Security

Using the brain as a model inspires a more robust AI

Most artificially intelligent systems are based on neural networks, algorithms inspired by biological neurons found in the brain. These networks can consist of multiple layers, with inputs coming in one side and outputs going ...

Computer Sciences

An 'introspective' AI finds diversity improves performance

An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were ...

Telecom

Field campaign assesses vulnerabilities of 5G networks

Fifth-generation, or 5G, mobile network technology is all the hype these days. Compared to 4G, this newest way of connecting wireless devices to cellular networks is designed to provide higher data rates, ultralow latency, ...

Machine learning & AI

Simple data gets the most out of quantum machine learning

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today's noisy, intermediate-scale quantum ...

Computer Sciences

Training machines to learn more like humans do

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over ...

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