We witness more and more artificial intelligence applications in financial services in the post-pandemic era. With the help of artificial intelligence, the banking and...
Baron Münchhausen
Oh, what a tangled web we weave
When first we practice to deceive.
~ Walter Scott
One of the most famous liars in history was a man...
As the European Investment Fund commits €250 million with five equity funds to mobilize €2.5 billion of climate action and environmental sustainability investment across...
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The frontrunner cryptocurrency Bitcoin has been keeping investors in a state of...
AI-powered semi-automated offside technology (SAOT) is deployed for the 2022 World Cup in Qatar. FIFA has been testing SAOT for the past three years,...
Artificial Intelligence (AI) and Machine Learning (ML) technologies have the potential to drastically revolutionize many industries. But AI and ML have an Achilles heel...
Alternative finance (alt-fi) has steadily grown as a viable payment method in the e-commerce ecosystem. According to a
report from Cambridge Judge Business School, in...
Home > Press > Predicting the device performance of the perovskite solar cells from the experimental parameters through machine learning of existing experimental...