Tokenless

Natural language processing

Beyond Swahili: Designing Inclusive AI for Bantu Languages

Beyond Swahili: Designing Inclusive AI for Bantu Languages

Alfred Malingo discusses the unique position of Swahili in AI, arguing that its structural similarities to other Bantu languages make it a far more effective pivot language than English for developing inclusive and accurate models. He deconstructs the failures of typologically mismatched transfer from Indo-European languages and presents a case study, AfriMT-a, to demonstrate how Swahili can serve as a technical bridge for machine translation and representation learning across the Bantu language family.

GeoMind: A Multi-Agent Framework for Geospatial Decision Support

GeoMind: A Multi-Agent Framework for Geospatial Decision Support

GeoMind is a multi-agent framework designed to empower non-technical users, such as disaster responders, to perform complex geospatial analysis using natural language. It bridges the gap between Large Language Models and advanced GIS workflows by employing a team of specialized AI agents that can query, join, and analyze multi-layered vector and raster data to provide timely, actionable insights during emergencies.

‘Hey mum, I dropped my phone down the toilet’: Investigating Hi Mum and Dad SMS Scams in the UK

‘Hey mum, I dropped my phone down the toilet’: Investigating Hi Mum and Dad SMS Scams in the UK

An empirical study of the 'hi mum and dad' SMS scam, a new interaction-based fraud technique. The research dissects the scam's lifecycle, from initial contact to financial exploitation, by analyzing scam messages, mobile network data, and mule accounts in collaboration with a UK mobile operator. Key findings reveal the psychological principles used, the abuse of mobile and financial infrastructure, and the underlying structure of scammer networks.