Results 231 to 240 of about 740,833 (308)

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Medico-legal case series of litigation involving chronic post-herniorrhaphy inguinal pain: insights from Italian civil verdicts. [PDF]

Hernia
Cirocchi R, Tomassini L, Guarino S, Mingoli A, Cassini D, Cirillo B, Lancia M, Fedeli P, Bruzzone P.   +8 more
europepmc   +1 more source

Quantitative large-scale analysis of judicial decisions: judicial disruption and practices

In the past 30 years, technological advances in computation have allowed to storage, process, and analyze massive amounts of data resulting from all sorts of human activities. The ability to address these large-scale data is crucial in developing new understandings of the sociological and cultural aspects underlying these human activities.
openaire   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

China's Legal Protection System for Pangolins: Past, Present, and Future. [PDF]

Animals (Basel)
Su D, Wu K, Nie A.
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Neurodevelopmental justice: rethinking adolescent criminal responsibility in Puerto Rico. [PDF]

Front Psychol
Ramírez-Rivera E, Martínez-González KG.   +1 more
europepmc   +1 more source

Judicial precedent: from scientific discussions to uniformity of judicial practice

Актуальные проблемы российского права, 2015
openaire   +1 more source