When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.
Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...
The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed them to steal the company’s source code and customer information. In a ...
Add Yahoo as a preferred source to see more of our stories on Google. Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed ...
Abstract: Permutation codes are extensively studied because of applications such as frequency-shift keying modulation for power line communication (PLC). In PLC ...
The Secret Service discovered more than 100,000 SIM cards and 300 servers, which could disable cellular towers or be used to conduct surveillance. By Eileen Sullivan Reporting from Washington The ...
The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, advancements ...
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 ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
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