EUDR Deadline Extended—But Immediate Action is Key
The EU Deforestation Regulation (EUDR) aims to eliminate deforestation-linked products from the European market, impacting commodities like coffee, cocoa, soy, wood,and palm oil. This new...
Building Expert AI With Domain-Specific Data
The internet has been transformative for AI development, providing the vast quantities of data that power today's most advanced systems. From language models to computer...
Generative AI Projections for 2025 and Beyond
Generative AI, once a glint in the eye of researchers pre-2022, has advanced rapidly in a short space of time. While generative AI technology has...
Sustainable Dev’t In Ghana
The latest survey by the Ghana Statistical Service revealed that 42,396 agribusiness firms closed during the lockdown, with 16,091 of those firms still remaining closed....
The Lack of Diversity in Datasets And Why We Should Care
There has been a noticeable lack of diverse datasets to train machine learning models, resulting in ethical harms against specific communities. AI ethics researchers are...
Abductive Learning and Artificial Intelligence: Why Can’t Machines learn like Humans?
In an oriental fable, the sons of King Serendippo travel a distant road. They come across a man who has lost a camel. Is it,...
The Art of the Dataset
Artists working with AI face multiple decisions during their creative process. Typically, they need to come up with a compelling concept, find a relevant dataset,...
Crowdsourcing Vs. Managed Service Vs. In-House Labeling
Labeled data is required for all supervised machine learning projects. Labels are added to raw data, such as images, text, audio, and video, in order...
How to Find Training Data for Machine Learning
Supervised machine learning projects require training data. By learning from training data, a supervised algorithm aims to accurately predict outcomes when exposed to real data....
Manual Vs. Automated Data Labeling
As demands increase for high-quality, large-scale training datasets, data labeling has become an increasingly important function within AI. Manually labeling training data is labor-intensive and...