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Microsoft Research unveils Magnetar system for proof based general purpose computing

Microsoft Research has announced Magnetar, a zero-knowledge proof framework designed to verify standard programming workloads without exposing underlying sensitive data.

FTMQ SI, written by our newsroom0 views

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Picture: Microsoft Research

Microsoft Research reported that it has developed Magnetar, a system that enables zero-knowledge proofs for general-purpose computing. The framework allows users to verify computing outputs without re-executing workloads or exposing sensitive data. Microsoft Research stated that the system supports standard programming languages, provides computational speed increases, and offers quantum-resistant security. [1]

According to Microsoft Research, current verification relies on trusting operators, vendors, counterparties, or agents through contracts, audits, and logs. Magnetar aims to replace these trust requirements by generating cryptographic proofs alongside computational results. The system addresses the fundamental question of whether a program executed as claimed and generated correct outputs. [1]

Cryptographic proofs of computational effort originated in 1993 when Moni Naor and Cynthia Dwork proposed proof of work to prevent denial-of-service attacks and email spam. Adam Back later expanded on their research in 1997 to formally describe the Hashcash system. [2]

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In short

  • Microsoft Research introduced Magnetar for zero-knowledge general-purpose computing.
  • Magnetar supports standard programming languages and provides quantum-resistant security.
  • The system verifies computing results without re-running workloads or exposing underlying data.

Sources

Every paragraph above points to the numbered items it rests on. Read the originals here.

  1. [1]Proof-based general-purpose computing with MagnetarMicrosoft Research, 10h ago (the report this story comes from)

Background

  1. [2]Proof of work on Wikipedia
  2. [3]Computational astrophysics on Wikipedia
  3. [4]Magnetar on Grokipedia

Our newsroom writes these reports with the help of software, from the 4 sources listed and nothing else, and checks them against those sources. Facts can still be wrong or move on; the originals are the record. Spotted a mistake? Write to daniel@monsterkong.com.

Earlier reports of ours on the same people and subjects.

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