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A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Intel reported that its Q2 revenues and profits were above expectations, as the chip giant saw significant growth in AI-related chip sales.Read More
The National Security Agency has urged top lawmakers to resist demands that it obtain warrants for sensitive data sold by data brokers.
A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Just a few years ago, Berkeley engineers showed us how they could easily turn images into a 3D navigable scene using a technology called Neural Radiance Fields, or NeRF. Now, another team of Berkeley researchers has created a development framework to help speed up NeRF projects and make this technology more accessible to others.
The program aims to help customers build and deploy custom generative AI large language models (LLMs) and generative AI applications.Read More
If music is a sport, this is the most competitive season of the year. Here are WIRED’s picks for the best tracks out right now. Who deserves the top spot?
Large neural networks, a form of artificial intelligence, can generate thousands of jokes along the lines of “Why did the chicken cross the road?” But do they understand why they’re funny?
The report is an acknowledgment of the huge financial potential of the emerging sector surrounding generative AI and related technology. Read More
Published recently in Nature Machine Intelligence, research addressed the limited availability of human annotated, or labeled, medical images by using an adversarial, or competitive, learning approach against unlabeled data.