Results 61 to 70 of about 137,842 (266)

Artificial Intelligence Plant Doctor: Plant Disease Diagnosis Using GPT4-vision [PDF]

Research in Plant Disease
Integrated pest management is essential for controlling plant diseases that reduce crop yields. Rapid diagnosis is crucial for effective management in the event of an outbreak to identify the cause and minimize damage.
Yoeguang Hue, Jea Hyeoung Kim, Gang Lee, Byungheon Choi, Hyun Sim, Jongbum Jeon, Mun-Il Ahn, Yong Kyu Han, Ki-Tae Kim   +8 more
doaj   +1 more source

Maximize the Electrocatalytic Activity of Pt Toward Ethanol Oxidation via Engineering PdPt1 Single‐Atom Alloy Skin

Advanced Materials, EarlyView.
Maximizing atomic utilization of Pt is crucial for efficient electrocatalysis. We constructed a tensile‐strained PdPt1 single‐atom alloy (SAA) skin by implanting atomically dispersed Pt onto the surface of intermetallic Pd5Bi3 core‐ultrathin Pd shell octahedrons, fully exposing active Pt atoms to boost ethanol oxidation electrocatalysis.
Wen Chen, Lei Xie, Yong Li, Shuiping Luo, Xinyi Cai, Tangting Li, Junhao Qiu, Zhichao Yang, Zhihan Yuan, Shao‐Qing Liu, Xian‐Zhu Fu, Jing‐Li Luo   +11 more
wiley   +1 more source

Contraction and optimality properties of an adaptive Legendre-Galerkin method: the multi-dimensional case

, 2014
We analyze the theoretical properties of an adaptive Legendre-Galerkin method in the multidimensional case. After the recent investigations for Fourier-Galerkin methods in a periodic box and for Legendre-Galerkin methods in the one dimensional setting ...
Canuto, Claudio, Simoncini, Valeria, Verani, Marco   +2 more
core   +1 more source

Universal Fluorine‐Free Proton Exchange Polymers for High‐Performance and Durable Fuel Cells Operable Under Severe Conditions

Advanced Materials, EarlyView.
Due to excellent physical and chemical stability, the novel designed fluorine‐free polymers with aliphatic‐chain backbones (SP‐PAC12‐QP) are regarded as promising and universal alternatives to perfluorosulfonic acid membranes. Their performances are further improved by physical reinforcement, where the fuel cell performance under high temperature and ...
Fanghua Liu, Kenji Miyatake, Ick Soo Kim, Ahmed Mohamed Ahmed Mahmoud, Vikrant Yadav, Fang Xian   +5 more
wiley   +1 more source

Conformant Planning via Symbolic Model Checking

, 2011
We tackle the problem of planning in nondeterministic domains, by presenting a new approach to conformant planning. Conformant planning is the problem of finding a sequence of actions that is guaranteed to achieve the goal despite the nondeterminism of ...
Cimatti, A., Roveri, M.
core   +1 more source

gpt-oss-120b & gpt-oss-20b Model Card

We present gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models that push the frontier of accuracy and inference cost. The models use an efficient mixture-of-expert transformer architecture and are trained using large-scale distillation and reinforcement learning.
OpenAI, Agarwal, Sandhini, Ahmad, Lama, Ai, Jason, Altman, Sam, Applebaum, Andy, Arbus, Edwin, Arora, Rahul K., Bai, Yu, Baker, Bowen, Bao, Haiming, Barak, Boaz, Bennett, Ally, Bertao, Tyler, Brett, Nivedita, Brevdo, Eugene, Brockman, Greg, Bubeck, Sebastien, Chang, Che, Chen, Kai, Chen, Mark, Cheung, Enoch, Clark, Aidan, Cook, Dan, Dukhan, Marat, Dvorak, Casey, Fives, Kevin, Fomenko, Vlad, Garipov, Timur, Georgiev, Kristian, Glaese, Mia, Gogineni, Tarun, Goucher, Adam, Gross, Lukas, Guzman, Katia Gil, Hallman, John, Hehir, Jackie, Heidecke, Johannes, Helyar, Alec, Hu, Haitang, Huet, Romain, Huh, Jacob, Jain, Saachi, Johnson, Zach, Koch, Chris, Kofman, Irina, Kundel, Dominik, Kwon, Jason, Kyrylov, Volodymyr, Le, Elaine Ya, Leclerc, Guillaume, Lennon, James Park, Lessans, Scott, Lezcano-Casado, Mario, Li, Yuanzhi, Li, Zhuohan, Lin, Ji, Liss, Jordan, Lily, Liu, Liu, Jiancheng, Lu, Kevin, Lu, Chris, Martinovic, Zoran, McCallum, Lindsay, McGrath, Josh, McKinney, Scott, McLaughlin, Aidan, Mei, Song, Mostovoy, Steve, Mu, Tong, Myles, Gideon, Neitz, Alexander, Nichol, Alex, Pachocki, Jakub, Paino, Alex, Palmie, Dana, Pantuliano, Ashley, Parascandolo, Giambattista, Park, Jongsoo, Pathak, Leher, Paz, Carolina, Peran, Ludovic, Pimenov, Dmitry, Pokrass, Michelle, Proehl, Elizabeth, Qiu, Huida, Raila, Gaby, Raso, Filippo, Ren, Hongyu, Richardson, Kimmy, Robinson, David, Rotsted, Bob, Salman, Hadi, Sanjeev, Suvansh, Schwarzer, Max, Sculley, D., Sikchi, Harshit, Simon, Kendal, Singhal, Karan, Song, Yang, Stuckey, Dane, Sun, Zhiqing, Tillet, Philippe, Toizer, Sam, Tsimpourlas, Foivos, Vyas, Nikhil, Wallace, Eric, Wang, Xin, Wang, Miles, Watkins, Olivia, Weil, Kevin, Wendling, Amy, Whinnery, Kevin, Whitney, Cedric, Wong, Hannah, Yang, Lin, Yang, Yu, Yasunaga, Michihiro, Ying, Kristen, Zaremba, Wojciech, Zhan, Wenting, Zhang, Cyril, Zhang, Brian, Zhang, Eddie, Zhao, Shengjia   +125 more
openaire   +2 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Automatic construction accident report analysis using large language models (LLMs)

Journal of Intelligent Construction
Construction site safety is a paramount concern, given the high rate of accidents and fatalities in the sector. This study introduces a novel approach to analyzing construction accident reports by employing advanced large language models (LLMs ...
Ehsan Ahmadi, Shashank Muley, Chao Wang
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source