Results 71 to 80 of about 1,831,585 (228)

Toward Scalable LLM-Based Multi-Agent Collaboration: A Dynamic Task Graph Approach with Asynchronous Parallel Execution

Electronics
Deploying Large Language Models (LLMs) in collaborative multi-agent settings represents a promising frontier for complex AI problem-solving, yet the field lacks systematic mechanisms to manage the inherent coordination overhead and resource contention that arise at scale.
Junwei Yu, Yepeng Ding, Jiani Dai, Junjun Zheng, Jingchi Wu, Hiroyuki Sato   +5 more
openaire   +1 more source

About Parallel Programming: Paradigms, Parallel Execution and Collaborative Systems [PDF]

In the last years, there were made efforts for delineation of a stabile and unitary frame, where the problems of logical parallel processing must find solutions at least at the level of imperative languages.
Monica CIACA, Loredana MOCEAN
core  

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Innovating for Net‐Zero: Collaborative and Digital Decarbonisation Strategies in Sunset Industries' Global Value Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal, Narain Gupta, Ashem Emmanuel Egila, Jianwen Zheng, Attique ur Rehman, Justin Zuopeng Zhang, Remsei Sándor   +6 more
wiley   +1 more source

Metallurgy-informed Bayesian optimization: rethinking alloy discovery and design [PDF]

Digital Discovery
Alloy development remains slow and resource-intensive despite advances in Integrated Computational Materials Engineering (ICME) and the Materials Genome Initiative (MGI).
Raymundo Arróyave
doaj   +1 more source

How B Corp Leaders Engage Stakeholders in the Development of B Corp Strategies: Evidence From the Italian Context

Business Strategy and the Environment, EarlyView.
ABSTRACT As companies increasingly define success by measures beyond financial returns, leaders in recent decades have faced a pressing challenge: translating stakeholder‐driven purpose into sustainability strategies that employees genuinely understand and enact.
Lucia Gatti, Dario Risso, Ralf Wagner
wiley   +1 more source

Scaling neural simulations in STACS

Neuromorphic Computing and Engineering
As modern neuroscience tools acquire more details about the brain, the need to move towards biological-scale neural simulations continues to grow. However, effective simulations at scale remain a challenge.
Felix Wang, Shruti Kulkarni, Bradley Theilman, Fredrick Rothganger, Catherine Schuman, Seung-Hwan Lim, James B Aimone   +6 more
doaj   +1 more source

Convergence Clubs in Corporate Sustainability: Identifying Industry and Risk‐Level ESG Convergence Patterns in S&P 500 Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite the growing emphasis on corporate sustainability, it remains unclear whether firms will align with common ESG standards. The Phillips–Sul convergence methodology, in combination with dynamic time‐warping clustering, was utilized to analyze the ESG trajectories of 430 S&P 500 firms from 2019 to 2024.
Abdullah Kürşat Merter, Yavuz Selim Balcıoğlu   +1 more
wiley   +1 more source

MIMD Programs Execution Support on SIMD Machines: A Holistic Survey

IEEE Access
The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism.
Dheya Mustafa, Ruba Alkhasawneh, Fadi Obeidat, Ahmed S. Shatnawi   +3 more
doaj   +1 more source

Synthetic Strategies for the Construction of Cyclobutane‐Fused Heterocycles

European Journal of Organic Chemistry, EarlyView.
Cyclobutane‐fused heterocycles are important motifs commonly present in bioactive compounds, recognized for their rigid 3D structures that confer unique properties. However, synthesizing these compounds remains challenging. This review discusses current methods for their synthesis, such as photochemical, metal‐catalyzed, and Lewis acid‐mediated [2 + 2]
Michela Vargiu, Mauro Uras, Angelo Frongia   +2 more
wiley   +1 more source