , | Summary: Creative image in advertising is the heart and soul of e-commerce platform. An eye-catching creative image can enhance the shopping experience for users, boosting income for advertisers and advertising revenue for platforms. With the advent of AIGC technology, advertisers […]
Kavli Affiliate: Lars Bildsten | Summary:Following a type Ia supernova (SN Ia) in a double white dwarf (WD) binary, a surviving WD companion leaves at its orbital velocity $approx 1$,000 – 3,000 km/s. The Gaia mission has discovered seven such hypervelocity WDs with inflated radii indicative of shock heating by SN ejecta. We study the […]
Kavli Affiliate: Lars Bildsten | Summary:We present the first 3D Radiation-Hydrodynamics simulations of partially-stripped ($M_mathrmcoresim10M_odot$, $M_mathrmenvsim0.1-1M_odot$) Yellow Supergiant ($Lsim10^5$, $T_mathrmeffapprox5000-8000$K) envelopes, constructed with Athena++. These envelope models represent the progenitors of Type IIb supernovae (SNe-IIb), which have lost a substantial fraction of their H-rich envelope before undergoing core-collapse. The luminosity-to-mass ratio is high in these […]
Kavli Affiliate: Jing Wang | First 5 Authors: Wenkai Li, Wenkai Li, , , | Summary: Accurate power prediction in VLSI design is crucial for effective power optimization, especially as designs get transformed from gate-level netlist to layout stages. However, traditional accurate power simulation requires time-consuming back-end processing and simulation steps, which significantly impede design […]
Kavli Affiliate: Jia Liu | First 5 Authors: Bing Han, Bing Han, , , | Summary: Machine anomalous sound detection (ASD) is a valuable technique across various applications. However, its generalization performance is often limited due to challenges in data collection and the complexity of acoustic environments. Inspired by the success of large pre-trained models […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: Data fusion and transfer learning are rapidly growing fields that enhance model performance for a target population by leveraging other related data sources or tasks. The challenges lie in the various potential heterogeneities between the target and external data, […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: Based on the magnetic reconnection mechanism, this study investigates how to extract energy effectively from an accelerating Kerr black hole in the plunging region and circular orbit region. After introducing the properties of accelerating black holes, including the event […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: Based on the magnetic reconnection mechanism, this study investigates how to extract energy effectively from an accelerating Kerr black hole in the plunging region and circular orbit region. After introducing the properties of accelerating black holes, including the event […]