Results 91 to 100 of about 9,872,600 (246)
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
With the rapid advancement of AI technology, an increasing number of organizations are introducing AI as formal employees in the workplace. By conducting hypothesis testing on 400 sample data from eight highly digitalized companies in China, the findings
Jinli Xue +3 more
doaj +1 more source
This review discusses recent progress in metal complex‐based, non‐enzymatic electrochemical sensors for cholesterol detection. We examine metal oxides, metal sulfides, and hybrid nanomaterials, highlighting their catalytic mechanisms and material design strategies.
Longfei (Jack) Yin +6 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
When Does Human–AI Collaboration Create Value in Live-Streaming Commerce?
Firms are increasingly introducing AI assistants into human-led live-streaming rooms, yet it remains unclear how such assistance should be configured and when it creates economic value.
Yeyang Han, Ke Yan
doaj +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
This study examines how employees' perceptions of AI trust and AI threat shape their collaboration with AI and subsequent career sustainability, grounded in Protection Motivation Theory and Person–Environment Fit Theory.
Ngoc-Hong Duong +5 more
doaj +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source

