It was a Monday night in Myanmar's Chang U township in the central Sagaing region, where nearly 100 people had gathered to mark Thadingyut, the festival of the full moon. Some held candles at the event, which doubled as both a celebration and a protest against the military, which seized power in 2021, plunging the country into a bloody civil war. But the celebration soon turned into horror as a motorised paraglider - known locally as a paramotor - flew overhead and dropped bombs onto the crowd. The attack lasted just seven minutes, but at least 26 people died as a result and dozens more were injured. Initially, I thought the lower part of my body had been severed, one 30-year-old who was at the gathering told news agency Reuters.

However, the lack of expert-annotated, open-access resources has hindered the analysis of ALS data using advanced deep learning techniques.

We then apply this approach to the problem of making good decisions in the branch-and-cut framework for mixed-integer optimization (e.g., which cut to add?). In other words, the neural network will take as input a mixed-integer optimization instance and output a decision that will result in a small branch-and-cut tree for that instance.

Kernel ridge regression (KRR) is a central tool in machine learning due to its ability to provide a flexible and efficient framework for capturing intricate patterns within data.

Consequently, evaluating models on test splits that might have leaked into the training set is prone to misleading conclusions.