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Inside India AI stack: Five layers driving India’s AI for all vision

India is building a population-scale artificial intelligence ecosystem through the India AI Stack, focused on making AI accessible, reliable, and citizen-centric. The stack integrates applications, ...
AlleyWatch

Concourse Raises $12M to Connect AI Agents Directly to Enterprise Financial Stacks

We raised $12M in a Series A round. The round was led by Standard Capital with participation from a16z, CRV, and Y Combinator. We were also lucky to have an incredible group of angel investors join, ...
IEEE

Implementation and Optimization of a Fuzzy Rulebased Classifier for Multi-Class Classification Using Horizontal Federated Learning

Abstract: In this paper, we investigate the practicality of a fuzzy rule-based classifier in horizontal federated learning and conduct optimizations. We perform simulations in order to evaluate the ...
IEEE

Derivation of Certification-Based Admissibility Dashboard of NMPC Implementation Settings: Framework and Associated Python Package

Abstract: This brief presents a framework that delivers a certification-oriented dashboard of admissible nonlinear model predictive control (NMPC) implementation settings. This differs from the ...
GitHub

PrePrompt: Predictive Prompting for Class-Incremental Learning

Figure 1: PrePrompt two-stage framework (left) and feature extrapolation mechanism (right). 🔥 Official PyTorch implementation of PrePrompt, a two-stage predictive prompting framework that enables pre ...
GitHub

A Python 3 headless implementation of the Capella modeling tool

capellambse allows you reading and writing Capella models from Python without Java or the Capella tool on any (reasonable) platform. We wanted to "talk" to Capella models from Python, but without any ...