Articles about Deep Learning

OpenAI has just announced GPT-4.5! While the company says the model is its most advanced AI yet, there’s definitely more to this release than meets the eye. Version 4.5 is a clear warning for anyone betting against OpenAI, including Elon Musk.

GPT-4.5 is being labeled a “research preview,” meaning OpenAI is still testing its strengths and weaknesses. With that said, it is apparently smarter, more natural in conversations, and better at avoiding mistakes than previous models. That could signal big trouble for xAI’s Grok, which Musk has been pushing as an alternative to OpenAI’s models.

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In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples.

Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch.

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Covering one of the most important subjects to our society today, Deep Learning Approaches to Cloud Security delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts.

Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in different areas like automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delay in children. However, applying deep learning techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization.

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Google has decided to make Magika open source, but what exactly is it? Well, it is an innovative AI-powered system that the search giant designed to revolutionize the way binary and textual file types are identified. Magika stands out for its ability to deliver precise file identification within milliseconds, even when operating on a CPU.

Magika employs a custom, highly optimized deep-learning model that has been meticulously designed and trained using Keras. This model is remarkably lightweight, weighing in at just about 1MB. For inference, Magika utilizes Onnx as an engine, ensuring that files are identified swiftly, almost as quickly as non-AI tools, even on a CPU.

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New research from O'Reilly, looking at the most sought-after technology topics consumed by the 2.8 million users on its online learning platform, shows that there's been a 42 percent increase in interest in AI.

Interest in deep learning showed a 23 percent increase. Developers also increasingly searched for content related to transformers -- the AI model that's led to tremendous progress in natural language processing -- reflecting the impact of advancements in Open AI's GPT-3 and ChatGPT and the anticipation for upcoming offerings from Google, Meta, and others.

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Artificial Intelligence (AI) has been a hot topic for a long time, but its impact on our society and in the enterprise are just beginning to be realized. AI and other forms of machine learning and deep learning will revolutionize business, automating repetitive tasks and accelerating outcomes -- all based on huge sets of data.

Developing deep learning applications generally follows a three-step process of:

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Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.

Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You’ll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models.

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With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning.

This book is designed to help you if you're a beginner looking to work on deep learning and build deep learning models from scratch, and you already have the basic mathematical and programming knowledge required to get started.

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Sometimes technology can be very exciting. Look, we all love when a sleek and sexy new device -- such as a smartphone or laptop -- is shown off at a keynote. Remember when the original MacBook Air was first revealed? I get chills. And yeah, everyone wants the latest and greatest flashy product. The truth, however, is we don't always need exciting. Sometimes we need affordable and unremarkable products that simply exist to get work done.

The Dynabook E10-S Windows 10 Pro Education laptop is such a product, and you can buy it from the company starting today. The computer is fabulously unremarkable, and yes, that's a good thing. You see, this laptop is designed for schoolwork -- not gaming or other hardcore computing.

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A Freedom of Information Act (FOIA) request by the American Civil Liberties Union (ACLU) shows that Amazon has started selling facial recognition software to at least two US law enforcement agencies.

A report published by the ACLU shows that the online retailer has been advertising its facial recognition system -- known as Amazon Rekognition, and described as "deep learning-based image and video analysis" -- to numerous states. Testimonials from the Orlando, Florida Police Department and the Washington County Sheriff’s Office in Oregon suggest that the system is already in use.

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