A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue | Paper Citation Record

Observation 193eaf59-d23e-4b5f-bf24-700bf3331e8f · outbound

This paper cites Human detection from unmanned aerial vehicles’ images for search and rescue missions: a state-of-the-art review,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Human detection from unmanned aerial vehicles’ images for search and rescue missions: a state-of-the-art review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.710518Z

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Observation a4fc02c3-d7da-4aa1-b4fd-ca122d7ecdda · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unmanned aerial vehicles for search and rescue: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.755139Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1173e3d7-fe0e-4b42-b63a-4ccd7a571ee4 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Deep reinforcement learning for time-critical wilderness search and rescue using drones,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.753337Z

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Observation 86a9eaa5-0063-4c2f-b3ab-10417c417e7f · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Automatic person detection in search and operations using deep cnn detectors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.760716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6fad7aaa-f5aa-4af9-ae71-5e5395d2fc8f · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ai-enhanced uav clusters for search and rescue in natural disasters,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.774587Z

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Observation a6814058-1742-45e7-973d-98ea4a717b63 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Explainable deep learn- ing: A field guide for the uninitiated,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.734639Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b39a8de-abdd-468c-a788-435ba918c171 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.782491Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81c9ab08-b4f3-4a8b-99d5-ebb52ed10fd1 · outbound

This paper cites Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring infer- ence uncertainty using bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring infer- ence uncertainty using bayesian neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.802582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee12d23d-25b0-435f-8f89-89b8f81377ec · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Achieving software- equivalent accuracy for hyperdimensional computing with ferroelectric- based in-memory computing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.762476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52fed430-85a8-4283-8ea0-edbbe5e9aa5d · outbound

This paper cites A comprehensive model for ferroelectric fet capturing the key behaviors: Scalability, variation, stochasticity, and accumulation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A comprehensive model for ferroelectric fet capturing the key behaviors: Scalability, variation, stochasticity, and accumulation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.794441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40d9422e-de66-4f7c-996a-f8c4b47986f4 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Application- driven design exploration for dense ferroelectric embedded non-volatile memories,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.790278Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 023ccdf2-49fc-451c-a1a6-678325855102 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue 15.3 a 65nm uncertainty-quantifiable ventricular arrhythmia detection engine with 1.75uj per inference,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.788291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eca99e32-c59b-4f8c-8ccf-46f0397a7a25 · outbound

This paper cites Bayesian neural networks: An introduction and survey,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bayesian neural networks: An introduction and survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.792348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4bed11a-8481-4625-81c5-df0aba84d581 · outbound

This paper cites Stochastic variational inference,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Stochastic variational inference,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.796181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5989020-eb1e-4e40-b6bd-c01e840515f6 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Variational inference: A review for statisticians,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.798151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 59e2ecab-42c2-4f1e-a86d-1b55f5c613d0 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Hands-on bayesian neural networks—a tutorial for deep learning users,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.800007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 623bde5f-7795-464f-b458-b5b5d33e8126 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Enabling uncertainty es- timation in neural networks through weight perturbation for im- proved alzheimer’s disease classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.807179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1eb12838-304e-40fa-9237-656385859acd · outbound

This paper cites A 350-pw implantable ventricular arrhythmia detection engine with bayesian uncertainty quantification in 65-nm cmos,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A 350-pw implantable ventricular arrhythmia detection engine with bayesian uncertainty quantification in 65-nm cmos,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.776551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08c29f0e-8256-4927-a451-ade0b1a6846a · outbound

This paper cites Safety veri- fication of nonlinear systems with bayesian neural network controllers,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Safety veri- fication of nonlinear systems with bayesian neural network controllers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.778521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c44761ef-00ae-41f0-bbf6-f3b22fab3148 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.780352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 75c2e126-728b-44f4-94d9-8c3a8132e8d6 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.786304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 469f1078-09c8-429d-8294-a3119426a40a · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Multiplierless algorithm for multivariate gaussian random number generation in fpgas,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.770381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0d4ef03-cb67-47ca-8b25-8332605dfc89 · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A hardware gaussian noise generator using the wallace method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.772323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccaa0b58-c925-4606-a568-813c2bb6064a · outbound

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Accelerating bayesian neural networks via algorithmic and hardware optimizations,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.766486Z

Source-reported events for the cited work

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Observation 68ef00e7-1946-47dc-975b-49e3f6c0d43d · outbound

