AI news

Various connected devices, such as internet-of-things (IoT) devices and sensors in automobiles, rely on microcontrollers, miniature computers that can execute simple commands. Microcontrollers with limited memory and no operating system, however, make it difficult to train artificial intelligence models on edge devices that are independent of central computing resources due

According to scientists, more than 95 percent of Earth's oceans have never been observed, meaning we know less about its oceans than we do about the surface of the moon or Mars. A major obstacle to widespread underwater exploration is the high cost of powering an underwater camera

Researchers at Cornell University have integrated electronic brains into solar-powered robots that range in size from 100 micrometers to 250 micrometers. Because they are smaller than an ant's head, they can walk autonomously without being controlled externally. Although Cornell researchers have previously developed microscopic machines capable of crawling,

Human object perception is characterized by its sensitivity to the holistic configuration of the local shape features of an object. At present, deep convolutional neural networks (DCNNs) are the dominant models for the recognition of objects in the visual cortex. However, do they capture this configural sensitivity? For answering this

Researchers have made progress toward machine-learning algorithms that can aid physicians in rapidly locating patient health record information. The cumbersome nature of electronic health records makes it difficult for physicians to search for information that can help them make treatment decisions. Even when doctors are properly trained to use an

There is no doubt that hands-on exhibits are a staple of science and children's museums around the world and that kids love them. Through the exhibits, children are invited to explore scientific concepts in a fun and interactive manner. But do they actually teach kids anything? Children need