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Context and average best linear mappings [D]

AI·The Reddit post explores how the context-aware viewpoint of neural networks leads to a simplified view of layers as average best linear mappings.

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

AI·Large-Language-Models-as-a-Judge enable theory-agnostic adaptive metric-alignment for prototypical networks in personality recognition.

How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism

AI·The paper enriches Roy Harris's Integrationism theory with Barenholtz's Autogenerative Theory to address gaps in computational language approaches.

The power of collaboration: How we can reduce traffic congestion

Algorithms & Theory

How an astrophysicist uses Codex to help simulate black holes

Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.

Optimizing cloud economics with linear elastic caching

Algorithms & Theory

New framework for auditing machine unlearning

Algorithms & Theory

Building better AI benchmarks: How many raters are enough?

Algorithms & Theory

Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly

Algorithms & Theory

TurboQuant: Redefining AI efficiency with extreme compression

Algorithms & Theory

Mapping the modern world: How S2Vec learns the language of our cities

Algorithms & Theory