Results 241 to 250 of about 13,053 (294)

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Exclusion of Necrotizing Soft-tissue Infection in a Patient with Malpositioned Intraosseous Access: A Case Report. [PDF]

J Orthop Case Rep
Leland CR, Nam HH, Bernstein DN, Harper CM, Appleton PT, Ibrahim IO.   +5 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Multimodal deep learning for international investment arbitration outcome prediction and bilateral investment agreement negotiation strategy optimization. [PDF]

Sci Rep
Wu H, Xu J.
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Effect of mass transfers of enrollees from liquidated health insurance companies on the financial sustainability of health insurance: an ecological study in the Colombian health system. [PDF]

BMJ Glob Health
Pinzon Florez CE, Gómez Ardila C, Ruiz-Rodriguez M.   +2 more
europepmc   +1 more source

LINGUO-CULTURAL SITUATION THROUGH THE PRISM OF PRECEDENT PHENOMENON AS A REFLECTION OF INTERTEXTUALITY IN THE EPOCH OF GLOBALIZATION

Bulletin of the Moscow State Regional University (Linguistics), 2019
openaire   +2 more sources

Reflections on the EMBO Workshop: Neuroscience of Sleep 2025. [PDF]

Biol Open
Kumar R, Mukherji R, Singh K.
europepmc   +1 more source