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Analog optical computer for AI inference and combinatorial optimization

Experimental set-up The key components of our experimental set-up are shown in Fig. 1a and Extended Data Fig. 1. Optical subsystem The optical subsystem performs matrix–vector multiplication. The basic components are the optical sources (input vector), a system of fan-out optics to project the light onto the modulator matrix and a system of fan-in optics to project the light onto a photodetector array (output vector). The corresponding schematic is shown in Extended Data Fig. 2. The incohere

Everything is correlated (2014–23)

“Why summaries of research on psychological theories are often uninterpretable”, Meehl (also discussed in Cohen’s paper “The Earth is Round (p < 0.05)”): Problem 6. Crud factor: In the social sciences and arguably in the biological sciences, “everything correlates to some extent with everything else.” This truism, which I have found no competent psychologist disputes given 5 minutes reflection, does not apply to pure experimental studies in which attributes that the subjects bring with them are

Everything Is Correlated

“Why summaries of research on psychological theories are often uninterpretable”, Meehl (also discussed in Cohen’s paper “The Earth is Round (p < 0.05)”): Problem 6. Crud factor: In the social sciences and arguably in the biological sciences, “everything correlates to some extent with everything else.” This truism, which I have found no competent psychologist disputes given 5 minutes reflection, does not apply to pure experimental studies in which attributes that the subjects bring with them are

Multi-Stage Programming with Splice Variables

Multi-Stage Programming with Splice Variables This is an interactive demonstration of the ICFP 2025 paper Multi-Stage Programming with Splice Variables by Tsung-Ju Chiang and Ningning Xie. What is multi-stage programming? It's a technique where programs generate other programs. Instead of writing generic code that handles all cases at runtime, you generate specialized, optimized code tailored to specific situations. For example, instead of a power function that uses a loop, you could generate