Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
Deep learning, the most important subfield of machine learning and artificial intelligence (AI) over the last decade, is considered one of the fundamental technologies underpinning the Fourth Industrial Revolution. But despite its record-breaking history,
Das, Subhro +6 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Generative AI (Artificial Intelligence): What Is It? & What Are Its Inter- And Transdisciplinary Applications? [PDF]
Journal of Systemics, Cybernetics and InformaticsGenerative AI can generate new contents in many types of outputs: images, videos, text or music. ChatGPT is web application that uses Generative AI. Many industries such as financial, health care, manufacturing, and marketing and sales use Generative AI.
Richard S. Segall
doaj
Automatic recognition of teeth and periodontal bone loss measurement in digital radiographs using deep-learning artificial intelligence. [PDF]
J Dent Sci, 2023 Chen CC +7 more
europepmc +1 more source
Artificial Intelligence and Deep Learning: Considerations for Financial Institutions for Compliance with the Regulatory Burden in the United Kingdom [PDF]
Purpose: Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are having a major impact on Banking (FinTech), Health (HealthTech), Law (RegTech), and other sectors such as Charitable Fundraising (CharityTech).
Singh, C.
core +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm. [PDF]
Insights Imaging, 2023 Chen YS +13 more
europepmc +1 more source
Artificial Intelligence and Deep Learning in Ophthalmology [PDF]
, 2021 Zhaoran Wang +5 more
openaire +1 more source
Inverse Design of Nanoparticulate Materials
Advanced Materials, EarlyView.Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source