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AI to create personalised health responses to air pollution

Professor Fan Chung, Professor Christopher Pain and Claire Dilliway from Imperial College London, walk us through the exciting use of artificial intelligence to create personalised health responses to air pollution and invite you to get involved.
Figure 1: ROBUST extends the mission and vision of the Dutch Innovation Center for Artificial Intelligence (ICAI) by adding 17 new labs to ICAI’s current ecosystem. With a total budget of €87mn, including €25mn from the Netherlands Organization for Scientific Research (NWO), the ROBUST program has an extraordinary opportunity to conduct collaborative research in AI that directly addresses globally significant socio-technical challenges.

Trustworthy AI for semiconductor manufacturing

Marcel van Gerven, a Professor of Artificial Cognitive Systems at Radboud University, discusses how his team’s research on AI models, algorithms, and demonstrators could serve as a blueprint for the semiconductor manufacturing industry.
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Intra-operative imaging solutions for surgeons

Birgitta Dresp from the Centre National de la Recherche Scientifique (CNRS) discusses the challenges associated with intra-operative imaging technology and the quest for gold standards of surgical skill.

A game that poses a challenge to artificial intelligence

Steven J. Brams, hailing from New York University, unveils a game that poses a challenge to artificial intelligence.
Professional female doctor examines results of mammography screening procedure using computer. Mammogram scans of breast tissues displayed on PC screen. Breast cancer prevention. Hospital or clinic.

Artificial intelligence (AI) in mammographic screening in Norway

BreastScreen Norway discusses how the results from their screening programme for early breast cancer detection can influence future artificial intelligence to streamline early breast cancer detection.

AI-empowered neural processing for intelligent human-machine interface and biomedical devices

Jie Gu, Associate Professor from Northwestern University, examines AI-empowered neural processing for intelligent human-machine interface and biomedical devices.
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.
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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.
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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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