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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 represents the start of a whole journey in FHE hardware, similar to the first microprocessor

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

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

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

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

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

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

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

    60% confidence
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AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
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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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Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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