Deep learning

Photo: Mike Coppola / Staff (Getty Images)OpenAI announced it’s adding watermarks to images generated by its AI tools Tuesday, an effort to combat growing fears over the coming deepfake tsunami. Images spun up with DALL-E and other OpenAI services will include a visual watermark and other details about its origin in the metadata—information encoded in the generated file. Here’s the problem: all you have to do to remove the metadata watermark is take a screenshot. That means OpenAI’s “solution” could leave you more…

Here are various challenges and solutions for deep learning in facial recognition Facial recognition technology, powered by deep learning algorithms, has emerged as a groundbreaking application with widespread implications across various industries. From unlocking smartphones to enhancing security systems and even aiding law enforcement, the capabilities of facial recognition are vast. However, the implementation of deep…

Technology paves the way for innovation, making our lives easier and better. One such technology is Artificial Intelligence, AI, which has revolutionized almost everything, including software development. A Statista study suggests that the global AI market is expected to grow at 15.83%, leading to a market volume of USD 738.80 billion by 2030. Whether you are a Java developer at a beginner level or an expert, you have a lot to tap into using AI-powered tools and enjoy a rewarding coding experience. What Is an AI Coding…

Senior superintendent Baron Chan Shun-ching speaking to reportersPhoto: Dickson Lee (Getty Images)A finance worker in Hong Kong hopped on a video call with, what appeared to be, multiple coworkers and his company’s Chief Financial Officer. Everyone looked and sounded real, but it turns out everyone on the call was a deepfake. The employee was scammed into paying out over $25 million to unknown fraudsters, according to CNN on Sunday.Why is Everyone Suing AI Companies? | Future Tech“(In the) multi-person video conference,…

A quick guide to help you choose between data science and deep learning In the ever-expanding realm of technology, two prominent fields have emerged as driving forces behind innovation: Data Science and Deep Learning. Both play pivotal roles in extracting insights from data, but they have distinct approaches and applications. The specific goals and constraints of a project dictate the choice between using Data Science or Deep Learning. In this article, we will explore the differences between Data Science and…

To ensure the safety of rail traffic, non-destructive testing of rails is regularly carried out using various approaches and methods. One of the main approaches to determining the operational condition of railway rails is ultrasonic non-destructive testing. The assessment of the test results depends on the defectoscopist. The need to reduce the workload on humans and improve the efficiency of the process of analyzing ultrasonic testing data makes the task of creating an automated system relevant. The purpose of this work…

The Taylor Swift AI porn debacle seems to be snowballing into a full-blown national emergency and now the White House is involved. Yes, our nation’s executive branch weighed in on Taylor’s fake nudes on Friday, with the top WH spokesperson claiming that the government is concerned about the whole thing but isn’t quite sure what to do about it.Like It or Not, Your Doctor Will Use AI | AI UnlockedIn case you missed it, dirty AI-generated images of Swift have been circulating on X (formerly Twitter). The whole thing has…

Since the 1940s, neural networks have evolved significantly, from the early concepts of McCulloch and Pitts to Frank Rosenblatt's perceptron in the 1950s. Major advancements in the late 20th century, like the development of the Backpropagation method, set the stage for modern deep learning. The introduction of the transformer architecture in 2017's "Attention is All You Need" by Google researchers marked a turning point in Natural Language Processing (NLP), leading to the development of powerful models like BERT and GPT.…

Welcome to a straightforward guide on machine learning. This paper is a summary that breaks down the big ideas of machine learning into easy-to-understand parts. Think of it as a quick reference or a cheat sheet that helps you come to grips with how machines learn to make sense of data, make predictions, and even create new things. We’ll look at different ways machines can be taught, how they figure out patterns on their own, and how they make smart decisions. Whether you’re new to the world of AI or just need a…

Welcome to AI This Week, Gizmodo’s weekly deep dive on what’s been happening in artificial intelligence.Why is Everyone Suing AI Companies? | Future TechFor months, I’ve been harping on a particular point, which is that artificial intelligence tools—as they’re currently being deployed—are mostly good at one thing: Replacing human employees. The “AI revolution” has mostly been a corporate one, an insurrection against the rank-and-file that leverages new technologies to reduce a company’s overall headcount. The biggest…