Results 41 to 50 of about 49,131 (211)
An LLM‐based multi‐agent network screens academic literature to propose multiple environmentally friendly aqueous deep eutectic electrolytes for zinc‐ion batteries. Experiments identify an optimal composition of Zn(BF4)2·xH2O and ethylene carbonate, which shows high conductivity and cycling stability.
Matthew J. Robson+4 more
wiley +1 more source
Developing ChatGPT’s Theory of Mind
The performance of ChatGPT is so remarkable that some have suggested it is "developing" a Theory of Mind (ToM). This commentary confirms and extends this evidence, while also identifying and discussing some peculiarities of ChatGPT's ToM. It suggests that the highlighted limitations can only be overcome through an artificial ToM model that takes better
Antonella Marchetti+8 more
openaire +5 more sources
A wireless bioelectronic ion pump platform is developed for controlled fluoxetine delivery for wound healing in a large mammal model. Over 3 days, treated wounds showed 37% greater re‐epithelialization and a 33% lower ratio of pro‐inflammatory to reparative macrophages.
Houpu Li+25 more
wiley +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
wiley +1 more source
How to Manufacture Photonic Metamaterials
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley +1 more source
Generative AI, Why, How, and Outcomes: A User Adoption Study [PDF]
Drawing on the extended unified theory of acceptance and use of technology (UTAUT2) and task-technology fit (TTF) theory, we developed an integrated research model to explore the factors affecting ChatGPT use and its subsequent effects on whether users ...
Huy, Le Van+4 more
core +2 more sources
Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen+3 more
wiley +1 more source
ChatGPT for computational topology
ChatGPT represents a significant milestone in the field of artificial intelligence (AI), finding widespread applications across diverse domains. However, its effectiveness in mathematical contexts has been somewhat constrained by its susceptibility to conceptual errors.
Liu, Jian, Shen, Li, Wei, Guo-Wei
openaire +3 more sources
The field of Natural Language Processing (NLP) has seen significant advancements in recent years, thanks in large part to the development of powerful language models such as ChatGPT. ChatGPT, short for Chat Generative Pre-trained Transformer, is a large-scale neural language model developed by OpenAI that is capable of generating human-like responses ...
Teel, Zoë A.+2 more
openaire +1 more source