Computer Sciences

Teaching AI to see depth in photographs and paintings

Researchers in SFU's Computational Photography Lab hope to give computers a visual advantage that we humans take for granted—the ability to see depth in photographs. While humans naturally can determine how close or far ...

Security

Hiding malware inside AI neural networks

A trio of researchers at Cornell University has found that it is possible to hide malware code inside of AI neural networks. Zhi Wang, Chaoge Liu and Xiang Cui have posted a paper describing their experiments with injecting ...

Robotics

Neuro-evolutionary robotics: A gap between simulation and reality

Neuro-evolutionary robotics is an attractive approach to realize collective behaviors for swarms of robots. Despite the large number of studies that have been devoted to it and although many methods and ideas have been proposed, ...

Computer Sciences

New machine-learning approach brings digital photos back to life

Every day, billions of photos and videos are posted to various social media applications. The problem with standard images taken by a smartphone or digital camera is that they only capture a scene from a specific point of ...

Computer Sciences

New approach found for energy-efficient AI applications

Most new achievements in artificial intelligence (AI) require very large neural networks. They consist of hundreds of millions of neurons arranged in several hundred layers, i.e. they have very 'deep' network structures. ...

Electronics & Semiconductors

Rethinking microchips' design pushes computing to the edge

Responding to artificial intelligence's exploding demands on computer networks, Princeton University researchers in recent years have radically increased the speed and slashed the energy use of specialized AI systems. Now, ...

page 9 from 23