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Innovation to Impact: How NVIDIA Research Fuels Transformative Work in AI, Graphics and Beyond

NVIDIA

Making Ray Tracing a Reality Once NVIDIA Research was founded, its members began working on GPU-accelerated ray tracing, spending years developing the algorithms and the hardware to make it possible. It happened before we had a formal research group, but it happened because we hired top researchers and had them work with top architects.

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Automating Words: How GRUs Power the Future of Text Generation

Towards AI

The text-generation process involves utilizing algorithms and models to generate the written content based on the given input, for instance, it can be a prompt, a set of keywords, or even a specific context. They’re called Gated Recurrent Units, and they’re basically an upgraded type of neural network that came out in 2014.

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The Dezeen guide to AI

Flipboard

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. Neural networks Neural networks are found in the human brain.

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The Intuition behind Adversarial Attacks on Neural Networks

ML Review

In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input. Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing. confidence. confidence!

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

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Getting Started with AI

Towards AI

In ML, there are a variety of algorithms that can help solve problems. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system. However, this does not mean you need to code the algorithms from scratch (roll your own). 12, 2014. [3]

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Convolutional Neural Networks: A Deep Dive (2024)

Viso.ai

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications. Howard et al.