Results 101 to 110 of about 156,230 (307)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives

, 2022
Smart healthcare systems are gaining popularity with the rapid development of intelligent sensors, the Internet of Things (IoT) applications and services, and wireless communications.
Jadidi, Z, Pal, S, Selvakkumar, A
core   +1 more source

Learning to Pivot as a Smart Expert

Proceedings of the AAAI Conference on Artificial Intelligence
Linear programming has been practically solved mainly by simplex and interior point methods. Compared with the weakly polynomial complexity obtained by the interior point methods, the existence of strongly polynomial bounds for the length of the pivot path generated by the simplex methods remains a mystery.
Tianhao Liu, Shanwen Pu, Dongdong Ge, Yinyu Ye 0001   +3 more
openaire   +2 more sources

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Artificial intelligence-based fault classification on photovoltaic plants using a low-cost open-source IoT system

Scientific Reports
Central inverters are widely used in large photovoltaic systems, but struggle with inefficiency and large energy losses with direct current (DC). To solve these problems, Artificial Intelligence (AI) and the Internet of Things (IoT) offer alternative ...
Wattanasak Srisiri, Ngoc Thien Le, Muhammad Asim Saleem, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul   +5 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Quality Management System in Shaping Students’ Pro-Quality Attitude in the Era of Industry 4.0

Applied Sciences
The significance of the quality issue in Industry 4.0 increases due to the dynamically changing economy. Not only selected workers who form the quality department must be aware of this fact, but each member of the staff must be as well.
Bartosz Spychalski
doaj   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Investigating Learners’ Technology Engagement - A Perspective From Ubiquitous Game-Based Learning in Smart Campus

IEEE Access, 2018
With the increasing development of information technology and emerging of modern mobile devices, researchers have been shedding light on the integration of ubiquitous learning and online games in the construction of smart campus, aiming to enhance the ...
Xuesong Zhai, Yan Dong, Jing Yuan
doaj   +1 more source

Smart Neighbourhood Learning – the case of MyNeighbourhood

Interaction Design and Architecture(s), 2015
Smart Cities have often been associated with an extensive ICT infrastructure supporting citizens to learn. A Human Smart City focuses on its citizens and the human infrastructure they create being key actors of city making processes with a special attention on service design, development and delivery.
Petersen, Sobah Abbas, CONCILIO, GRAZIA, Oliveira, Manuel   +2 more
openaire   +4 more sources