Results 211 to 220 of about 7,172,817 (283)

The impact of generative artificial intelligence on innovation: Evidence from software products

Strategic Management Journal, EarlyView.
Abstract Research Summary We study the impact of generative artificial intelligence (GAI) tools on product‐level innovation outcomes in the context of software products. Specifically, we illustrate how GAI can alter the direction of innovation by shifting the activities of developers away from generational innovation and toward original innovation ...
Erdem Doğukan Yılmaz, Tim Meyer
wiley   +1 more source

An adversarial-resilient intrusion detection framework for internet of medical things (IoMT) using digital twin-enabled behavioral threat modeling and federated hybrid ensemble learning. [PDF]

Sci Rep
Alkhattabi K, Belhaj S, Selecky J, Talha M.   +3 more
europepmc   +1 more source

Does innovation success need advocacy? Stakeholder involvement in firm innovation

Strategic Management Journal, EarlyView.
Abstract Research Summary Prior research documents that firms often collaborate with advocacy groups to mitigate stakeholder contention. Integrating stakeholder theory into a performance model of collaborative innovation, we propose an overlooked explanation for such collaborations: to enhance the adoption of firms' innovations.
Paolo Carioli, Christoph Grimpe, Karin Hoisl, Wolfgang Sofka   +3 more
wiley   +1 more source

AI-Driven Problem Solving for Cyber-Physical Systems Security: An Assessment Framework. [PDF]

Sensors (Basel)
Kulothungan V, Gupta D, Dhakal R, Kandel LN.   +3 more
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

A Comprehensive Survey on Online AutoML and Adversarial Robustness for IoT and EV Charging Network Security. [PDF]

Sensors (Basel)
Zaheer W, Nwokoye CH, Afrasiabi SN, El-Khatib K, Yang L.   +4 more
europepmc   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

Generative and Foundation-Based Artificial Intelligence in Medical Imaging: A Bibliometric Analysis of Global and United Kingdom Research, 2017-2025. [PDF]

Cureus
Naidu J, Naidu S, Baskaradoss V.
europepmc   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Decoupling the Dual Impact of NISQ Noise on Quantum Adversarial Robustness. [PDF]

Entropy (Basel)
Wang H, Ye S, Wang S, Wang H, Shi Z, Yang W.   +5 more
europepmc   +1 more source