neural networks

AI facial recognition uses advanced neural networks to convert images into numerical data and identify patterns. Numerous industries are using AI facial recognition today, including healthcare and security. So how do these algorithms process facial features?  How AI Facial Recognition Works AI facial recognition applies the neural network capabilities of computer vision machine learning to identify facial features. Computer vision or image recognition algorithms are trained to distinguish certain types of images or…

Sohl-Dickstein used the principles of diffusion to develop an algorithm for generative modeling. The idea is simple: The algorithm first turns complex images in the training data set into simple noise—akin to going from a blob of ink to diffuse light blue water—and then teaches the system how to reverse the process, turning noise into images.Here’s how it works: First, the algorithm takes an image from the training set. As before, let’s say that each of the million pixels has some value, and we can plot the image as a dot…

What a difference seven days makes in the world of generative AI.Last week Satya Nadella, Microsoft’s CEO, was gleefully telling the world that the new AI-infused Bing search engine would “make Google dance” by challenging its long-standing dominance in web search. The new Bing uses a little thing called ChatGPT—you may have heard of it—which represents a significant leap in computers’ ability to handle language. Thanks to advances in machine learning, it essentially figured out for itself how to answer all kinds of…

Each evaluation is a window into an AI model, Solaiman says, not a perfect readout of how it will always perform. But she hopes to make it possible to identify and stop harms that AI can cause because alarming cases have already arisen, including players of the game AI Dungeon using GPT-3 to generate text describing sex scenes involving children. “That’s an extreme case of what we can’t afford to let happen,” Solaiman says.Solaiman’s latest research at Hugging Face found that major tech companies have taken an…

Expedia Group™️ acts as a booking agent for all sorts of travel. An issue we’ve wrestled with is when a hotel (or vacation rental, activity, etc.) shares public contact information through our platform that allows for direct booking. This act violates our service agreements, and we must detect if it happens. Furthermore, this mechanism needs to scale to review an ongoing stream of data generated by bookings, website updates, client updates, etc. This is not a unique problem in the travel industry. It can be…

When ChatGPT—the ingenious, garrulous, and occasionally unhinged chatbot from OpenAI—was asked this week how much the company behind it is worth, its responses included: “It is likely that its worth is in the hundreds of millions of dollars, if not more.”Microsoft, which is rumored to be weighing a $10 billion investment in OpenAI on top of an earlier $1 billion commitment, is betting that the company is worth a lot more—despite the fact neither ChatGPT nor other AI models made by OpenAI are yet raking in huge amounts of…

A mouse is running on a treadmill embedded in a virtual reality corridor. In its mind’s eye, it sees itself scurrying down a tunnel with a distinctive pattern of lights ahead. Through training, the mouse has learned that if it stops at the lights and holds that position for 1.5 seconds, it will receive a reward—a small drink of water. Then it can rush to another set of lights to receive another reward.This setup is the basis for research published in July in Cell Reports by the neuroscientists Elie Adam, Taylor Johns and…

So neuroscientists use an approach called “dimensionality reduction” to make such visualization possible—they take data from thousands of neurons and, by applying clever techniques from linear algebra, describe their activities using just a few variables. This is just what psychologists did in the 1990s to define their five major domains of human personality: openness, agreeableness, conscientiousness, extroversion, and neuroticism. Just by knowing how an individual scored on those five traits, they found, they could…

For a decade now, many of the most impressive artificial intelligence systems have been taught using a huge inventory of labeled data. An image might be labeled “tabby cat” or “tiger cat,” for example, to “train” an artificial neural network to correctly distinguish a tabby from a tiger. The strategy has been both spectacularly successful and woefully deficient.Such “supervised” training requires data laboriously labeled by humans, and the neural networks often take shortcuts, learning to associate the labels with minimal…

What Is Computer Vision? Computer vision (CV) is a major task for modern Artificial Intelligence (AI) and Machine Learning (ML) systems. It is accelerating almost every domain in the industry, enabling organizations to revolutionize the way machines and business systems work. Academically, it is a well-established area of computer science, and many decades' worth of research work have gone into this field to make it rich. The use of deep neural networks has recently revolutionized the field and given it new life. There is…