Robots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, ...

A new AI-driven beauty evaluation system rates how attractive faces appear, while training faster than typical deep learning models, potentially making large-scale automated beauty-scoring more ...

Leaders often struggle to assess whether their employees are using AI successfully. Often, they default to measuring what’s easily observable: how much they’re using AI tools. To get a clearer picture ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...