<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Hyperdimensional Computing Labs</title><description>A practical introduction to hyperdimensional computing, with applied research and engineering around associative search, connected data, and online learning.</description><link>https://hyperdimensionalcomputing.ai/</link><item><title>Testing the limits of bundling capacity (2)</title><link>https://hyperdimensionalcomputing.ai/blog/testing-the-limits-of-bundling-capacity-2/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/testing-the-limits-of-bundling-capacity-2/</guid><description>How many records fit in a 2,048-dimensional hyperspace before unrelated records start to look alike? Our experiments suggest that the answer depends on how many comparisons we make.</description><pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Reviewing TrainableHD: What changes when the encoder learns?</title><link>https://hyperdimensionalcomputing.ai/blog/trainablehd-review/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/trainablehd-review/</guid><description>How TrainableHD learns its encoder as well as its classes. We follow a mistake through training, work through an incident example, and examine the costs of deployment.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Testing the limits of bundling capacity (1)</title><link>https://hyperdimensionalcomputing.ai/blog/testing-the-limits-of-bundling-capacity-1/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/testing-the-limits-of-bundling-capacity-1/</guid><description>What happens as we pack more and more facts into a bundle? We study the limits of bundling capacity with a 50-item questionnaire.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate></item><item><title>What do cleanup and crosstalk mean in HDC?</title><link>https://hyperdimensionalcomputing.ai/blog/what-do-cleanup-and-crosstalk-mean-in-hdc/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/what-do-cleanup-and-crosstalk-mean-in-hdc/</guid><description>A look back at how the HDC literature describes the terms &quot;cleanup&quot; and &quot;crosstalk&quot;, and how we can view both terms through a modern lens using vector search in LanceDB.</description><pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Durable memory, transient prototypes</title><link>https://hyperdimensionalcomputing.ai/blog/durable-memory-transient-prototypes/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/durable-memory-transient-prototypes/</guid><description>An HDC experiment that separates stored examples from temporary class summaries, and compares rebuilding with caching.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate></item><item><title>How HDC connects predictions to clinical evidence</title><link>https://hyperdimensionalcomputing.ai/whats-possible/show-me-why-this-case-matched/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/whats-possible/show-me-why-this-case-matched/</guid><description>Explore how HDC combines medical imaging and clinical language to classify retinal disease and support review of AI predictions.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Find the case that fits now</title><link>https://hyperdimensionalcomputing.ai/whats-possible/find-the-case-that-fits-now/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/whats-possible/find-the-case-that-fits-now/</guid><description>The most similar past incident may not be the most useful. What if search could take today&apos;s equipment, conditions, and resources into account?</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate></item><item><title>How context can change a retrieval ranking</title><link>https://hyperdimensionalcomputing.ai/blog/context-sensitive-retrieval/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/context-sensitive-retrieval/</guid><description>Why shared bipolar binding preserves a ranking, how weighted similarity can change it, and what remains to be tested for useful retrieval.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Semantic compression inside wide hypervectors</title><link>https://hyperdimensionalcomputing.ai/blog/semantic-compression-wide-hypervectors/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/semantic-compression-wide-hypervectors/</guid><description>How a compact abstraction can use thousands of coordinates, and what the extra width buys an HDC system.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Turn graph data into hypervectors for associative search</title><link>https://hyperdimensionalcomputing.ai/blog/from-a-property-graph-to-associative-search/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/from-a-property-graph-to-associative-search/</guid><description>Learn how to encode node properties and edge direction with HDC, compose a partial query, and resolve similarity matches back to exact graph records.</description><pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Your data is connected. Can you find a pattern like this one?</title><link>https://hyperdimensionalcomputing.ai/whats-possible/your-data-is-connected/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/whats-possible/your-data-is-connected/</guid><description>A delayed sales order shows how searching connected patterns could help teams find useful past cases, then check the facts in a graph.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>When AI remembers what happened after the answer</title><link>https://hyperdimensionalcomputing.ai/whats-possible/when-ai-remembers-what-happened/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/whats-possible/when-ai-remembers-what-happened/</guid><description>A warehouse robot&apos;s detour shows how connected evidence and HDC memory could help AI reuse experience while checking what is valid now.</description><pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What can we recover from a bundled hypervector?</title><link>https://hyperdimensionalcomputing.ai/blog/what-can-we-recover-from-a-bundled-hypervector/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/what-can-we-recover-from-a-bundled-hypervector/</guid><description>Five MAP experiments explore how bundled hypervectors support semantic retrieval, explainable scores, query preferences, and removal of known facts.