The supply chain is changing and evolving faster than ever before. Get familiar with terms like Big Data, Internet of Things (IoT), Machine Learning, Blockchain, Artificial Intelligence, Augmented Reality, Drones and Deep Learning. These are new ways to improve the supply chain. There is a huge assortment of supply chain and business information on Supply Chain Today. You will find the latest supply chain innovations such as how robotics and artificial intelligence are improving efficiency like never before. You will also find supply chain information from legends like Sam Walton, Henry Ford, Peter Drucker, Dr. Deming, Jeff Bezos, Jack Ma, Taiichi Ohno and many others.

We describe an application of Answer Set Programming to the understanding of narratives about stereotypical activities, demonstrated via question answering. Substantial work in this direction was done by Erik Mueller, who modeled stereotypical activities as scripts. His systems were able to understand a good number of narratives, but could not process texts describing exceptional scenarios. We propose addressing this problem by using a theory of intentions developed by Blount, Gelfond, and Balduccini. We present a methodology in which we substitute scripts by activities (i.e., hierarchical plans associated with goals) and employ the concept of an intentional agent to reason about both normal and exceptional scenarios. We exemplify the application of this methodology by answering questions about a number of restaurant stories. This paper is under consideration for acceptance in TPLP.

Billionaire entrepreneur Elon Musk, by way of blogger and cartoonist Tim Urban, has revealed in a 36,400-word illustrated explainer the thinking behind his new company Neuralink and its mission to use brain implants to directly link human minds to computers. The post argues that we should augment the slow, imprecise communication of our voices with a direct brain-to-computer linkup. This would permit both telepathy between people and advantageous relations with artificial intelligence, says Musk. Musk even gives a time line. He says that within eight to 10 years healthy people could be getting brain implants as new computer interfaces. The problem with the post is that, despite its length, Musk does not reveal how he's going to do it.

Billionaire entrepreneur Elon Musk, by way of blogger and cartoonist Tim Urban, has revealed in a 36,400-word illustrated explainer the thinking behind his new company Neuralink and its mission to use brain implants to directly link human minds to computers. The post argues that we should augment the slow, imprecise communication of our voices with a direct brain-to-computer linkup. This would permit both telepathy between people and advantageous relations with artificial intelligence, says Musk. Musk even gives a time line. He says that within eight to 10 years healthy people could be getting brain implants as new computer interfaces. The problem with the post is that, despite its length, Musk does not reveal how he's going to do it.

We present three new filtering algorithms for the Disjunctive constraint that all have a linear running time complexity in the number of tasks. The first algorithm filters the tasks according to the rules of the time tabling. The second algorithm performs an overload check that could also be used for the Cumulative constraint. The third algorithm enforces the rules of detectable precedences. The two last algorithms use a new data structure that we introduce and that we call the time line. This data structure provides many constant time operations that were previously implemented in logarithmic time by the Theta-tree data structure. Experiments show that these new algorithms are competitive even for a small number of tasks and outperform existing algorithms as the number of tasks increases.