AI

AI Assets related to #AI

Jupyter Notebook

I-NERGY Heat Forecasting

This jupyter notebook is how a prediction system for heat energy demand was implemented in context of I-NERGY project.

Jupyter Notebook

I-NERGY Cold Forecasting

This jupyter notebook is how a prediction system for cold energy demand was implemented in context of I-NERGY project.

Jupyter Notebook

I-NERGY Heat Decision

This jupyter notebook is how a decision support system (DSS) was implemented in context of I-NERGY project.

Jupyter Notebook

I-NERGY Cold Decision

This jupyter notebook is how a decision support system (DSS) was implemented in context of I-NERGY project.

ML Model

LexaTexer provides an Enterprise AI platform to support the energy value chain with prebuilt, configurable AI applications addressing CAPEX intense hydro assets like Pelton and Francis turbines and pumps. In this project we combine our Enterprise AI platf...

Docker container

Rebase Model

This is a LightGBM time-series forecasting model. LightGBM is a gradient boosting decision tree framework developed by Microsoft. It works by recursively partitioning the feature-space into hyperrectangles and utilising the mean (or median) of the target ...

Docker container

SmartRIVER_forecast

A service for predicting river discharge in a specific river section for the next time step

Docker container

ADIOS - I-NERGY Training Model

The docker contains the execution script to train the models on a dataset with extended labels

As a Service

Super-resolution Services for power line drone inspections

Generating good quality data in power line inspection to enable the use of AI technologies to automate the power line inspection process using drones Power lines require regular inspections to guarantee their structural health. This process has been co...

Jupyter Notebook

SmartRIVER core forecast system

This notebook provides a simple workflow to perform discharge or energy forecast using ML .

ML Model

Description and setup of ML models for the estimation of Snow Water Equivalent (SWE) and runoff in Alpine watersheds

The document describes the datasets and setup of the ML models used for the estimation of Snow Water Equivalent (SWE) and runoff in Alpine watersheds within the scope of SnowPower, one of the projects in the I-NERGY 1st Open Call. SnowPower is a Softwar...

Education resources related to #AI

A Robotic New Hope Ethical Questions in regards to the Human-Robot Relationship - Chapter 3

AI Basics Series - Module 3 - A Robotic New Hope: Ethical Questions in regards to the Human-Robot Relationship

This lecture aims at introducing a general audience to the topic of social robots - humans interactions, and major ethical questions to be discussed when considering such technology.

AI Basics Series - Module 2 - Introduction to Data Science

This module aims at introducing the audience to the key concepts and techniques in data science. The audience will be introduced to different stages in data science based on the CRISP-DM Data Science process.

AI Basics Series - Module 1 - What is Artificial Intelligence

This module aims at introducing the audience to the key concepts and applications in artificial intelligence. The audience will be introduced to different aspects of the application of AI and foundational pillars in artificial intelligence.

Documents related to #AI

State of AI

Read more about State of AI

The State of AI Report analyses the most interesting developments in AI. The authors aim to trigger an informed conversation about the state of AI and its implication for the future. The Report is produced by AI investors Nathan Benaich and Ian Hogarth.

News related to #AI

Ethics

Requirements for High-Risk AI Systems

This paper focuses on Chapter 2 requirements and highlights a gap between necessary compliance and what will be considered sufficient to avoid liability. The compliance of high-risk AI systems with the EU AI Act is a critical question for those involved i...

Ethics

The EU AI Act’s Risk-Based Approach: High-Risk Systems and What They Mean for Users

The mass adoption of AI is ubiquitous across sectors. While this can have many benefits, the use of these systems can pose novel risks if gone unchecked.

Development Resources

How to Make It Possible to Use Pre-Labeled Data for AI Algorithms With High Quality Requirements

In this article, we take a closer look at the hidden risks and complexities of using pre-labeled data which can be encountered along the way of automating the labeling process and how it can be optimized. Let's start by getting an overview of what pre-lab...

Business Funding

Heilbronn is to become Europe’s Nr.1 AI-location – Campus Founders supports European AI-Startups with its own incubation program

Heilbronn, September 15th, 2022 – Solving the challenges of the future with artificial intelligence. To support making this a reality more often, Campus Founders launches its startup incubator program "AI Founders". In cooperation with ZFHN Zukunftsfonds ...

AIPlan4EU

AIPlan4EU will help solve your planning problem

Are you a company or an individual with a real-world AI Planning use case? AIPlan4EU is looking for you! Apply until Sep 1st for €1.500 funding for projects in AI planning in... 🚀 space, 🌾 agriculture, 🏭 manufacturing, 🚛 logistics, 🚘 autonomous drivi...

InTouchAI.eu

Business Health

InTouchAI.eu - The High-Level Forum on the EU Vision for Trustworthy AI in the World

The European Commission in the frame of InTouchAI.eu organises the European AI Excellence and Trust in the World at the World EXPO Dubai from 15-16 March 2022. The event leverages the international stage at the EXPO to present the EU approaches to AI at a...