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How Visual Cortex inspired the Convolutional Neural Networks

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Introduction Since the 1960s, after the successful development (at least with respect to the existing technologies of that time) of the first perceptron by Frank Rosenblatt, researchers around the world have been trying to make computers more brain-like. In other words, they are constantly trying to develop programs and hardware that work much like our brains. However, creating a machine that thinks and programs like a human brain is still impossible, given the limitations of present technologies. But, we are successful in this direction up to an agreeable extent. The perceptron developed by Rosenblatt can be considered one of the first implementations of neural networks. It was a huge hardware model, rather than a Python program like today's perceptrons.  Rosenblatt's perceptron was a simple binary input-output system, with various limitations. It was not trainable for different patterns, rather but for simple image recognization. The major drawback was its inability to perfo...
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Introduction: Whenever we start thinking about the universe and laws of nature that drive this beyond the imagination world, the first question stuck in our mind is, ‘How was the universe born?’ A few decades ago, this question was considered one of the most challenging questions to answer for the science community. But today, after a series of theories and predictions, we have indeed answered this up to a certain extent. The Big Bang Theory, a very famous term we all are familiar with. But what exactly is the Big Bang? And what happened during the formation of the universe? You will find the answers very soon. Singularity and the Big Bang Model: Big Bang theory is considered one of the most accurate theories for the birth of the universe. The theory is based on the equations of general relativity. According to Big Bang, initially, the universe was a highly dense energy state. The density and temperature of this initial energy state are beyond the imagination of humanity. The origin of...
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Deep Neural Networks for ADMET properties' prediction

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Introduction The absorption, distribution, metabolism, excretion and toxicity properties of any compound contributes to its potential as an orally administered drug. A set of criteria defined by Rule of Five or the Pfizer's Rule of Five stats that any compound meeting these criteria are more likely to have ADMET properties. The importance of these properties has increased in modern medicinal chemistry and new machine learning techniques are employed to predict these properties. The predictive ADMET models have helped in discovery of small molecules with improved safety and dose. Deep Neural Networks are showing usefulness in such predictions due to improved computational efficiency, larger datasets and adaption of image processing in the chemistry. Early Models The early DNNs employed showed improved prediction performance. Many researchers raised concerned that this improvement is in fact has no relation with better computational capacity, rather it is result of mere memorizing of...
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Monitoring Corals using AI

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Corals are one of the most diverse marine species, that play a vital role in the marine ecosystem. Because of such a diverse colony, coral reefs are therefore known as the "rainforest of the ocean". According to NOAA , about 25% of the ocean's fish depend on coral reefs for food, shelter, and reproduction. Reefs are also a source of many medicines. They protect coasts from erosion and even help in their recreation. NOAA also claims that around half a billion people depend on corals and a separate study from United Nations stated that the corals are estimated to be worth more than ten billion per year. This clearly shows that corals are an important component of the ecosystem. However, due to recent changes in the climate due to global warming and irregularities in the oceanic water temperature, the corals are at a great threat. The rising ocean temperature, increasing marine pollution, and uncontrolled fishing have severely damaged the coral ecosystem. Increasing events o...
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