Next Big Thing? Methamphetamine in the United States

A new major study disproving the popular belief that there exists a growing methamphetamine "epidemic" within the United States. 41 page

NFT: The Next Big Thing?

In 2021, Non-Fungible Tokens (“NFTs”) have taken the world of digital art to new heights. Artists are beginning to “tokenize” their art and sell them in NFT marketplaces for highly lucrative prices where bids can be made only with cryptocurrency. The “hype” surrounding NFTs grows by the day, thousands of new NFTs are being “minted” everyday. Even celebrities are getting involved in this digital movement. It seems however, that we have seen only the infancy of the blockchain based technology and that it may soon venture off beyond the world of digital art. For those in the legal profession, it begs the question, what are NFTs really? And how do we regulate them

Combined Authorities – the next big thing?

With newly directly elected mayors due to take up their roles at the head of Combined Authorities following elections in May, Janice Morphet considers the powers at their disposal and the possible impacts of the latest round of revolution in English local governmen

What Is the Next Small Big Thing in Psychology?

oai:psyct.psychopen.eu:article/215No abstract available

Knowledge-base black holes: the next (small) big thing?

Hydraulic EngineeringCivil Engineering and Geoscience

Large Language Models for Telecom: The Next Big Thing?

The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with the blooming of self-evolving networks, represent a rich field for exploiting GenAI and reaping several benefits that can fundamentally change the way how wireless networks are designed and operated nowadays. To be specific, large language models (LLMs), a subfield of GenAI, are envisioned to open up a new era of autonomous wireless networks, in which a multimodal large model trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for dedicated AI models for each task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks. In this article, we aim to unfold the opportunities that can be reaped from integrating LLMs into the Telecom domain. In particular, we aim to put a forward-looking vision on a new realm of possibilities and applications of LLMs in future wireless networks, defining directions for designing, training, testing, and deploying Telecom LLMs, and reveal insights on the associated theoretical and practical challenges