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Figure 1: A multi-party Decision Support System Model based on artificial intelligence

The European REVERT Project: An ai-based dss for treatment selection

Find out here about the European REVERT project, an AI-based DSS for treatment selection.

How Tun-AI technology can be used to estimate tuna biomass

Satlink, a leading buoy manufacturer, has partnered with Komorebi AI researchers to develop Tun-AI, a machine-learning protocol that contextualizes echo-sounder data from buoys to estimate tuna biomass, shaping the future of fishery science.

AI healthcare research: Pioneering iSMART Lab

Dr Narges Armanfard, Professor, talks us through the AI healthcare research at McGill University which is spearheading a groundbreaking initiative – the iSMART Lab.
soil health monitoring

Revolutionizing agriculture: Unleashing the potential of AI and big data in soil health monitoring

In a recent interview, our editors delved into the world of soil health monitoring and the transformative role played by artificial intelligence (AI), big data, and machine learning, with Mogens H. Greve, Professor and Head of the Soil Section at the Institute of Agroecology, Aarhus University.
A financial data analysis graph. Selective focus. Horizontal composition with copy space.

Towards generalised pairs trading strategies through AI

Here, we learn about Professor Chien-Feng Huang’s interdisciplinary research at the National University of Kaohsiung in Taiwan, concerning the move towards generalised pairs trading strategies through artificial intelligence.
Digital background depicting innovative technologies in (AI) artificial systems, neural interfaces and internet machine learning technologies

Human-centirc artificial intelligence: Frontier research and building industry capability

Chin-Teng Lin, Distinguished Professor from the University of Technology Sydney, Human-centric AI Centre, AAII, explores human-centric AI, focusing on frontier research & building industry capability.
Figure 1. A pipeline of performing a systematic search resulting in a large text database, followed by either (A) a classical, time-consuming review process, or (B) fully transparent screening in interaction with advanced machine learning models.

Revolutionizing systematic reviews: the ASReview project’s call for trust and transparency in AI-aided screening...

Owing to the challenges inherent in the screening process, finding a low percentage of relevant studies at a high cost is common, making AI-aided screening tools a necessity.
Stone tablet inscribed with Cuneiform script

Optical character recognition for ancient non-alphabetic scripts

Shai Gordin, Senior Lecturer at Digital Pasts Lab in Ariel University, looks at the deciphering of ancient non-alphabetic scripts, and the technology we use to understand it.
AI concept image, red background

High-frequency trading through artificial intelligence for financial innovation

Professor Chien-Feng Huang, at the National University of Kaohsiung in Taiwan delves into high-frequency trading across Artificial Intelligence.

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