THE CHANGING FACE OF FOOD RETAILING

Honorable Mention, Outstanding Choices Article Award, 2011Food Retailing, Food Trends, Food Consumers, Grocery Purchasing, Agribusiness, Food Consumption/Nutrition/Food Safety, Marketing, L1, M1, L2, L8,

A summary of the 2012 JHU CLSP Workshop on Zero Resource Speech Technologies and Models of Early Language Acquisition

We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding zero resource (unsupervised) speech technologies and related models of early language acquisition. Centered around the tasks of phonetic and lexical discovery, we consider unified evaluation metrics, present two new approaches for improving speaker independence in the absence of supervision, and evaluate the application of Bayesian word segmentation algorithms to automatic subword unit tokenizations. Finally, we present two strategies for integrating zero resource techniques into supervised settings, demonstrating the potential of unsupervised methods to improve mainstream technologies.5 page(s

Benjamin’s ‘flâneur’ and serial murder: An ultra-realist literary case study of Levi Bellfield

This article seeks to develop criminological theory with the application of a literary device known as the ‘flâneur’ – an individual described as a ‘stroller’ – to serial murderer Levi Bellfield. With this application of the ‘flâneur’ to the phenomenon of serial murder, this article provides a fresh theoretical ‘lens’, and specifically sheds light on how particular serial murderers operate and evade detection in modern society. The importance of modernity to the phenomenon of serial murder is also considered utilizing Ultra-Realist theory, resulting in both a micro and macro examination into how the modern urban landscape has subsequently created an environment in which the serial killer both operates and comes to fruition. This synthesis between the application of literary devices, criminological theory and socio-cultural concepts not only raises important and previously neglected questions pertaining to serial murder, but also assists in forming the more sinister relative of the flâneur: the ‘dark flâneur’

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License