A detailed literature review published in the International Journal of Business Innovation and Research has looked at the interplay between artificial intelligence (AI) tools and human resource management (HRM). The review aims to provide clarity on the nuanced dynamics shaping the digital era.A detailed literature review published in the International Journal of Business Innovation and Research has looked at the interplay between artificial intelligence (AI) tools and human resource management (HRM). The review aims to provide clarity on the nuanced dynamics shaping the digital era.Business[#item_full_content]

A new artificial intelligence (AI) application developed by a team from Martin Luther University Halle-Wittenberg (MLU), Johannes Gutenberg University Mainz, and Mainz University of Applied Sciences is now able to decipher difficult-to-read texts on cuneiform tablets.A new artificial intelligence (AI) application developed by a team from Martin Luther University Halle-Wittenberg (MLU), Johannes Gutenberg University Mainz, and Mainz University of Applied Sciences is now able to decipher difficult-to-read texts on cuneiform tablets.Software[#item_full_content]

Recent advancements in generative artificial intelligence (AI) have showcased its potential in a wide range of creative activities such as producing works of art, composing symphonies, and even drafting legal texts, slide presentations, or the like.Recent advancements in generative artificial intelligence (AI) have showcased its potential in a wide range of creative activities such as producing works of art, composing symphonies, and even drafting legal texts, slide presentations, or the like.Business[#item_full_content]

Large Language Models (LLMs) pose a direct threat to science because of so-called “hallucinations” (untruthful responses), and should be restricted to protect scientific truth, says a new paper from leading Artificial Intelligence researchers at the Oxford Internet Institute.Large Language Models (LLMs) pose a direct threat to science because of so-called “hallucinations” (untruthful responses), and should be restricted to protect scientific truth, says a new paper from leading Artificial Intelligence researchers at the Oxford Internet Institute.Machine learning & AI[#item_full_content]

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.[#item_full_content]

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.Computer Sciences[#item_full_content]

Graphs are essential tools for visualizing complex information, from social networks to biological pathways. However, designing these graphs can be challenging, as it involves balancing aesthetics with the practicality of automatic generation.Graphs are essential tools for visualizing complex information, from social networks to biological pathways. However, designing these graphs can be challenging, as it involves balancing aesthetics with the practicality of automatic generation.[#item_full_content]

Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system—in much the same way that the human brain has to develop and operate within physical and biological constraints—allows it to develop features of the brains of complex organisms in order to solve tasks.Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system—in much the same way that the human brain has to develop and operate within physical and biological constraints—allows it to develop features of the brains of complex organisms in order to solve tasks.Machine learning & AI[#item_full_content]

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