This paper cites Bayesian neural networks for identification and classification of radio frequency transmitters using power amplifiers’ nonlinearity signatures,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bayesian neural networks for identification and classification of radio frequency transmitters using power amplifiers’ nonlinearity signatures,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.757874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f3ae5e0-104b-4b0f-9810-dd003bc92dcd · outbound

This paper cites An energy-efficient bayesian neural network accelerator with cim and a time-interleaved hadamard digital grng using 22-nm finfet,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue An energy-efficient bayesian neural network accelerator with cim and a time-interleaved hadamard digital grng using 22-nm finfet,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.764534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 809e7585-f9cd-4204-94fa-4c06aa7c5209 · outbound

This paper cites High-efficient memristor-based bayesian convolutional neu- ral networks for out-of-distribution detection by uncertainty estimation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue High-efficient memristor-based bayesian convolutional neu- ral networks for out-of-distribution detection by uncertainty estimation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.808624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d1e1770-04b9-42aa-9e39-d698051d2c06 · outbound

This paper cites Bringing uncertainty quantification to the extreme-edge with memristor-based bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bringing uncertainty quantification to the extreme-edge with memristor-based bayesian neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.797972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0aad759c-0537-487e-b320-eb263753f8a4 · outbound

This paper cites Exploiting oxide based resistive ram variability for bayesian neural network hardware design,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Exploiting oxide based resistive ram variability for bayesian neural network hardware design,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.752185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9864a6f1-f2a8-4d95-8484-7608baf681f5 · outbound

This paper cites Scalable spintronics-based bayesian neural network for uncertainty estimation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Scalable spintronics-based bayesian neural network for uncertainty estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.753950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbd3a595-2b05-40ce-bd9d-18c0fdda8daf · outbound

This paper cites An algorithm-hardware co-design for bayesian neural network utilizing sot-mram’s inherent stochasticity,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue An algorithm-hardware co-design for bayesian neural network utilizing sot-mram’s inherent stochasticity,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.768457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c3a2d606-5db8-4978-aed0-e1fa8abe7d62 · outbound

This paper cites Towards uncertainty-quantifiable biomedical intelligence: Mixed-signal compute-in-entropy for bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Towards uncertainty-quantifiable biomedical intelligence: Mixed-signal compute-in-entropy for bayesian neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.805003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89590227-668e-4708-b45c-a66e4be21020 · outbound

This paper cites Impact of read operation on the performance of hfo 2-based ferroelectric fets,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Impact of read operation on the performance of hfo 2-based ferroelectric fets,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.729706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 59279ca8-2cbd-48c9-b135-a36494fe39cb · outbound

This paper cites Investigation of read disturb and bipolar read scheme on multilevel rram-based deep learning inference engine,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Investigation of read disturb and bipolar read scheme on multilevel rram-based deep learning inference engine,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.811193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e89f6d48-d4d2-4eff-8790-6fd7f0a3a546 · outbound

This paper cites Fefet multi-bit content-addressable mem- ories for in-memory nearest neighbor search,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Fefet multi-bit content-addressable mem- ories for in-memory nearest neighbor search,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.813262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8fd13d45-5855-440c-819c-87b6edbe3f99 · outbound

This paper cites Amorphous indium oxide channel fefets with write voltage of 0.9 v and endurance 10 12 for refresh-free 1t-1fefet embedded memory,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Amorphous indium oxide channel fefets with write voltage of 0.9 v and endurance 10 12 for refresh-free 1t-1fefet embedded memory,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.718603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b5462a37-b409-49a8-bc34-9c76c3041dde · outbound

This paper cites Variation- resilient fefet-based in-memory computing leveraging probabilistic deep learning,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Variation- resilient fefet-based in-memory computing leveraging probabilistic deep learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.722339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ca42a15-77b3-4d94-989b-8fbabf992018 · outbound

This paper cites A fefet based super-low- power ultra-fast embedded nvm technology for 22nm fdsoi and beyond,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A fefet based super-low- power ultra-fast embedded nvm technology for 22nm fdsoi and beyond,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.779861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d43e70b-1d25-4ad8-af7c-0a08ea997f41 · outbound

This paper cites Critical role of interlayer in hf 0.5 zr 0.5 o 2 ferroelectric fet nonvolatile memory performance,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Critical role of interlayer in hf 0.5 zr 0.5 o 2 ferroelectric fet nonvolatile memory performance,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.800235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f644a3c3-ee06-4fe2-a48d-3daf8cbc30a6 · outbound

