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Brazilian actor Rodrigo Santoro, well-known for featuring in projects such as Love Actually (2003), 300 (2006), Rio (2011), 300: Rise of an Empire (2014) and Westworld, has been in Hollywood for several years now. But he reveals that, as a Latino, he has struggled to find his way through the industry. That’s why he feels the conversation around inclusivity in the West is not just important, but also very much needed at this hour.“It is so important that we are finally discussing diversity, inclusivity, feminism and…

Residual block, first introduced in the ResNet paper solves the neural network degradation problemFigure 0: Real Life Analogy of Degradation in Deep Neural Networks as they go deeper (Image by Author)Deep neural networks are the powerhouse of major machine learning algorithms. These neural networks are a collection of stacked layers (each layer has some neurons) which combined perform the given task. So as we stack more layers together, i.e. going deeper or increasing the depth of the model, we look forward to increasing…

Judi Dench has revealed a harsh audition experience that delayed her lead film role debut by 30 years.The actor was a star of theatre, with a small number of TV roles to her name, in the 1960s. But she decided to auditon for a film after her agent secured her time in front of a director.“He was perfectly nice, but at the end he said, ‘You’ll never make a film; you have the wrong face,’” Dench told The Sunday Times in a new interview.“And I said that is fine, I don’t like film anyway. I want to go back to the…

A deep dive into the basic cell of many neural networks.Figure 0: Sparks from the flame, similar to the extracted features using convolution (Image by Author)In this era of deep learning, where we have advanced computer vision models like YOLO, Mask RCNN, or U-Net to name a few, the foundational cell behind all of them is the Convolutional Neural Network (CNN)or to be more precise convolution operation. These networks try to solve the problem of object detection, segmentation, and live inference which leads to many…

Dropout layers have been the go-to method to reduce the overfitting of neural networks. It is the underworld king of regularisation in the modern era of deep learning.In this era of deep learning, almost every data scientist must have used the dropout layer at some moment in their career of building neural networks. But, why dropout is so common? How does the dropout layer work internally? What is the problem that it solves? Is there any alternative to dropout?Figure 0: Indian Jharokhe, dropping out some light (Image by…

At Rivian RIVN -5.48% Automotive Inc.’s factory in Normal, Ill., life is anything but.Car factories around the world routinely churn out models around the clock. About eight months after production on Rivian’s electric trucks started, executives recently marked a milestone in uninterrupted work days: The company’s plant ran at full speed for an entire 10-hour work shift for the first time. Rivian, which investors see as the Tesla Inc.…

Climate scientists at the United Nations believe it's “now or never” to prevent catastrophic temperature rises and the disintegration of the climate systems that support life. Reports of bomb-like blizzards and scorching droughts provide a dreadful image of climate change's potential reality. Huge climatic swings are nothing new, they have historically been extremely destructive. Moreover, humans' current insatiable hunger for fossil fuels is causing a rapid swing that could have severe repercussions for civilisation. In…

Airbnb Inc. ABNB 0.65% plans to close its domestic business in China after harsh Covid-19 lockdowns compounded the pain from mounting local competition, according to people familiar with its decision. Bookings of stays and experiences in China typically account for about 1% of Airbnb’s overall revenue, the people said. The home-sharing company is a small competitor in China’s travel industry. It had more than 500,000…

Winter is coming, at least to the Red Planet. And part of preparing for this tumultuous time on Mars means preparing the Ingenuity helicopter for the freezing temperatures. After losing connection with the Mars helicopter for a short time, NASA has engineered a new plan that should help it survive the Martian winter. NASA’s Ingenuity helicopter missed a communication check-in From NASA’s blog: “This image of Mars was taken from the height of 33 feet (10 meters) by NASA’s Ingenuity Mars helicopter during its…