Results 31 to 40 of about 140,423 (144)

Deterministic Writing of Field‐Free and Unipolar Spin‐Transfer Torque Magnetic Random‐Access Memory

Advanced Functional Materials, EarlyView.
Deterministic unipolar‐switching STT‐MRAM with field‐free operation is experimentally demonstrated. The device features a compact 4F2 cell architecture using a diode as the access device and a single magnetic tunneling junction. Unlike conventional bipolar switching STT‐MRAM requiring a three‐terminal access transistor in the array, this design offers ...
Ming‐Chun Hong, Ching Shih, Guan‐Long Chen, Yu‐Chen Hsin, Chen‐Yu Yang, Hsin‐Han Lee, Kuan‐Ming Chen, Yu‐Ho Kao, Tsai‐Yu Wu, Chiao‐Yun Lo, Sin‐You Huang, Cheng‐Yi Shih, Shan‐Yi Yang, I‐Jung Wang, Yao‐Jen Chang, Shih‐Ching Chiu, Yi‐Hui Su, Chih‐Yao Wang, Jeng‐Hua Wei, Shyh‐Shyuan Sheu, Wei‐Chung Lo, Shih‐Chieh Chang, Tuo‐Hung Hou   +22 more
wiley   +1 more source

The financial and green effects of cultural values on mission drifts in European social enterprises

Business Strategy and the Environment, Volume 32, Issue 1, Page 1-29, January 2023., 2023
Abstract The sustainable social enterprises (SEs) literature shows that SEs have to simultaneously pursue economic, social, and environmental aims. However, tensions between these objectives can make this a challenging task and lead towards mission drift. This work investigates if the cultural dimension can forecast the mission drift.
Paolo Esposito, Emanuele Doronzo, Spiridione Lucio Dicorato   +2 more
wiley   +1 more source

Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters

SoftwareX, 2022
The application of deep learning models to increasingly complex contexts has led to a rise in the complexity of the models themselves. Due to this, there is an increase in the number of hyper-parameters (HPs) to be set and Hyper-Parameter Optimization ...
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi   +2 more
doaj  

A Separation Logic for Concurrent Randomized Programs [PDF]

Proc. ACM Program. Lang. 3, POPL, Article 64 (January 2019), 2018
We present Polaris, a concurrent separation logic with support for probabilistic reasoning. As part of our logic, we extend the idea of coupling, which underlies recent work on probabilistic relational logics, to the setting of programs with both probabilistic and non-deterministic choice.
arxiv   +1 more source

Optoelectronic Devices for In‐Sensor Computing

Advanced Materials, EarlyView.
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren, Chaoyi Zhu, Sijie Ma, Zhaoqing Wang, Jianmin Yan, Tianqing Wan, Weicheng Yan, Yang Chai   +7 more
wiley   +1 more source

Which institutional investors drive corporate sustainability? A systematic literature review

Business Strategy and the Environment, Volume 32, Issue 1, Page 42-71, January 2023., 2023
Abstract In this article, we review recent archival research (66 studies) on the influence of institutional ownership (IO) heterogeneity on corporate sustainability. Relying on an agency‐theoretical framework, we differentiate between various types of IO and their nature.
Patrick Velte
wiley   +1 more source

Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

Applied Artificial Intelligence
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability theory to achieve clear, rule-based knowledge descriptions ...
Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli   +6 more
doaj   +1 more source

Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

Advanced Materials, EarlyView.
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu, Won Joon Kim, Hyunjin Lee, Xiaoping Bao, Pilnam Kim   +4 more
wiley   +1 more source

Direct design of ground-state probabilistic logic using many-body interactions for probabilistic computing

Scientific Reports
In this work, an innovative design model aimed at enhancing the efficacy of ground-state probabilistic logic with a binary energy landscape (GSPL-BEL) is presented.
Yihan He, Sheng Luo, Chao Fang, Gengchiau Liang   +3 more
doaj   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen, Shicheng Fan, Zheng Qiao, Zixiong Wu, Baobao Lin, Zhijie Li, Michael A. Riegler, Matthew Yu Heng Wong, Arve Opheim, Olga Korostynska, Kaare Magne Nielsen, Thomas Glott, Anne Catrine T. Martinsen, Vibeke H. Telle‐Hansen, Chwee Teck Lim   +14 more
wiley   +1 more source