Digital forensics pioneer Hany Farid explains what it will take to rebuild trust in the deepfake era ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Abstract: In Internet of Things (IoT)-based collaborative surveillance systems, communication links are frequently disrupted due to Unmanned Aerial Vehicle (UAV) node failures and rapid changes in ...
This piece of codes leverages deep reinforcement learning in stock portfolio management. The reward for agents is the net unrealized profit evaluated at each action step - the stocks are still in ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Abstract: This paper presents novel methods for tuning inverter controller gains using deep reinforcement learning (DRL). A Simulink-developed inverter model is converted into a dynamic-link-library ...
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