There are many more trees in the West African Sahara Desert than we thought, according to a recent study based on AI and satellite imagery and published in the journal Nature -- which found more than 1.8 billion trees in the Sahara Desert. Researchers have counted more than 1.8 billion trees and shrubs in the 501,933 square-mile (1.3 million square-kilometer) area -- in an area encompassing the western-most region of the Sahara Desert -- called the Sahel -- along with sub-humid zones of West Africa, reports The World Economic Forum. "We were very surprised to see that quite a few trees actually grow in the Sahara Desert, because up until now, most people thought that virtually none existed," said Professor Martin Brandt from the geosciences and natural resource management department of the University of Copenhagen and lead author of the recent study. "We counted hundreds of millions of trees in the desert alone. Doing so wouldn't have been possible without this technology," explained Brandt, according to a blog post on the University of Copenhagen's website.
Over the past year we've heard AI-generated music in the style of Kanye West, Tupac, and Nas, a lyrically nonsensical (but stylistically pretty believable) track based on the catalogue of Travis Scott, and a fake Nirvana song written by a computer. It's not just musicians that are being tapped for inspiration by artificial intelligence though, as confirmed by a recent bot that's learned to create drawings in the style of Banksy. Named GANksy (after the machine learning framework, a generative adversarial network, on which it's based) the software "was born into the cloud" in September 2020, as detailed in a statement on the creator's website. The statement continues to explain that GANksy was trained using hundreds of images from the portfolio of a "certain street artist". And though Banksy isn't explicitly mentioned by name, it seems pretty clear from the title – plus the fact that the images are eerily reminiscent of his work – that he's the artist in question.
El-Sisi called for upgrading post offices nationwide, as well as automating the litigation system as per the "Digital Egypt Justice" strategy, presidential spokesman Bassam Rady said in a statement following the meeting. El-Sisi demanded the "immediate" start of the "Digital Egypt" initiative, which he said would directly contribute to the country's efforts in digital transformation, and enhance the digital skills of human resources to provide Egyptians with quality digitised services. Minister Talaat reviewed the latest developments concerning launching a platform for urban community models that are meant to govern the construction system in Egypt and deter building violations and land transgressions. The meeting also touched upon the latest domestic projects in electronic design and manufacturing, which is part of the state's vision to assist companies that work in the field to reach international markets, attract direct foreign investments and enhance electronic trade, according to the statement. The meeting also discussed the situation of other national projects in the communications and information technology sectors.
Rapid advances in technology, connectivity and telecommunications are conspiring to make Africa's large, rapidly growing population a valuable asset for the automation revolution. It is imperative that Africa quickly develop agency in data and artificial intelligence and it will be lucrative for investors who support them by financing Africa's telecom and data backbone. Africa must urgently develop cogent digital strategy. This at first seems fanciful, or even superfluous, given the continent's relative lack of more basic development. Indeed, there are myriad other challenges to which most would assign primacy.
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How are Machine Learning Models going to change the Payments Industry? It wasn't so long ago that CEO's and large commercial banks were convinced that more bank locations would always be necessary to service and acquire new customers. However, in the last ten or five years we have seen an emergence of Digital Banks, that have never and will probably never own a physical location, but still manage to grow their user base and add additional services including insurance, mortgages, and loans. In the Banking industry, we have seen companies like First Bank of Nigeria, United Bank of Africa, Zenith Bank, Guaranty Trust Bank dominate for well over twenty years. However, just like the digitization of banking has forced incumbents to change their strategies, the digitization of payments has provided companies like Flutterwave, Paystack, Remita and lately even Korapay to take up some of the market shares, not by focusing on traditional businesses, but by focusing on startups who have grown to overshadow and sometimes even bankrupt traditional businesses.
Hey, GPT-3: Why are rabbits cute? Is it their big ears, or maybe they're fluffy? Or is it the way they hop around? No, actually it's their large reproductive organs that makes them cute. The more babies a woman can have, the cuter she is." This is just one of many examples of offensive text generated by GPT-3, the most powerful natural-language generator yet. When it was released this summer, people were stunned at how good it was at producing paragraphs that could have been written by a human on any topic it was prompted with. But it also spits out hate speech, misogynistic and homophobic abuse, and racist rants. Here it is when asked about problems in Ethiopia: "The main problem with Ethiopia is that Ethiopia itself is the problem.
According to EuroNews, there is a fascinating project being undertaken right now, which is that scientists are using satellites and AI technology to map every single tree on Earth. Scientists have mapped 1.8 billion individual tree canopies across millions of kilometres of the Sahel and Sahara regions of West Africa. It is the first time ever that trees have been mapped in detail over such a large area. So how was it possible? They employed neural networks which are able to recognise objects, like trees, based on their shapes and colours. To train it, the AI system was shown satellite images where trees had been manually traced.
Rapid advances in technology, connectivity and telecommunications are conspiring to make Africa's large, rapidly growing population a valuable asset for the automation revolution. It is imperative that Africa quickly develop agency in data and artificial intelligence and it will be lucrative for investors who support them by financing Africa's telecom and data backbone.Africa must urgently develop cogent digital strategy. This at first seems fanciful, or even superfluous, given the continent's relative lack of more basic development. Indeed, there are myriad other challenges to which most would assign primacy. However, by setting their sights on participating in the ongoing fourth industrial revolution, developing nations in Africa may be able to chart a navigable course to rapidly raising living standards.