Results 171 to 180 of about 120,811,929 (257)

Achieving high precision in analog in-memory computing systems. [PDF]

Npj Unconv Comput
Mannocci P, Larelli G, Bonomi M, Ielmini D.   +3 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Accelerating hybrid XOR-CNF Boolean satisfiability problems natively with in-memory computing. [PDF]

Nat Commun
Im H, Böhm F, Pedretti G, Kushida N, Noori M, Valiante E, Zhang X, Yang CW, Bhattacharya T, Sheng X, Ignowski J, Heittmann A, Strachan JP, Mohseni M, Beausoleil R, Vaerenbergh TV, Rozada I.   +16 more
europepmc   +1 more source

Toward memristive in-memory computing: principles and applications. [PDF]

Front Optoelectron, 2022
Bao H, Zhou H, Li J, Pei H, Tian J, Yang L, Ren S, Tong S, Li Y, He Y, Chen J, Cai Y, Wu H, Liu Q, Wan Q, Miao X.   +15 more
europepmc   +1 more source

Dynamically Actuated Reconfigurable Topographical Surface Enables Active Control of Implant‐Associated Infections

Advanced Functional Materials, EarlyView.
A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash, Jihun Lee, J. Scott VanEpps, Sungmin Nam, Jouha Min   +4 more
wiley   +1 more source

Harnessing the full potential of RRAMs through scalable and distributed in-memory computing with integrated error correction. [PDF]

Commun Eng
Vo HQN, Chowdhury MTR, Ramanan P, Yildirim M, Tutuncuoglu G.   +4 more
europepmc   +1 more source

High-Performance On-Chip Racetrack Resonator Based on GSST-Slot for In-Memory Computing. [PDF]

Nanomaterials (Basel), 2023
Zhu H, Lu Y, Cai L.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Memory-Centric Computing: Recent Advances in Processing-in-DRAM

Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by 1 ...
Yuksel, Ismail Emir, Mutlu, Onur, Oliveira, Geraldo F., Olgun, Ataberk   +3 more
core  

Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]

Research (Wash D C)
Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc   +1 more source