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 ...
Abstract: This article introduces a highly efficient electrothermal coupling simulation method that leverages a data-driven neural network power loss model to enhance the simulation efficiency in the ...
AI writing tools are supercharging scientific productivity, with researchers posting up to 50% more papers after adopting ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
As enterprises become more extended and reach their footprints further, dealing with network complexity has become almost as important as network performance. The key to this is AI. But only if ...
As AI remakes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol. But ...
CRN rounded up 10 of the hottest AI networking tools and platforms that solution providers should know about right now.
Even if quantum machines capable of breaking Bitcoin’s cryptography are decades away, the work required to update software, ...
Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
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