Consider a service system in which individuals are served by facilities at different locations within a geographical region. For example, the facilities could represent schools, polling places, or commercial fulfillment centers. The geographical partitioning problem (Carlsson & Devulapalli 2013) divides the region into non-overlapping districts, such that all individuals residing in the same district are served by the same facility. The goal is to choose a partition that optimizes some measure of social welfare, most commonly the average travel cost per individual (Carlsson et al. 2016). We formulate and study a novel variant of this problem where the population is heterogeneous, consisting of multiple demographic groups, each with a different spatial distribution throughout the region. Again we optimize the expected cost, but now we also impose a new group fairness condition: each subpopulation can be neither over-nor under-represented at any facility. In other words, the districts are designed in such a way that the proportion of the population belonging to a particular group in any district must match that group's incidence in the entire population. This condition is also known as "demographic parity" in the literature (Dwork et al. 2012).

Police seized ketamine hidden inside life-size Transformer robots in Thailand. A woman who was previously caught trying to ship meth hidden in a food processing machine was trying to send the robots to Taiwan. Thailand on Monday officially began the selection of new senators, a process that has become part of an ongoing war between progressive forces hoping for democratic political reforms and conservatives seeking to keep the status quo. Hopeful candidates headed to district offices across the country on the first day of registration to compete for one of the 200 seats in Parliament's upper house. The power of the Senate -- although limited compared to the House of Representatives, which is tasked with law-making responsibilities -- was demonstrated dramatically when it blocked the progressive party that won the most seats in last year's election from forming a new government.

The Federal Trade Commission delivered a report to Congress warning about the use of artificial intelligence to combat online harms. The June 16 report lays out the FTC's latest thinking on AI, and any organization that uses algorithmic decision-making in a way that impacts consumers should take heed. Key takeaways include: The importance (and limitations) of having a human in the loop. The need for AI to be "meaningfully transparent, which includes the need for it to be explainable and contestable, especially when people's rights are involved or when personal data is being collected or used." Companies that use AI "must be accountable both for their data practices and for their results" and should consider independent audits and algorithmic impact assessments.

Foremost Manufacturing Inc. (Union, NJ), a manufacturer of reflectors for lighting fixtures, has adopted a fuzzy logic-based application to produce quotations for customers in less time. The company is using a fuzzy system to produce bids in about 1.5 minutes, compared to an industry average of two weeks. Carnegie Group Inc. (Pittsburgh, PA) has developed a hybrid neural network/expert system for diagnostic situations where signal data and symbolic data must be combined to perform a definitive diagnosis and repair procedure. This technology was developed with funding from the National Science Foundation. Working with experts from Armco Steel (Middletown, OH), Carnegie Group developed a prototype system to diagnose chatter in a coldrolling mill.

This technology was developed with funding from the National Sony, the Japanese consumer electronics Science Foundation. Working with experts from Armco Steel (Middletown, company, has developed OH), Carnegie Group developed a prototype system to diagnose an intelligent system to improve chatter in a coldrolling mill. In the and consulting company, has developed a PCbased virtual reality system company's semiconductor group, to provide financial planners a visual metaphor for viewing large The system allows the user to "fly" over the The expert system is installed in Meiji's Tokyo service two-thirds. With Domain Dynamics Ltd. (Windsor, England) has developed a PCbased the system, technical support neural network application to automate the recognition of data from the Currently available in days to solve with a text retrieval the form of two circuit boards, TESPAR (which stands for Time Encoded system now take just afew minutes. Signal Processing and Recognition) is capable of being converted to a single piece of silicon.