A new study suggests that the efficiency of artificial intelligence (AI) can be enhanced not just by deepening neural networks but by choosing the most influential paths to an outcome. This research, published in *Scientific Reports*, has been spearheaded by Bar-Ilan University in Israel, offering a novel approach to improving AI classification tasks.
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AI research
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The era of the autonomous enterprise is here, says Leslie Joseph, principal analyst at Forrester Research during UiPath’s AI Summit. However, still 81 per cent of all businesses has just taken the first steps in automating their processes. The end game is not just adopting deep learning, but to weave all levels into one. ‘Where humans and digital workers all play their part in the autonomous enterprise’, says Joseph.
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Jheronimus Academy of Data Science (JADS) and ASML signed an agreement to collaborate in the field of data science. The partnership brings together academic knowledge, world-class research, international talent and challenging industrial applications. The two partners will initially focus on thesis assignments from JADS students at ASML and a case study within the Data Entrepreneurship in Action program (DEIA).
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Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive. The device demonstrated this knowledge by its ability to create new portraits on its own that were tailored to be found personally attractive to individuals. The results can be utilised, for example, in modelling preferences and decision-making as well as potentially identifying unconscious attitudes.
