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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....

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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...

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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,...

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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,...

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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...

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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 be able to accurately predict outcomes when exposed...

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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...

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Is Synthetic Training Data the Future of Machine Learning?

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...

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Objectivity and Ground Truth in AI

‘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,...

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How Drones and Computer Vision are Used to Enhance Crop Yield

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...