i3-MARKET Series - Part II: Data Economy, Models, Technologies and Solutions

i3-MARKET Series - Part III: The i3-MARKET FOSS Handbook 

This perspective paper introduces a novel framework for container orchestration called CODECO.

It is widely known that we are living through a historic moment in the field of artificial intelligence (AI), capturing the attention of the entire world with spectacular results across multiple application fields, especially in text and image generation.

Artificial intelligence helps coordinate precision agriculture tasks

"Risk and resilience are interconnected concepts. In fact, one of our goals in SUNRISE is to integrate resilience metrics with risk metrics.

In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.

The CROSSCON is a research project that targets developing research ideas into practical techniques and supporting prototypes, and the level of ambition is to validate results in lab conditions that are representative of a complex IoT system (i.e., technology readiness levels TRL 4 and TRL5).

The increasing development of cryptocurrencies has brought cryptojacking as a new security threat in which attackers steal computing resources for cryptomining.

In recent years, the development and refinement of artificial intelligence (AI) technologies have revolutionised various fields, including computer vision.

The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, as well as support of latency and bandwidth demanding applications.

As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

The EU Horizon 2020 KRAKEN project is dedicated to building a trusted and secure personal data platform enabling exchange and analytics of personal data.

In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.