The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Looking ahead to some of the biggest lawsuits of 2026, one theme stands out: the law is racing to catch up with technology.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Public discourse has focused a lot on artificial intelligence in the past few years. And even though the technology is hyped ...

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

AI has the potential to transform healthcare for the better by freeing up clinicians to refocus on human connection.

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...