Results 91 to 100 of about 141,010 (122)

Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites. [PDF]

Commun Chem
Hu Z, Wang Z, Peng Y, Gao Z, Jin C, Zhuang Z, Li JF.   +6 more
europepmc   +1 more source

High-resolution, high-throughput analysis of Drosophila geotactic behavior.

J Exp Biol
Canic T, Lopez J, Ortiz-Vega N, Zhai RG, Syed S.   +4 more
europepmc   +1 more source

Programmable Bootstrapping Enables Efficient Homomorphic Inference of Deep Neural Networks [PDF]

Lecture Notes in Computer Science, 2021
In many cases, machine learning and privacy are perceived to be at odds. Privacy concerns are especially relevant when the involved data are sensitive. This paper deals with the privacy-preserving inference of deep neural networks.
Ilaria Chillotti, Marc Joye, Pascal Paillier   +2 more
exaly   +6 more sources

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VLSI Design of Programmable Bootstrapping for Torus Fully Homomorphic Encryption

2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Tsung-Han Tsai, Ming-Der Shieh, Qi-Xian Wu   +2 more
exaly   +2 more sources

PBSAcc: A High-Performance Hardware Accelerator for FHE With Improved Batch Programmable Bootstrapping

IEEE Transactions on Circuits and Systems II: Express Briefs
Chen Yang, Jianfei Wang, Fahong Zhang
exaly   +3 more sources

A 16Kb Antifuse One-Time-Programmable Memory in 5nm High-K Metal-Gate Fin-FET CMOS Featuring Bootstrap High Voltage Scheme, Read Endpoint Detection and Pseudo-Differential Sensing

2021 Symposium on VLSI Circuits, 2021
A 16Kb one-time-programmable (OTP) antifuse memory is fabricated in a 5nm high-K, metal-gate FinFET CMOS for the first time. The bootstrap high voltage scheme (BHVS), read endpoint detection (REPD) and pseudo-differential sensing (PDS) are implemented to achieve intrinsic bit error rate (BER) below 1ppb for in-field programming in 5nm SoC and 10 years ...
Shaun Chou, Gu-Huan Li, Shawn Chen, Jun-Hao Chang, Wan-Hsueh Cheng, Shao-Ding Wu, Philex Fan, Chia-En Huang, Yu-Der Chih, Yih Wang, Jonathan Chang   +10 more
openaire   +2 more sources

Meta-PBS: Compact High-Precision Programmable Bootstrapping. [PDF]

IACR Cryptol. ePrint Arch.
Currently, most FHE schemes realize bootstrapping through the linear-decrypt-then-round paradigm. For the programmable bootstrapping (PBS) of TFHE, this means the lookup table (LUT) needs a redundancy of $O(\sqrt{N})$ to be able to remove the modulus ...
Shihe Ma, Tairong Huang, Anyu Wang, Changtong Xu, Tao Wei, Xiaoyun Wang   +5 more
core   +3 more sources

Broken Bootstraps---The Rise and Fall of a Research Programme

Foundations of Physics, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Designing algorithms and bootstrap programme in R

AIP Conference Proceedings, 2015
Resampling methods offer strategies to estimate the sampling distribution of a statistic. In this article, the problem involving the use of Bootstrap Method for estimating linear regression parameters have been indentified. We developed resampling Bootstrap algorithms for estimation of linear regression parameters.
openaire   +1 more source

Helping Novice Programmers to Bootstrap in the Cloud: Incorporating Support for Computational Thinking into the Game Design Process

2012 IEEE 12th International Conference on Advanced Learning Technologies, 2012
Game design environments are traditionally used as means for engaging non-programmers in the learning process. However, these environments lack specific support for teaching computational thinking to novices. Typically, such skills are acquired in ad hoc practical sessions with supervision provided by teachers or peers.
Navid Ahmadi, Mehdi Jazayeri, Monica Landoni   +2 more
openaire   +2 more sources