Results 161 to 170 of about 152,360 (260)

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit   +8 more
wiley   +1 more source

PRISM, a Bidirectional NMR Foundation Model: From Peak List to Structure and Back

open access: yesAngewandte Chemie, EarlyView.
Structure elucidation from NMR can consume an expert for hours or even days. PRISM addresses this with a bidirectional transformer trained on 1.19 M real experimental spectra: it translates 1H and 13C peak lists into structures with 60.1% stereo‐aware top‐1 accuracy (72.5% stereo‐unaware), and, working in reverse, predicts spectra back from structures,
Ajnabiul Hoque, Frank Glorius
wiley   +2 more sources

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian   +10 more
wiley   +1 more source

AI‐Powered 3D Liver Fat Volumetric Map for Clinical‐Grade Steatosis Assessment From Cross‐Modality MRI

open access: yesAdvanced Intelligent Systems, EarlyView.
An automated, AI‐powered system generates a 3D liver fat volumetric map for precise fat fraction quantification from MRI. By overcoming manual analysis constraints, it provides high‐fidelity spatial characterization of steatosis. This graphical abstract highlights a clinically robust framework that enables efficient, anatomically informed assessment ...
Bincan Deng   +9 more
wiley   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich   +4 more
wiley   +1 more source

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