Many natural language processing systems operate over tokenizations of text to address the open-vocabulary problem. In this paper, we give and analyze an algorithm for the efficient construction of deterministic finite automata designed to operate directly on tokenizations produced by the popular byte pair encoding technique. This makes it possible to apply many existing techniques and algorithms to the tokenized case, such as pattern matching, equivalence checking of tokenization dictionaries, and composing tokenized languages in various ways.

The electricity consumption of buildings composes a major part of the city's energy consumption. Electricity consumption forecasting enables the development of home energy management systems resulting in the future design of more sustainable houses and a decrease in total energy consumption. Energy performance in buildings is influenced by many factors like ambient temperature, humidity, and a variety of electrical devices. Therefore, multivariate prediction methods are preferred rather than univariate. The Honda Smart Home US data set was selected to compare three methods for minimizing forecasting errors, MAE and RMSE: Artificial Neural Networks, Support Vector Regression, and Fuzzy Rule-Based Systems for Regression by constructing many models for each method on a multivariate data set in different time terms. The comparison shows that SVR is a superior method over the alternatives.

Israeli researchers have developed and tested an innovative artificial intelligence (AI) treatment to eliminate aggressive cancerous tumors, the Rambam Health Care Campus said Wednesday. The new method addresses sarcoma cancer tumors, known for their resistance to chemotherapy treatment, according to the largest hospital in northern Israel. Such tumors cannot be removed by surgery because of their proximity to vital organs, nerves, or blood vessels. To deal with these tumors, Rambam researchers choose radiation treatment with high intensity through a virtual grid, or net, to attack the tumors in a targeted manner. They created the method by using complex calculations of radiation intensity, along with AI to determine the path of radiation.