
Comprehensive exploration of digital circuits, from basic logic to advanced systems. Covers combinational and sequential circuits, arithmetic operations, state machines, and programmable logic devices.

Digital systems represent and manipulate digital signals. Such signals represent only finite number of discreet values. A signal can be discreet by nature whereas, a continuous signal can be discretized for digital processing and then converted back.

Comprehensive exploration of digital circuits, covering number systems, Boolean algebra, logic gates, arithmetic circuits, sequential circuits, finite state machines, data converters, memory, FPGA, VHDL, and microprocessors.

Explores bounding partially identifiable queries in causal models using knowledge compilation, offering computational advantages for inference in Bayesian networks with shared structures.

Explorez les algorithmes de décomposition tensorielle et leur lien avec les circuits arithmétiques, en examinant les cas moyens et les pires scénarios pour les tenseurs de faible rang.

Delve into advanced algebraic complexity theory and its applications in unsupervised learning algorithms, exploring computational hardness of multivariate polynomials and efficient learning techniques.

Explore tractable learning in structured probability spaces, focusing on logical circuits, probabilistic inference, and learning algorithms for complex datasets with constraints.

Explore efficient zero-knowledge arguments for arithmetic circuits, their applications, and novel approaches to MPC-in-the-head protocols, with a focus on improving performance and reducing communication costs.

Explore verifiable computation on encrypted data, covering homomorphic encryption, SNARKs, and polynomial commitments for secure and private delegation of computation.

Explore homomorphic encryption in SPDZ protocol for secure multi-party computation, covering threshold encryption, distributed decryption, and zero-knowledge proofs for improved security and efficiency.

Explores innovative techniques for garbling arithmetic circuits, improving efficiency, modularity, and functionality. Presents constant-rate schemes for large integers and modular computation, with enhanced capabilities for mixed arithmetic-Boolean opera…

Explore line-point zero knowledge proofs, their efficiency in arithmetic circuit satisfiability, and applications in non-interactive secure computation and vector oblivious linear evaluation.

Explores techniques for proving size lower bounds on tractable arithmetic circuits, focusing on structural restrictions and their impact on circuit complexity in probabilistic reasoning.

Discover a novel technique for detecting vulnerabilities in zero-knowledge proof circuits, combining SMT solving with uniqueness inference to enhance security in blockchain applications.

Explore fast, scalable zero-knowledge proofs for Boolean and arithmetic circuits, covering applications, existing systems, tradeoffs, and innovative protocols like SVLE and Cotton Bucketing.

Explores innovative encoding techniques for predicates using arithmetic circuits, discussing their potential applications and implications for cryptographic systems.

Explore cutting-edge cryptographic techniques for zero-knowledge proofs in arithmetic circuits, focusing on sub-linear lattice-based approaches presented at Crypto 2018.

Learn about ripple carry adders, including their design, delay analysis, and area considerations in digital circuit implementation.

Explore the carry select adder, a fast addition technique, and understand its principles and implementation in digital circuit design.

Explore zero knowledge proofs and implement a zkRollup system in Circom. Learn SNARK technology, Circom programming, and integrate with Hyperledger Besu or Fabric for blockchain applications.

Explore probabilistic circuits with Antonio Vergari, covering foundational concepts and advanced applications in AI and machine learning.