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In the last decade, the finance industry has seen an infusion of cutting-edge technologies like never before. This transformation is largely attributed to many startups that appeared on the scene post 2008 recession and followed a technology-first approach to create financial products and services with a target to improve customer experience. FinTech, as these startups are known, have been the early adopters of the new technologies like Smartphones, Big Data, Machine Learning (ML), Blockchain and were considered the trendsetters that were later followed by more traditional banks and financial institutes.

The recent advancements in machine learning and deep learning has really pushed the boundaries of computer vision and natural language processing. FinTechs are leaving no stones unturned to capitalize on these breakthroughs to improve financial services. As per a report, the ML Fintech market was valued at $7.27 billion in 2019 and it is expected to grow to $35.40 billion by 2025. Statista forecasts that the entire banking industry overall will be able to derive the business value of  $182 billion globally with machine learning by the year 2025.

Source de l’article sur DZONE

The prospect of monitoring our health and wellbeing from inside the home is one of the more fascinating developments in health technology. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has made a fascinating breakthrough that might allow them to capture this data through walls.

Their work, which is known as RF-Pose, utilizes AI to allow wireless devices to monitor and understand people’s postures and movements, even when a wall separates them. A neural network has been developed to analyze radio signals that bounce off of our bodies, with the software then able to create dynamic stick figures that replicate our movement.


Source de l’article sur DZONE (AI)