</description><pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate></item><item><title>A category is something a system does</title><link>https://hyperdimensionalcomputing.ai/blog/a-category-is-something-a-system-does/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/a-category-is-something-a-system-does/</guid><description>What a new neuroscience framework proposes about context, compression, and action, and how HDC could turn those ideas into a computational architecture.</description><pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Does HDC fit the physics of light? Reviewing PhotoHDC</title><link>https://hyperdimensionalcomputing.ai/blog/photohdc-review/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/photohdc-review/</guid><description>A critical review of PhotoHDC&apos;s modeled electro-photonic accelerator, what its evidence supports, and how OLIX and recent optical HDC work sharpen the deployment question.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Do HRR and MAP preserve the same similarity structure?</title><link>https://hyperdimensionalcomputing.ai/blog/hrr-map-similarity/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/hrr-map-similarity/</guid><description>A reproducible experiment that tests whether HRR and MAP preserve the same similarity structure in a shared encoder.</description><pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The (not so surprising) similarities between HDC algebras</title><link>https://hyperdimensionalcomputing.ai/blog/similarities-between-hdc-algebras/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/similarities-between-hdc-algebras/</guid><description>How HRR, BSC, and MAP implement the same broad VSA computation shape despite using different hyperspaces and mathematical operations.</description><pubDate>Sun, 30 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Can a compiler spend HDC&apos;s accuracy budget? Reviewing ApproxHDC</title><link>https://hyperdimensionalcomputing.ai/blog/approxhdc/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/approxhdc/</guid><description>How ApproxHDC searches application, compiler, and simulated-hardware choices to trade HDC task quality for speed and energy efficiency, and what the reported evidence establishes.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Why connected data needs associative search</title><link>https://hyperdimensionalcomputing.ai/blog/why-connected-data-needs-associative-search/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/why-connected-data-needs-associative-search/</guid><description>Graph search follows exact relationships, while associative search finds similar situations from incomplete examples.</description><pubDate>Tue, 25 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Can hypervectors learn the hardware they run on?</title><link>https://hyperdimensionalcomputing.ai/blog/hardware-aware-hdc/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/hardware-aware-hdc/</guid><description>How learnable HDC encoders can adapt similarity geometry to modeled compute-in-memory nonlinearities, and what the current evidence establishes.</description><pubDate>Sun, 23 Aug 2026 00:00:00 GMT</pubDate></item><item><title>How HDC complements deep learning</title><link>https://hyperdimensionalcomputing.ai/blog/how-hdc-complements-deep-learning/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/how-hdc-complements-deep-learning/</guid><description>Why the future of AI may be hybrid: deep learning learns powerful representations, while HDC complements it with compositional operations, associative memory, and lightweight adaptation.</description><pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate></item><item><title>What does an HDC graph encoder remember? Reviewing GraphHD-Order</title><link>https://hyperdimensionalcomputing.ai/blog/graphhd-order/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/graphhd-order/</guid><description>A close look at what GraphHD and GraphHD-Order preserve, what the reported results establish, and what the released implementation leaves unresolved.</description><pubDate>Wed, 19 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Where does meaning in a hypervector come from?</title><link>https://hyperdimensionalcomputing.ai/blog/where-does-meaning-in-a-hypervector-come-from/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/where-does-meaning-in-a-hypervector-come-from/</guid><description>How projecting learned representations brings useful notions of similarity into hypervector space.</description><pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Why permutation matters in HDC</title><link>https://hyperdimensionalcomputing.ai/blog/permutation-in-hdc/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/permutation-in-hdc/</guid><description>An introduction to the role of permutation in hyperdimensional computing and how it preserves structural information in ways that multiplicative binding cannot.</description><pubDate>Sun, 16 Aug 2026 00:00:00 GMT</pubDate></item><item><title>A brief history of vector symbolic architectures</title><link>https://hyperdimensionalcomputing.ai/blog/a-brief-history-of-vsa/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/a-brief-history-of-vsa/</guid><description>How the problem of representing structured knowledge in distributed systems gave rise to the family now known as HDC and VSA.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The Holographic Nature of Hypervectors</title><link>https://hyperdimensionalcomputing.ai/blog/holographic-hypervectors/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/holographic-hypervectors/</guid><description>How Hyperdimensional Computing distributes information across an entire hypervector, helping representations degrade gradually under noise.</description><pubDate>Mon, 10 Aug 2026 00:00:00 GMT</pubDate></item><item><title>What is a Hypervector?</title><link>https://hyperdimensionalcomputing.ai/blog/what-are-hypervectors/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/what-are-hypervectors/</guid><description>A closer look at the high-dimensional, distributed mathematical objects that give hyperdimensional computing its unusual geometry.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Introduction to Hyperdimensional Computing</title><link>https://hyperdimensionalcomputing.ai/blog/hdc-intro/</link><guid isPermaLink="true">https://hyperdimensionalcomputing.ai/blog/hdc-intro/</guid><description>A gentle introduction to how hyperdimensional computing represents, combines, and retrieves information using high-dimensional hypervectors.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate></item></channel></rss>