Machine-training workarounds found to yield little advantage
An AI-infused future has tremendous promise in virtually all aspects of our lives from medicine to education, industry to finance.
An AI-infused future has tremendous promise in virtually all aspects of our lives from medicine to education, industry to finance.
As any driver knows, accidents can happen in the blink of an eye—so when it comes to the camera system in autonomous vehicles, processing time is critical. The time that it takes for the system to snap an image and deliver ...
Aug 26, 2022
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High-performance computing is needed for an ever-growing number of tasks—such as image processing or various deep learning applications on neural nets—where one must plow through immense piles of data, and do so reasonably ...
Feb 15, 2022
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The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks.
Dec 15, 2020
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Patterns appear in both natural and human made systems, but they can be difficult for humans to recognize and analyze, especially in dynamic systems like the human heart or factory machines. To address this issue, researchers ...
May 20, 2020
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Reconstructing lost art work just got a lot more interesting now that artificial intelligence experts know how to leverage technology as an art learning tool.
A company has taken the wraps off its new technology for wiping dust, snow and mist from videos, wrote a CNET contributor in Japan.
In intelligent sensing fields such as radar, machine vision and medical imaging, the critical information used for decision-making is often sparse. For example, a monosyllabic waveform requires thousands of sampling points, ...
Apr 2, 2024
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There are an estimated 280 million people in the world with debilitating levels of visual impairment. A new tool to empower them with a richer understanding of their surroundings is presented in the International Journal ...
Mar 6, 2024
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To most effectively deliver aid to alleviate poverty, you have to know where the people most in need are. In many countries, this is often done with household surveys. But these are usually infrequent and cover limited locations.
Nov 28, 2023
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