Strategic Subset Selection in Satellite Imagery: Machine Vision Insights
The abundance of the currently available satellite and aerial images contrasts sharply with the scarcity of labels for these images. With data on such a grand scale, labeling everything, even to a small degree, is…
Wildlife Conflict Resolution: Boma & Cattle Detection in the Masai Mara using AI
In the Maasai Mara, escalating conflicts between humans and predators such as lions and cheetahs are a growing concern. We introduce an AI-driven solution that leverages satellite imagery to automatically detect bomas and cattle, as…
Keypoint Detection for Measuring Body Size of Giraffes: Enhancing Accuracy and Precision
Giraffes, especially the endangered Masai giraffes, face threats from illegal killing and habitat loss. Accurate body size measurements are crucial for understanding giraffe biology, but their unique body form poses challenges. Previous studies on giraffe…
MEGA: Multi-lingual Evaluation of Generative AI
Generative AI models have impressive performance on many Natural Language Processing tasks such as language understanding, reasoning and language generation. One of the most important questions that is being asked by the AI community today…
MARI Grand Seminar – Large Language Models and Low Resource Languages
Watch our two-hour grand seminar on Large Language Models and Low Resource Languages. The event included a keynote by Dr. Monojit Choudhury titled “Predicting, Explaining and Optimizing Performance of LLMs across Languages,” where he discussed…
Behind the label: Glimpses of data labelling labours for AI
ChatGPT is the latest of AI systems to make the headlines for its remarkable computational capabilities. Lesser known and rarely acknowledged is the human labours involved in training and supporting these celebrated AI systems. Thousands…
Research Focus: Week of April 1, 2024
In this issue: New research helps COMET embrace African languages; FeatUp improves deep features, a computer vision research cornerstone; LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error; Benchmarking LLMs across languages and…
Expand Opportunity – AI for Good
Our commitment starts with ensuring everyone has the ability to thrive in a digital, AI-enabled economy, and extends to empowering other organizations to address society’s biggest challenges.