This paper cites Understanding the memory window of ferroelectric fet and demonstration of 4.8-v memory window with 20-nm hfo2,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Understanding the memory window of ferroelectric fet and demonstration of 4.8-v memory window with 20-nm hfo2,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.735815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 579578a8-0f3b-43c1-b1f3-10d5e7e10721 · outbound

This paper cites Random number generation based on ferroelectric switching,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Random number generation based on ferroelectric switching,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.777308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2daf9ea9-f198-413b-a4e6-70252c961411 · outbound

This paper cites Switching kinetics in nanoscale hafnium oxide based ferroelectric field-effect transistors,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Switching kinetics in nanoscale hafnium oxide based ferroelectric field-effect transistors,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.770618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03fce801-fee0-46b6-a9e0-6911ad922f05 · outbound

This paper cites Spatial and energetic mapping of traps in fefet during endurance process by advanced trap characterization platform,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Spatial and energetic mapping of traps in fefet during endurance process by advanced trap characterization platform,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.750338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0fcf54b-d1db-4bdb-ab66-3bfb46481b8e · outbound

This paper cites Study of endurance performance of sio 2 interfacial layer scaling through o scavenging in si channel n-fefet with si: Hfo 2 ferroelectric layer,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Study of endurance performance of sio 2 interfacial layer scaling through o scavenging in si channel n-fefet with si: Hfo 2 ferroelectric layer,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.745814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44ad317a-a069-4353-86d7-005bfa4f55b0 · outbound

This paper cites an unresolved cited work.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-07-04T23:30:12.755828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 735f1a4c-cd0e-40e7-a913-4b8809a0c097 · outbound

This paper cites Mismatch characterization of small metal fringe capacitors,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Mismatch characterization of small metal fringe capacitors,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.741723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 079b98bd-df3d-4ea4-8ffd-b2ab1b3cb6d2 · outbound

This paper cites Fecam: A universal compact digital and analog content addressable memory using ferroelectric,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Fecam: A universal compact digital and analog content addressable memory using ferroelectric,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.759891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9e8d503-69df-4b65-a668-b100691a7814 · outbound

This paper cites A 28nm fefet-based content- addressable memory for energy-efficient similarity search and few-shot learning,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A 28nm fefet-based content- addressable memory for energy-efficient similarity search and few-shot learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.766658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51531d4d-b7fe-4806-a4c3-1a0f72fbc1bb · outbound

This paper cites Ferroelectric compute-in-memory annealer for combinatorial optimization problems,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ferroelectric compute-in-memory annealer for combinatorial optimization problems,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.743820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07cc0a1b-3003-4a2d-aeed-ad4a938f7f0d · outbound

This paper cites Drain–erase scheme in ferroelectric field-effect transistor–part i: Device characterization,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Drain–erase scheme in ferroelectric field-effect transistor–part i: Device characterization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.784168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6400fadc-61b2-46e9-8d49-8a0041ee1ede · outbound

This paper cites 14.1 a 22nm 104.5 tops/wµ-nmc-δ-imc heterogeneous stt-mram cim macro for noise- tolerant bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue 14.1 a 22nm 104.5 tops/wµ-nmc-δ-imc heterogeneous stt-mram cim macro for noise- tolerant bayesian neural networks,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.802123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3490b492-6b86-4e43-b115-1ab3bd47ed7a · outbound

This paper cites A circuit compatible accurate compact model for ferroelectric-fets,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A circuit compatible accurate compact model for ferroelectric-fets,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.731594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e9d0c9b-3387-46b8-bcc2-2dbc2387a15a · outbound

This paper cites Adc performance survey 1997-2022,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Adc performance survey 1997-2022,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.793308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c83af63-5a8f-429d-a836-64659fa6e336 · outbound

This paper cites Ultralytics yolo26.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ultralytics yolo26

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.784918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 237a7c17-f08e-4769-9b63-a62f9f8fa042 · outbound

This paper cites Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.725805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3f850bd-87ee-4c9d-9eb2-02ddc74e85d8 · outbound

This paper cites Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.791038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ca1a514-bfac-4f24-a69c-03abe0916668 · outbound

This paper cites an unresolved cited work.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-07-04T23:30:12.795449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1dd3d303-5f90-4691-8612-b5554e089778 · outbound

This paper cites Michael Niemieris currently a Professor at the University of Notre Dame.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Michael Niemieris currently a Professor at the University of Notre Dame

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-04T23:30:12.721585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers