Reconome

To relocalise effectively we need to map the productive potential of our regions and communities, including resource, material, waste and energy flows and identify threads and opportunities for relocalising production and consumption. How are we dependent on imports and what resources do we have in regional abundance?

Re-regionalization: Bioregional development as a regenerative pathway

############################################

Por Qué Todo El Mundo Se Ha Perdido De La Característica Más importante De Las Criptomonedas

Empieza un nuevo año para rediseñar las experiencias que quieres que tus clientes tengan con tu producto o servicio. Competir en precio o capacidad, no se traduce necesariamente en una ventaja competitiva, tendrás que ofrecer una experiencia deseable, útil y significativa, para lograr que los consumidores sean leales a tu marca.

¡Las tendencias de experiencia de cliente para el 2016!

Palo Alto Networks is the first to publicly acknowledge that Secure Web Gateways are architecturally unable to defend against Last Mile Reassembly attacks. The 

Palo Alto Networks Acknowledges SquareX Research On Limitations Of SWGs Against Last Mile Reassembly

This study discusses the extraction of gender and race data from AI-generated stories, using fine-tuning and advanced model techniques to improve accuracy. 

Fine-Tuning AI Models to Better Recognize Gender and Race in Stories

A review of Face Recognition loss functions, exploring advancements from ArcFace to modern adaptive and prototype-based methods for improved accuracy.

Why AI Needs to Lose (a Little) to Recognize Your Face Better

$SCR will be distributed to Scroll contributors through thoughtfully designed allocations to maximize impact in creating opportunities for a decentralized globa

Scroll Launches $SCR Token To Recognize Global Community Contribution And Decentralize Its Ecosystem

Decentralized Finance platforms are controlled by communities of developers and users. To avoid losing our funds to them, we need to look for the right signs.

5 Signs to Recognize a Legitimate DeFi Crypto Project

It’s almost always possible to distinguish between a legitimate platform from one that it’s not. A lot of obvious red flags are there if we know where to look.

5 Steps to Recognize a Legitimate Centralized Crypto Service

Your wallet can issue numerous addresses, “containing” different things —not only your traditional transactions. Let's find out what they can do.

Educational Byte: What is a Crypto Address and How to Recognize Different Types?

Three startups—Pantry Pilot, RecomendeMe, and Charmpay—featured in HackerNoon Projects of the Week for proving real-world usefulness.

HackerNoon Projects of the Week: Pantry Pilot, RecomendeMe & Charmpay

Explore pipeline design, Kafka/Kinesis decoupling, and the monitoring that prevents “green lights” from lying.

The Recommendation Engine Behind Your Cart: Design, Build, Maintain

RecomendeMe is a human-first platform for discovering films, books, and music—built to counter algorithmic fatigue with trust and context.

RecomendeMe Earns a 56 Proof of Usefulness Score by Building a Human-First Recommendation Platform

New research reveals a 30:1 visibility gap in how ChatGPT discovers products, and why GEO optimization might not be the answer.

The Discovery Gap: Why ChatGPT Knows Your Startup But Won't Recommend It

Discover the 11 best US mobile app development companies enterprises should partner with in 2026 for scalable, secure apps.

11 Best Mobile App Development Companies Recommended For Enterprises in the USA in 2026

How bias hides inside recommendation algorithms—and what new techniques reveal about gendered patterns in user embeddings.

Evaluating Attribute Association Bias in Latent Factor Recommendation Models

Removing gender from AI models doesn’t erase bias. Learn how systematic stereotypes persist in recommendation systems despite feature removal.

Can We Ever Fully Remove Bias from AI Recommendation Systems?

Quantitative case study revealing how gender bias forms in podcast recommendation systems — and what it means for ethical AI.

That Time We Found Gender Bias Hidden in a Podcast Recommendation System

A four-step framework to audit, measure, and flag bias in AI recommendation systems using disaggregated evaluation techniques.

A Practical Framework for Auditing Bias in Recommendation Algorithms

Discover a framework to detect and evaluate representation bias in latent factor recommendation systems using real-world podcast data.

Detecting Hidden Bias in AI Recommendation Systems

Uncover how hidden stereotypes shape AI recommendations and learn how new frameworks can detect and reduce bias in machine learning models.

Quantifying Attribute Association Bias in Latent Factor Recommendation Models

A framework to detect and measure bias in recommendation algorithms, revealing how AI can unintentionally reinforce stereotypes.

Understanding Attribute Association Bias in Recommender Systems

Learn how to build a semantic movie recommendation app using ScyllaDB’s vector search to find films by meaning, not just keywords.

How to Use Vector Search to Build a Movie Recommendation App

Ramakrishnan Sathyavageeswaran revolutionized ML model validation with a backtesting framework that boosts speed, accuracy, and business impact.

Reinventing Model Validation: How Ramakrishnan Accelerated Enterprise-Scale Recommendation Systems

IT Services

Web development

Business Intelligence

Reconome is a social benefit business. Our vision is a world where everyone...

RECONOME

https://www.recono.me/

11-50 emps

Since 2018

Reconome's stories on HackerNoon