Quanta Magazine

The AI Revolution in Math Has Arrived

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
IEEE

A Multiplication-Free Neural Spike Detection and Sorting Algorithm using Mitchell Approximate Nonlinear Energy Operator and ShiftNet Neural Network

Abstract: In this paper a multiplication-free real-time neural spike detection and sorting algorithm is designed and implemented. In the proposed algorithm, Mitchell approximate nonlinear energy ...
IEEE

Fama : An FPGA-Oriented Multi-Scalar Multiplication Accelerator Optimized via Algorithm-Hardware Co-Design

Abstract: Multi-scalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof protocols. To address this, we introduce FAMA, an FPGA-oriented MSM accelerator developed ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...