Results 71 to 80 of about 141,350 (263)

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

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

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

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

UBE2T‐Driven p53 Degradation Rewires Glycolysis to Orchestrate Lactylation‐Mediated CAFs Activation and ECM Deposition in Pancreatic Cancer

Advanced Science, EarlyView.
This study integrates multi‐omics to reveal the critical role of UBE2T in driving malignancy and stromal co‐evolution in PDAC. UBE2T potentiates glycolysis by regulating p53 degradation via a positive feedback loop, thereby promoting histone H3 lysine 18 lactylation in CAFs and stromal deposition. The UBE2T inhibitor PGG represents a potential strategy
Yong Ma, Wenbo Liu, Mingdou Li, Tao Wang, Bin Zhao, Keshen Wang, Qichen He, Haonan Sun, Huiguo Qing, Xiaoying Guan, Wengui Shi, Long Qin, Yuman Dong, Huinian Zhou, Zeyuan Yu, Xiangyan Jiang, Zuoyi Jiao   +16 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

DADA Enhances CD8+ T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

Advanced Science, EarlyView.
Diisopropylamine dichloroacetate (DADA) enhances CD8+ T cell stemness by improving OXPHOS and mitochondrial fitness in a PDK1‐depenpendent manner. This metabolic shift strengthens CD8+ T cell anti‐tumor immunity, improves responses to PD‐1 blockade, and endows CAR‐T cells with prolonged persistence and resistance to terminal exhaustion, highlighting a ...
Mingyue Bi, Fei Li, Heng Jiang, Lingling Gu, Mengjie Sun, Kunyu Lu, Pianpian Liu, Ruyue Xie, Wenqiang Ma, Meijuan Zheng, Xianwei Wang, Xuefu Wang, Jingjing Cong   +12 more
wiley   +1 more source

ZBTB21 Is a Dual Suppressor of Pyroptosis and MHC‐I Antigen Presentation That Promotes Tumor Immune Evasion

Advanced Science, EarlyView.
ZBTB21 is a transcription factor that epigenetically suppresses pyroptosis and MHC‐I antigen presentation, enabling tumor immune evasion. Genetic ablation of ZBTB21 activates pyroptotic cell death and enhances antigen presentation, recruiting CD8+ T cells to overcome immune checkpoint blockade resistance.
Lei Zhao, Linlin Sheng, Jianhao Qiu, Junjie Ma, Kai Jin, Binggong Zhao, Tianrun Miao, Jing Chen, Yehong Li, Zhan Zhang, Dongfeng Sun, Yongmeng Li, Hui Tian   +12 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source