Author

Thomas Bocklitz

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#large language models Review Open access Oct 2026

Energy constraints in large scale artificial intelligence and insights from human cognition for efficient large language models

A cross-layer framework that brings constraints together and examines whether resource-allocation strategies observed in human cognition can inform more sustainable AI design, and extends Green AI by linking these layers and translating insights from human cognition into testable design hypotheses and measurable evalua...

Mahmoud Amiri, Azadeh Mokari, Thomas Bocklitz · Discover Artificial Intellig... · 0 citations

Review Open access Sep 2026

Towards the digital analytical sciences in chemistry and biochemistry: from FAIR data ecosystems to artificial intelligence.

The chemical and biochemical sciences are undergoing a profound digital transformation that is giving rise to the emerging paradigm of the digital analytical sciences, driven by an increasing need for research data digitalization, structuring, and standardization. This Trends article provides a bird's-eye view of how F...

D. Storozhuk, Jawad Kamran, R. Vulchi et al. · Analytical and Bioanalytical... · 0 citations

#machine learning Preprint Sep 2026

iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy

iPINN is introduced, a inverse physics-informed neural network that predicts Lorentzian peak parameters from raw BCARS spectra and reconstructs the resonant susceptibility through a differentiable analytical forward model and supports robust phase retrieval across measurement conditions.

R. Vulchi, Carl Messerschmidt, Mohammadsadegh Vafaeinezhad et al. · 0 citations