Ramnath Kumar, Pre-Doctoral Researcher, and Arun Sai Suggala, Research Scientist, Google Research Deep neural networks (DNNs) have become essential for solving a wide range of tasks, from standard supervised learning (image classification using ViT) to meta-learning. The most commonly-used paradigm for learning DNNs is empirical risk minimization (ERM), which aims to identify a network that…
A wearable exoskeleton can help runners increase their speed by encouraging them to take more steps, allowing them to cover short distances more quickly. While previous studies have focused on how wearable exoskeletons can help people reduce the energy they expend while running, the new study, published today in Science Robotics, examines how wearable robots…
In the mid-1980s, composer Tod Machover came across a copy of Philip K. Dick’s science fiction novel “VALIS” in a Parisian bookstore. Based on a mystical vision Dick called his “pink light experience,” “VALIS” was an acronym for “vast active living intelligence system.” The metaphysical novel would become the basis for Machover’s opera of the…
Generative AI, which is currently riding a crest of popular discourse, promises a world where the simple transforms into the complex — where a simple distribution evolves into intricate patterns of images, sounds, or text, rendering the artificial startlingly real. The realms of imagination no longer remain as mere abstractions, as researchers from MIT’s Computer…
Posted by Michał Januszewski, Research Scientist, Google Research The human brain is perhaps the most computationally complex machine in existence, consisting of networks of billions of cells. Researchers currently don’t understand the full picture of how glitches in its network machinery contribute to mental illnesses and other diseases, such as dementia. However, the emerging connectomics…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Friday marked six months since the Future of Life Institute (FLI), a nonprofit focusing on existential risks surrounding artificial intelligence, shared an open letter signed by famous people such as Elon Musk,…
Computer vision systems are everywhere. They help classify and tag images on social media feeds, detect objects and faces in pictures and videos, and highlight relevant elements of an image. However, they are riddled with biases, and they’re less accurate when the images show Black or brown people and women. And there’s another problem: the…
Getty Images is so confident its new generative AI model is free of copyrighted content that it will cover any potential intellectual-property disputes for its customers. The generative AI system, announced today, was built by Nvidia and is trained solely on images in Getty’s image library. It does not include logos or images that have…
In one of the biggest updates to ChatGPT yet, OpenAI has launched two new ways to interact with its viral app. First, ChatGPT now has a voice. Choose from one of five lifelike synthetic voices and you can have a conversation with the chatbot as if you were making a call, getting responses to your…
Posted by Cheng-Yu Hsieh, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team Large language models (LLMs) have enabled a new data-efficient learning paradigm wherein they can be used to solve unseen new tasks via zero-shot or few-shot prompting. However, LLMs are challenging to deploy for real-world applications due to their sheer size. For…