Parametric Solutions

Explore the Lucas Critique and its implications for New Keynesian models, including challenges to Calvo and Rotemberg solutions and policy invariance debates.

How Correcting Calvo Solutions Reshapes the Lucas Critique

The project presented here marks a significant step forward in how designers can interact with complex datasets and uncover new possibilities in their work.

Expanding Design Exploration: Exploring Feature Spaces Beyond Parametric Boundaries

Yuriy Sakhno is a volunteer helping the Ukrainian military with 3D printing.

How I Built a 3D Farm and Printed Over 2 Tons of Products For The Ukrainian Army

ChatGPT helps build a full Monte Carlo simulation for copula modeling—no human coding needed, just natural language and math prompts.

Using AI to Build a Monte Carlo Simulation

Explore the implications of non-stochastic equilibrium, economic growth, and de-trending, highlighting the conditions for balanced growth.

Stochastic Equilibrium and the Role of Economic Growth in Non-Stochastic Models

Explore how output imbalance and parameter assumptions impact economic equilibrium, with proof through the Jensen-Chebyshev inequality.

Why Output and Steady States Must Change to Restore Economic Balance

Explore the economic and mathematical significance of stochastic equilibrium, from price distortions to interest rates, and the impact of uncertainty on welfare

The Economic Impact of Stochastic Equilibrium: Price Distortions, Interest Rates, and Welfare

Review perturbation solutions, nominal rigidity models, and Lucas Jr’s critique, connecting and disproving pseudo-observational equivalence in economic models.

A Critical Review of Lucas Jr's Famous Paper on Nominal Rigidity

Explore the complexities of the Phillips curve, focusing on key singularities and their impact on economic theory. 

How Singularities Affect the Phillips Curve and Economic Policy

Discover key insights on inflation, DSGE models, and stochastic equilibrium in New Keynesian economics with fresh econometric approaches.

New Evidence Changes How We Understand Inflation and Monetary Policy

Discover how search-based methods like BestConfig, AutoTune, and UDAO optimize DBMS configurations. 

Search, Tune, Repeat: The Search-Based Approach to Perfecting Cloud Performance

Learn how Yeager.ai is revolutionizing smart contracts through AI integration, featuring insights from founder Edgars on decentralized AI, blockchain innovation

From Code to Intelligence: How Yeager.ai is Building Internet-Native Smart Contracts

This study outlines a strategy for detecting ultralight vector dark matter, highlighting sensor behavior and guiding future experimental designs.

Advancing the Detection of Ultralight Vector Dark Matter through Novel Analytical Strategies

Organizations should not build an infrastructure dedicated to AI and AI only while leaving other workloads to fend for themselves.

An Architect’s Guide to Building Reference Architecture for an AI/ML Datalake

This study considers a bivariate jump-diffusion model to describe Bitcoin price dynamics and the number of Google searches affecting the price.

Neural Network for Valuing Bitcoin: Neural Network Methodology

In this paper we study how the “semantic guesswork” produced by language models can be utilized as a guiding heuristic for planning algorithms.

Navigation with Large Language Models: Discussion and References

Explore computational results in bin packing, comparing initial heuristics' performance and analyzing Variable Neighborhood Search (VNS) vs. Metaheuristic (MH)

Analyzing Computational Results: Insights into Bin Packing Heuristic Performance

This year's hottest startup region was Europe, with huge startup hotbeds in the UK and Germany. 

Startups of The Year 2023 Winners: Europe

Learn everything you need to know about Insurance via these 46 free HackerNoon stories.

46 Stories To Learn About Insurance

Learn everything you need to know about Smart Contracts via these 309 free HackerNoon stories.

309 Stories To Learn About Smart Contracts

Learn everything you need to know about Decentralized via these 57 free HackerNoon stories.

57 Stories To Learn About Decentralized

Tomás Ruiz, technical lead of Witnet, presented on the importance of standardization for oracle networks, the challenges of implementing them, and solutions.

Tomás Ruiz on the Standardization of Oracle Networks, its Challenge, and Call To Action


1952 witnessed the world’s first computer that could learn while it was running. It was a game of checkers developed by Arthur Samuel. It has barely been half a century since then and we’re already having a conversation about whether we should commercialize self-driving cars or not. Machine Learning gave birth to some of these great advancements in technology and we’re going to dive deep into everything it can do to make our lives much easier than ever before. 

Machine Learning Applications Across Different Industries

DoraHacks has secured $20 million in a Series B1 investment, spearheaded by FTX Ventures and Liberty City Ventures, to expand its web3 incentives ecosystem.

DoraHacks Raises $20 Million to Promote Web3 Ecosystem Building through Grants and Hackathons

With algorithms and AI we configure buildings based on input parameters from the users

PARAMETRIC SOLUTIONS

parametric.se

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PARAMETRIC SOLUTIONS

parametric.se

6 emps

Since 2020

Parametric Solutions's Related Companies

2023

12B

2015

500M

2007

498.7M

2020

100M

1996

40M

2%

2017

32.5M

2021

30M

2015

6.4M

6%

2015

5M

2020

350K

2016

2020

2019

2022

2014

2013

2020

2021

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