Results 141 to 150 of about 76,158 (290)

Opportunities challenges and roadmap for humanoid robots in construction

Scientific Reports
The construction industry faces pressing challenges, including persistent labor shortages, hazardous working conditions, and stagnating productivity gains.
Thanakon Uthai, Hengxu You, Mengjun Wang, Kaleb Smith, Everett Spackman, Zoe Ryan, Shuai Li, Jing Du   +7 more
doaj   +1 more source

The Nvidia Innovator’s Dilemma

1. Bibliographic Context and Executive AbstractThis document presents a high-level strategic synthesis of Slava Solodkiy’s April 2026 treatise, The NVIDIA Innovator’s Dilemma. This scholarly review evaluates the strategic trajectory of NVIDIA Corporation, which by early 2026 achieved an unprecedented $5-trillion valuation.
openaire   +1 more source

Predicting The Purchase Decision Nvidia Graphics Card [PDF]

Penelitian ini mengeksplorasi bagaimana citra merek, kesadaran merek, kecintaan merek, dan ekuitas merek mempengaruhi keputusan pembelian. Penelitian ini mengambil judul “Memprediksi Keputusan Pembelian Kartu Grafis NVIDIA”.
RAMADHAN, Ferdin Ridho
core  

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

NVIDIA's Invisible Empire

This research paper examines the structural basis of NVIDIA's dominance in the global AI accelerator market, which stands at 80–92% market share as of 2026. The central argument is that NVIDIA's competitive advantage is not attributable to hardware specifications but to a 20-year software ecosystem called CUDA — a deliberately engineered platform ...
openaire   +2 more sources

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Relative molecule self-attention transformer

Journal of Cheminformatics
The prediction of molecular properties is a crucial aspect in drug discovery that can save a lot of money and time during the drug design process. The use of machine learning methods to predict molecular properties has become increasingly popular in ...
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gaiński, Jacek Tabor, Igor Podolak, Paweł Morkisz, Stanisław Jastrzębski   +7 more
doaj   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu, Daichi Kitaguchi, Yoichi Ninomiya, Yuya Takabe, Mitsumasa Yoshida, Masahiro Yura, Nobuyoshi Takeshita, Takahiro Kinoshita, Masaaki Ito   +8 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source