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

    60% confidence
  • Heracles achieves about the level of speedup expected from an all-digital FHE system

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

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

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

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

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

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

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

    60% confidence
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AI Chip Boom Lifts Semiconductors as Export-Control Gaps Persist
AI infrastructure demand is fueling a broad semiconductor rally — Broadcom's AI chip revenue and Q4 guidance, Amazon's custom silicon crossing a $25B annual run rate, and bullish analyst calls on Micron and Sandisk tied to a memory chip boom underestimated even by bulls — with ASML rallying on sympathy. That momentum runs alongside unresolved US-China tech tensions: Belgium's arrest of a suspect for stealing chip technology for China and a blacklisted Chinese firm still acquiring Nvidia's top AI chips show export-control enforcement lagging the pace of AI chip demand.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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JPMorgan Chase & Co.
Both facts record the same attribute (net_income) for JPMorgan Chase & Co. in the identical fiscal period (Q1 2026) and observation date (2026-03-31), but report values that differ by approximately 1 billion times: $16,494,000,000 vs $16.49. These cannot both be true simultaneously. The discrepancy suggests either a unit mismatch (e.g., one is total net income, the other earnings per share mislabeled as net_income), a decimal point error, or data entry corruption. For the same entity, attribute, and time period, only one value can be correct.
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