Optimal transport aims to learn a mapping of sources to targets by minimizing the cost, which is typically defined as a function of distance. The solution to this problem consists of straight line segments optimally connecting sources to targets, and it does not exhibit branching. These optimal solutions are in stark contrast with both natural, and man-made transportation networks, where branching structures are prevalent. Here we discuss a fast heuristic branching method for optimal transport in networks. We also provide several numerical applications to synthetic examples, a simplified cardiovascular network, and the "Santa Claus" distribution network which includes 141,182 cities around the world, with known location and population.

Branched Optimal Transport (BOT) is a generalization of optimal transport in which transportation costs along an edge are subadditive. This subadditivity models an increase in transport efficiency when shipping mass along the same route, favoring branched transportation networks. We here study the NP-hard optimization of BOT networks connecting a finite number of sources and sinks in $\mathbb{R}^2$. First, we show how to efficiently find the best geometry of a BOT network for many sources and sinks, given a topology. Second, we argue that a topology with more than three edges meeting at a branching point is never optimal. Third, we show that the results obtained for the Euclidean plane generalize directly to optimal transportation networks on two-dimensional Riemannian manifolds. Finally, we present a simple but effective approximate BOT solver combining geometric optimization with a combinatorial optimization of the network topology.

Automation is good, so long as you know exactly where to put the machine, or so the saying goes. Being the boss of small or medium size enterprise can be a blessing or a curse, depending how one looks at the conundrum. On the one hand, you're the top dog, the man on the throne, to whom all look up to in times of need. On the other hand, you are likely to be mired in a myriad of tasks, from administration and customer meetings to, well, running the business. In a way, you may be a Jack of All Trades and master of none.

Issues in Documentation verification of the vehicles is automated by Bot communicating with the sellers. Maruti Techlabs designed Artificial Intelligence and Bot Solution for automating tasks for the client. With the help of Bot solution, the client was able to save time with less human- involvement and increase customer satisfaction.

Issues in Documentation verification of the vehicles is automated by Bot communicating with the sellers. Issues in Documentation verification of the vehicles is automated by Bot communicating with the sellers. Maruti Techlabs designed Artificial Intelligence and Bot Solution for automating tasks for the client. With the help of Bot solution, the client was able to save time with less human- involvement and increase customer satisfaction. Maruti Techlabs designed Artificial Intelligence and Bot Solution for automating tasks for the client.

Bots (or chatbots) seem to be taking the technology world by storm. Not a week goes by without some exciting announcements related to chatbots. Recently, at the F8 conference, Facebook announced a new chatbot platform for its messenger app. This announcement comes just a few days after Microsoft's release of its Bot Framework at the Build Conference. While we are still in the early days of the "Bot revolution," we can clearly see how chatbots are going to become an integral part of the consumer and enterprise software ecosystem.