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Overview We will implement dot product of two vectors of size N using Zero Knowledge Proofs (ZKP) in Circom, Halo2, . According to k12.libretexts.org, the dot product of two vectors A and B of size N is given by: A.B = a1*b1 + a2*b2 + ... + aN*bN Overview Process Flow of a Zero Knowledge Proof Circom Circuit for Dotproduct of Two Vect...

Overview The paper aimed to improve the prediction of adverse cardiac events in patients with hypertrophic cardiomyopathy (HCM) using machine learning methods. The study found that machine learning models demonstrated a superior ability to predict adverse cardiac events compared to conventional risk stratification. The authors suggest that thes...

Overview The paper presents a machine learning approach for classification of hypertrophic cardiomyopathy phenotypes using native T1 mapping radiomics. Citation of the Paper Antonopoulos, A.S., Boutsikou, M., Simantiris, S. et al. Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes. Sci...

Overview Zero knowledge proofs (ZKP) are cryptographic protocols that enable one party (the prover) to prove to another party (the verifier) the truth of a statement without revealing any additional information beyond the statement’s validity. ZKPs are incredibly useful in scenarios where confidentiality is paramount, such as digital identity v...

Overview Zero-knowledge proofs (ZKPs) are a groundbreaking concept in cryptography that allows one party to prove to another that a statement is true, without revealing any specific information about the statement itself. This technique is particularly useful in preserving privacy and security in various applications, such as authentication, se...

Introduction A. Definition of Zero Knowledge Proofs (ZKPs) B. Overview of the Benefits of Using ZKPs How ZKPs Work A. Overview of the ZKP Process B. Explanation of the Three Stages of the ZKP Process Applications of ZKPs A. Cryptocurrency Transactions B. Identity Management ...

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