Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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 ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Apple has published two new research papers on its Machine Learning blog, detailing an AI model for improved photogrammetry and another that acts as a video-related personal assistant. The iPhone ...

Former OpenAI CTO Mira Murati has announced her new startup. Unsurprisingly, it’s focused on AI. Called Thinking Machines Lab, the startup, which came out of stealth today, intends to build tooling to ...

Dr. Karl Friston, a distinguished psychiatrist, neuroscientist, and pioneer of modern neuroimaging, is a leading expert on intelligence, both natural and artificial. I've followed his work with ...

On January 7, 2025, Narcisse Zekpa and Ajeeb Peter published an article on the AWS Machine Learning Blog titled “Evaluate large language models for your machine translation tasks on AWS.” This is the ...

Navigating the world of machine learning can often feel like stepping into a vast, intricate maze. Whether you’re a seasoned professional or just starting out, it’s easy to feel overwhelmed by the ...

In today’s evolving educational landscape, artificial intelligence (AI) is a double-edged sword - an emerging technology that could either revolutionize learning or exacerbate existing inequalities.