Results 121 to 130 of about 9,927,621 (237)

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

D8 All Things Digital

open access: yes, 2010
Mark Zuckerberg is interviewed during the D8: All Things Digital Conference in 2010https://epublications.marquette.edu/zuckerberg_files_videos/1029/thumbnail ...
D8 All Things Digital
core  

Tacit learning in an extended interior design studio [PDF]

open access: yes
5th DRS Learn X Design International Conference for Design Education Researchers: Insider Knowledge, 9-12 July 2019, METU, Ankara202403 bckwVersion of RecordSelf ...
Venkatesh, A, Ma, H
core   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Enhancing disease clustering through symptom-based analysis and large language model interpretations

open access: yesScientific Reports
Humans face various diseases that are mainly caused by environmental conditions and living habits. These diseases exhibit several symptoms and can share a relationship based on their symptoms.
Efe Onojete   +4 more
doaj   +1 more source

Lincoln's almost Chosen People

open access: yes, 2021
ArticleSpeaking at the 2020 Erasmus Lecture for First Things, Rabbi Dr. Meir Soloveichik discussed the covenantal nature of America's founding and, in the words of Lincoln, its "almost chosen people ...
Soloveichik, Meir
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Ten Different Things

open access: yes, 2018
Ten Different Things invited artists to create new works in the spirit of free inquiry at the intersection of public art, community engagement, and civic process.

core  

Molecularly Engineered Wing‐Shaped Azobenzene Memristors for Logic‐in‐Memory and Edge Visual Intelligence

open access: yesAdvanced Science, EarlyView.
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy