Computer Sciences
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. ...
Computer Sciences
The ability to estimate the physical properties of objects is of key importance for robots, as it allows them to interact more effectively with their surrounding environment. In recent years, many robotics researchers have ...
Machine learning & AI
In recent years, researchers have been trying to make artificial intelligence (AI) more transparent by developing algorithms that can explain their actions and behavior, as this could encourage greater trust in machines and ...
Machine learning & AI
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...
Computer Sciences
Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.
Engineering
Ultrasound imaging is a safe and noninvasive window into the body's workings, providing clinicians with live images of a patient's internal organs. To capture these images, trained technicians manipulate ultrasound wands ...
Jul 28, 2022
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210
Computer Sciences
UCLA and Stanford University engineers have demonstrated a computer system that can discover and identify the real-world objects it "sees" based on the same method of visual learning that humans use.
Dec 18, 2018
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606
Computer Sciences
In the last year, large language models (LLMs) have come into prominence for boasting a suite of ever-expanding capabilities including text generation, image production, and, more recently, highly descriptive image analysis. ...
Nov 17, 2023
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1
Computer Sciences
Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, ...
Nov 13, 2023
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53
Computer Sciences
Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible to build faster, smaller ...
Apr 27, 2023
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