Browse: S

Summary Today in SCIENCE, the top story is "S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic", which gathered 1405 points on Hacker News -- nearly 15x higher than the av

Negative sampling is a key component of implicit collaborative filtering (CF), as it enables recommenders to effectively learn user preferences. Existing negative sampling methods mostly follow a two-

Peer prediction seeks to incentivize agents to truthfully report an observed signal by rewarding joint sets of reports without observing a ground truth. Following the generalization of information-the

Sanctions compliance requires institutions to screen customers, transactions, and counterparties against multiple sanctions lists with overlapping jurisdictions. This module covers sanctions types (comprehensive vs targeted, primary vs secondary, sectoral), major regimes (OFAC, EU, UN, UK OFSI), screening methodology (fuzzy matching, name variations, false positive optimization), the intersection of sanctions with AML, and 2025-2026 trends including the expansion of Russia-related sanctions, secondary sanctions risk for non-US institutions, AI-based screening reducing false positives by 90%, and the growing complexity of sanctions compliance for digital assets.

Sanctions screening checks customer names against government watchlists. Learn about OFAC, EU sanctions regimes, fuzzy matching algorithms, and false positive reduction strategies.

Navigate the complex landscape of sanctions compliance — OFAC SDN lists, screening technologies, and managing false positives.

Master the art of Suspicious Activity Report writing through real-world scenarios — structuring, layering, trade-based ML, and crypto red flags.

Schema management ensures data structures remain compatible across producers and consumers as systems evolve. This module covers schema registries (Confluent, Apicurio, Karapace), serialization formats (Avro, Protobuf, Parquet), compatibility modes (backward, forward, full), migration strategies for data warehouses and streaming pipelines, and 2025-2026 trends including Protobuf overtaking Avro, schema-on-read in lakehouses, and automated schema evolution with tools like Atlas and Sqale.

Schema Registry Patterns: Avro, Protobuf, and JSON Schema in Production Schema registry architectures enable versioned, contract-enforced data serialization across distributed pipelines. This document provides a comprehensive reference for implementing schema evolution with backward, forward, and full compatibility contracts in production data engineering environments. Overview Schema registry architectures with Confluent Schema Registry and Apicurio provide centralized schema management

Why computers need a shared language to cooperate — and how 'the usual place' becomes a written agreement between strangers.

Master the skills of scientific reasoning: evaluating claims, understanding replication crisis, applying Bloom taxonomy to research synthesis, and using practical heuristics for evidence assessment.

Analyze industries and competitive positioning: Porter's Five Forces, types of competitive moats (network effects, switching costs, intangibles, cost advantages, efficient scale), TAM/SAM/SOM market sizing, financial statement analysis by sector, and a case study of the semiconductor industry.

Explore the global semiconductor supply chain in 2026: $975 billion market, AI-driven demand reshaping fab capacity, geopolitical tensions, material scarcity, and strategic sourcing strategies.

William Sharpe's CAPM provides the theory of how assets are priced in equilibrium, showing that expected return is linearly related to systematic risk measured by beta.

Shiller demonstrates that stock prices are 5-13 times more volatile than can be justified by future dividends, providing influential evidence against the efficient market hypothesis.

A Show HN for a local merge queue that coordinates parallel Claude Code agents. Multiple AI agents editing the same repository need serialized integration to avoid conflicting writes; a local merge queue stages, merges, and replays agent outputs so parallelism does not corrupt the working tree. Relevant to teams running concurrent AI coding agents.

Nearly a decade ago, Calude et al. showed that parity games can be solved in quasi-polynomial time. This result is now understood in terms of universal trees. By reduction to parity games, the quasi-p

Soudijn examines trade-based money laundering as one of the most difficult-to-detect channels, exploiting trade complexity through over/under-invoicing and phantom shipments to move value across borders.

What the Source Quality Index measures, how scores are computed, and how to read them when browsing the portal.

SQL is the universal language of data. This beginner module covers essential SQL concepts every data engineer needs: SELECT queries, JOINs, aggregations, CTEs, window functions, and query optimization basics.

Velocity checks, rolling sums, and first/last detection with window functions on a transaction table.

A production-focused guide to running SQLite for low-latency application servers. Covers WAL (write-ahead logging) mode for concurrent readers and a single writer, busy_timeout and checkpoint tuning to keep WAL files bounded, and custom VFS layers that intercept I/O for durability, encryption, or storage-tier routing. Practical reference for teams that push SQLite beyond its embedded default configuration.

SQLMesh's approach to data transformation: physical vs logical plans, virtual data environments, automatic column-level lineage, and backward-incompatible change detection. Comparison with dbt's materialization model.

We study a minimal agent-based market in which a single evolutionary-optimized institutional agent interacts with 20{,}000 herding retail traders. The agent spontaneously discovers a multi-cycle preda

Model Inversion Attacks (MIAs) aim to reconstruct representative training samples of target identities from face recognition models, exposing critical security vulnerabilities. Existing methods typica

A historical analysis of data management systems tracing the cycles from hierarchical to relational to NoSQL to NewSQL, arguing that specialization (one size does not fit all) is the enduring lesson.

Architecture patterns for building real-time AML surveillance data pipelines using Apache Kafka for transaction ingestion, Flink for stream processing, and Iceberg for immutable audit storage — with DataOps quality gates at every stage.

SARs are the primary mechanism for reporting suspicious financial activity. This guide covers when to file, what to include, confidentiality requirements, and common pitfalls for new compliance officers.

What a Suspicious Activity Report really is — a librarian's thoughtful 'hmm, interesting,' not an accusation. Understand the pattern-spotting heart of AML.

Comprehensive Mermaid architecture diagrams including the new Source Framework (registry + 5 fetcher types + health/DLQ), Admin Panel (Flask routes, API, templates), and RSS Ingestion Pipeline — 13 diagrams total.