Quanta Magazine

New Math Revives Geometry’s Oldest Problems

Using a relatively young theory, a team of mathematicians has started to answer questions whose roots lie at the very ...
IEEE

A Combined Diffusion Model and Reinforcement Learning Approach for Solving the Vehicle Routing Problem With Multiple Soft Time Windows

Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...
IEEE

Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach

Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...
decrypt

Monero '51% Attackers' Qubic Release AI Model—But It Can't Do Basic Math Yet

Qubic has given AIGarth, the AI model it has been training while it attacked privacy blockchain Monero, a social media account. AIGarth has faced public ridicule after it failed to solve basic math ...
TechRadar

Here’s why synthetic data is bound to cause more issues than solve problems

As AI becomes deeply embedded across sectors, the quality of its foundations becomes more important. One trend receiving growing attention is the use of synthetic data – artificially generated ...