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

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 ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

CheapInsurance.com reports that by 2026, AI-driven auto insurance claims will streamline processes, enhancing efficiency and ...

Introduction: Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as ...

The increase in the number of free-range breeders in Canela-Preta strengthens the Brazilian poultry industry, mainly in terms of biosafety, health and quality of the animals. Therefore, it is ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Abstract: Machine Learning (ML) is a relatively recent development that has had a profound impact on Robotics, Computer Vision (CV) and Natural Language Processing (NLP) by allowing automation of ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...