Deep Neural Networks Addressing 8 Challenges in Computer Vision
But first, lets address the question, What is computer vision? In simple terms, computer vision trains the computer to visualize the world just like we humans...
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Text Annotations in the News Industry
In the media and communication industry, writers are frequently confronted with huge volumes of textual material. They are having significant difficulty extracting struct...
About Deep learning as subset of machine learning and AI
Deep learning has wide application in artificial intelligence and computer vision backed programs. Across the world, machine learning has added more value to a range of t...
Feedforward Neural Networks
Deep learning technology has become indispensable in the domain of modern machine interaction, search engines, and mobile applications. It has revolutionized modern techn...
Why we shouldn’t expect a metaverse anytime soon (Part I of II)
Castaneda, Eduardo. Carl Sagan with the planets. 1981. Photograph. https://www.loc.gov/item/cosmos000104/. (Photo taken on the set of the TV show Cosmos.) The Metaver...
Career Opportunities in Blockchain and The Top Jobs You Need to Know
Blockchain expertise is one of the fastest-growing skills and demand for blockchain professionals is picking up momentum in the USA. Since crypto-currencies are doing wel...
Binding Cloud, PLM 2.0, and Industry 4.0 into cohesive digital transformation
In the environment of Industry 4.0, the role of PLM is expanding. The interplay between PLM and Industry 4.0 technologies – like the Internet of Things (IoT), Big D...
Responding to Supply Chain Uncertainty with Intelligent Planning
Supply chain disruptions are anything but uncommon. 2018 saw 2,629 disruption events being reported.[i] In 2019, 51.9% of firms experienced supply chain disruptions, with...
New Study Warns: Get ready for the next pandemic
A new study warns were likely to see another major pandemic within the next few decades. New database of pandemic info used to calculate increased probability. A majo...
Understanding Self Supervised Learning
In the last blog, we discussed the opportunities and risks of foundational models. Foundation models are trained on a broad dataset at scale and are adaptable to a wide r...