Results 41 to 50 of about 115,019,574 (294)

COSMO: Computing with Stochastic Numbers in Memory

, 2022
Stochastic computing (SC) reduces the complexity of computation by representing numbers with long streams of independent bits. However, increasing performance in SC comes with either an increase in area or a loss in accuracy.
Rosing, Tajana Simunic, Wu, Fan, Huang, Andrew, Imani, Mohsen, Gupta, Saransh, Kim, Yeseong, Kang, Jaeyoung, Sim, Joonseop   +7 more
core   +1 more source

Accelerated Data‐Driven Discovery of Dual‐Functional Ionic Liquid Passivation for FAPbI3 Perovskite Solar Cells Using Graph Neural Network

EcoMat
Achieving efficient and stable formamidinium lead iodide (FAPbI3) perovskite solar cells (PSCs) requires integrated control of crystallization kinetics and defect suppression.
Jiazheng Wang, Qiang Lou, Qingqing Zhang, Haibiao Chen, Zhengjie Xu, Hongye Liu, Hao Zhang, Xinxin Xu, Guibo Luo, Yen‐Hung Lin, Gehan Amaratunga, Hang Zhou   +11 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing

Nature Communications
Neuromorphic systems offer energy-efficient solutions for temporal signal processing by emulating the dynamics and heterogeneity of biological neural circuits. However, conventional approaches face challenges in adaptive regulation and in capturing multi-
Licheng Zhang, Teng Zhang, Pek Jun Tiw, Xulei Wu, Yuqi Su, Yuchao Yang   +5 more
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Approximate Memristive In-memory Computing

, 2017
The bottleneck between the processing elements and memory is the biggest issue contributing to the scalability problem in computing. In-memory computation is an alternative approach that combines memory and processor in the same location, and eliminates ...
Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi   +2 more
core   +1 more source

Organic-inorganic hybrid piezotronic bipolar junction transistor for pressure sensing

Microsystems & Nanoengineering
With the rapid development of the Internet of Things (IoTs), wearable sensors are playing an increasingly important role in daily monitoring of personal health and wellness.
Emad Iranmanesh, Zihao Liang, Weiwei Li, Congwei Liao, Shunyu Jin, Chuan Liu, Kai Wang, Shengdong Zhang, Charalampos Doumanidis, Gehan A. J. Amaratunga, Hang Zhou   +10 more
doaj   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory

Neuromorphic Computing and Engineering
The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. To overcome the von Neumann bottleneck, compact and light-weight logic-in-
Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay   +2 more
doaj   +1 more source

Sub-femto-Joule energy consumption memory device based on van der Waals heterostructure for in-memory computing

Chip, 2022
In-memory computing has carried out calculations in situ within each memory unit and its main power consumption comes from data writing and erasing. Further improvements in the energy efficiency of in-memory computing require memory devices with sub ...
Zi-Jia Su, Zi-Hao Xuan, Jing Liu, Yi Kang, Chun-Sen Liu, Cheng-Jie Zuo   +5 more
doaj   +1 more source