While major languages often enjoy substantial attention and resources, the linguistic diversity across the globe encompasses a multitude of smaller, indigenous, and regional languages that lack the same level of computational support. One such region is the Caribbean. While commonly labeled as "English speaking", the ex-British Caribbean region consists of a myriad of Creole languages thriving alongside English. In this paper, we present Guylingo: a comprehensive corpus designed for advancing NLP research in the domain of Creolese (Guyanese English-lexicon Creole), the most widely spoken language in the culturally rich nation of Guyana. We first outline our framework for gathering and digitizing this diverse corpus, inclusive of colloquial expressions, idioms, and regional variations in a low-resource language. We then demonstrate the challenges of training and evaluating NLP models for machine translation in Creole. Lastly, we discuss the unique opportunities presented by recent NLP advancements for accelerating the formal adoption of Creole languages as official languages in the Caribbean.

First Lady, Sandra Granger (left) today, attended the Second Annual Science, Technology, Engineering and Mathematics (STEM) Robotics Exhibition hosted by STEM Guyana in collaboration with the Guyana Telephone and Telegraph (GTT) Company. The event was hosted at the Cliff Anderson Sports Hall on Homestretch Avenue.According to a Ministry of the Presidenxy press release, the First Lady, in her remarks at the opening ceremony, emphasised the importance of STEM and expressed the hope of having robotic teams from every region in Guyana participating at this event in 2019. "If you want to be relevant in the 21st Century…you must become involved in STEM. You must embrace technology…because our lives are attuned to technology," she said.

Artificial intelligence is a fascinating but not particularly accessible technology. Project DataREACH, currently in trial mode in Cameroon, wants to change that by giving doctors in all corners of the globe access to advanced AI to help diagnose illnesses and spot troubling health trends. "Our goal is to bridge the gap between the medical data now being gathered on the ground in developing nations, and the cutting-edge [AI] research and application...from the West," Project DataREACH founder and CEO Vikash Singh told PCMag. Singh's app allows clinicians to collect patient data like height, weight, blood pressure, cholesterol, family history, and location. That data is then analyzed via machine learning to assist physicians in evaluating the risk of noncommunicable diseases, including diabetes and cardiovascular issues.