The supply chain's last mile is complex and expensive. AI has the potential to fix its woes.

AI is enhancing last-mile delivery efforts by analyzing data to optimize truck routes, predict errors, and prevent package theft.
GitHub

StatsPAI: a Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
SiliconANGLE

Cisco’s Universal Quantum Switch and the rise of the quantum fabric

Cisco Systems Inc.’s new Universal Quantum Switch introduced last week is a strong proof point regarding the network’s importance in scaling quantum. For information technology leaders, the key ...
IEEE

Route Optimization in Smart Villages: A Graph Neural Network Approach

Abstract: In the Internet of Things (IoT) domain, modeling the intricate relationships within spatiotemporal data from sensors is a significant challenge. Conventional methods, which often rely on ...
GitHub

ERP beyond your fridge

General help and usage questions → r/grocy on Reddit Bug Reports and Feature Requests → Issue Tracker Please don't send me private messages or call me regarding anything Grocy. I check the issue ...
IEEE

Route Optimization of Raw-Milk Collection from Small Farmers located in Remote Villages in India

Abstract: Inbound milk-run routing is a challenging problem that deals with the collection of raw-milk from remote villages to the dairy processing plants, especially in developing countries. The ...
Nature

Machine learning made easy for optimizing chemical reactions

The optimization of reactions used to synthesize target compounds is pivotal to chemical research and discovery, whether in developing a route for manufacturing a life-saving medicine 1 or unlocking ...