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 ...

Internet

Researchers devise algorithm to break through 'search bubbles'

When looking for a new type of book, movie, or restaurant, your search may suggest a title or venue you've already purchased or experienced. This is because the artificial intelligence tools many companies rely on push users ...

Machine learning & AI

'Raw' data show AI signals mirror how the brain listens and learns

New research from the University of California, Berkeley, shows that artificial intelligence (AI) systems can process signals in a way that is remarkably similar to how the brain interprets speech, a finding scientists say ...

Engineering

AI-designed unidirectional imagers

Traditional optical imaging and communication systems, typically composed of lenses, perform imaging operations in both forward and backward directions. Similar to a pipe that enables liquid to flow through from one end to ...

Robotics

Jellyfish-like robots could one day clean up the world's oceans

Most of the world is covered in oceans, which are unfortunately highly polluted. One of the strategies to combat the mounds of waste found in these very sensitive ecosystems—especially around coral reefs—is to employ ...

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