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....
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...
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,...
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,...
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...
Supervised machine learning projects require training data. By learning from training data, a supervised algorithm aims to be able to accurately predict outcomes when exposed...
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...
Even as the availability of processing power increases exponentially, and machine learning algorithms are commoditized, there is a problem that persistently slows the development of...
‘Ground truth’ is somewhat of a confusing machine learning buzzword. Discussions of the ground truth naturally touch on areas such as bias, representation, and objectivity,...
Drones or UAVs (Unmanned Aerial Vehicles) are propelling a revolution in farming and agriculture. In 2019, the FAO published E-Agriculture in Action: Drones for Agriculture, a detailed guide...