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Intel Demos Chip to Compute With Encrypted Data

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: Intel Demos Chip to Compute With Encrypted Data Date: 2026-03-10 13:00 Source: https://spectrum.ieee.org/fhe-intel <img src="https://spectrum.ieee.org/media-library/overhead-view-of-intel-s-computing-chip-called-heracles.jpg?id=65174073&width=1200&height=800&coordinates=156%2C0%2C156%2C…
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  • Heracles achieves about the level of speedup expected from an all-digital FHE system

    60% confidence
  • Optalysys is looking at pushing way past the digital limit for FHE acceleration using photonics

    60% confidence
  • A full 3D-stacked commercial photonic FHE chip could be ready in two or three years

    60% confidence
  • Heracles is the first hardware that works at scale for FHE computing

    60% confidence
  • Niobium's chip will be the world's first commercially viable FHE accelerator designed for real-world cloud and AI infrastructure

    60% confidence
  • Specialized hardware for FHE is needed for emerging applications around deeper machine learning operations like neural nets, LLMs, or semantic search

    60% confidence
  • Balancing the movement of data with the crunching of numbers is the key challenge in FHE acceleration

    60% confidence
  • Heracles represents the start of a whole journey in FHE hardware, similar to the first microprocessor

    60% confidence
  • Intel has proven and delivered everything promised for the Heracles chip

    60% confidence
  • At current scale, there is less need for specialized FHE hardware

    60% confidence
  • For FHE, the size of cipher text is orders of magnitude larger than plain text

    60% confidence
  • Intel's work on Heracles is very good and carries weight when talking about scale

    60% confidence
  • Many smaller AI models will run fine on FHE accelerated hardware even with data expansion

    60% confidence
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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