Heterogeneous computing platform for real-time robotics

Kavli Affiliate: Mazhar Ali | Summary: After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient and reliable production, a new concept of Society 5.0 is emerging, in which infrastructure of a city will be instrumented to increase […]


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Constraining the Fraction of LIGO/Virgo/KAGRA Binary Black Hole Merger Events Associated with Active Galactic Nucleus Flares

Kavli Affiliate: Xian Chen| Summary: The formation channels of binary black hole (BBH) mergers detected by the LIGO/Virgo/KAGRA (LVK) network remain uncertain. While BBH mergers occurring inside active galactic nucleus (AGN) disks may interact with surrounding gas and generate observable optical flares. We test this scenario by quantifying the spatial and temporal correlation between BBH […]


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Jupiter-like uniform metal enrichment in a system of multiple giant exoplanets

Kavli Affiliate: Dimitri Mawet| Summary:The accretion of icy and rocky solids during the formation of a gas giant planet is poorly constrained and challenging to model. Refractory species, like sulfur, are only present in solids in the protoplanetary disk where planets form. Measuring their abundance in planetary atmospheres is one of the most direct ways […]


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User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:The recent paradigm shift toward large reasoning models (LRMs) as autonomous agents has intensified the demand for sophisticated, multi-turn tool-use capabilities. Yet, existing datasets and data-generation approaches are limited by static, predefined toolsets that cannot scale to the complexity of open-ended human-agent […]


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Quantum State Discrimination Enhanced by FPGA-Based AI Engine Technology

Kavli Affiliate: Irfan Siddiqi | Summary:Identifying the state of a quantum bit (qubit), known as quantum state discrimination, is a crucial operation in quantum computing. However, it has been the most error-prone and time-consuming operation on superconducting quantum processors. Due to stringent timing constraints and algorithmic complexity, most qubit state discrimination methods are executed offline. […]


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Evidence of Feedback Effects in Low-luminosity Active Galactic Nuclei Revealed by JWST Spectroscopy

Kavli Affiliate: Claudio Ricci | Summary:This letter presents an analysis of the infrared ($sim 3-28,μm$) spectra extracted from the nuclear ($r < 150$ pc) regions of four low-luminosity active galactic nuclei (AGN), observed by JWST NIRSpec/IFU and MIRI/MRS as an extension of the Galaxy Activity, Torus, and Outflow Survey (GATOS). We find that, compared to […]


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Cell type-specific proximity labeling of organ secretomes reveals energy balance-dependent proteomic remodeling.

Kavli Affiliate: Jeffrey M. Friedman and Ekaterina V. Vinogradova | Authors: Kaja Plucinska, Charlotte R Wayne, Henry Sanford, Boby Mathew, Nathalie Ropek, Stephanie M Adaniya, Corey Model, Nicolas Gomez-Banoy, Ksenia Morozova, Xiongwen Cao, Jeffrey M. Friedman, Ken H. Loh, Paul Cohen and Ekaterina V Vinogradova | Summary: Intercellular communication is critical for maintaining organismal metabolic […]


Continue.. Cell type-specific proximity labeling of organ secretomes reveals energy balance-dependent proteomic remodeling.

Data-driven learning of non-Markovian quantum dynamics

Kavli Affiliate: Susan Clark | Summary:Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for characterizing quantum gates that builds off previous work on learning the Nakajima-Mori-Zwanzig (NMZ) formulation of open system dynamics from time series data, which allows detailed […]


Continue.. Data-driven learning of non-Markovian quantum dynamics

Data-driven learning of non-Markovian quantum dynamics

Kavli Affiliate: Susan Clark | Summary:Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for characterizing quantum gates that builds off previous work on learning the Nakajima-Mori-Zwanzig (NMZ) formulation of open system dynamics from time series data, which allows detailed […]


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An eclipsing 8.56 minute orbital period mass-transferring binary

Kavli Affiliate: Gabor Furesz | Summary:We report the discovery of ATLAS J101342.5-451656.8 (hereafter ATLAS J1013-4516), an 8.56 minute orbital period mass transferring AM Canum Venaticorum binary with mean Gaia magnitude G=19.51. The system was identified via periodic variability in Asteroid Terrestrial-impact Last Alert System light curves of Gaia white dwarf candidates. Follow-up spectroscopy with the […]


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