Introducing quantum convolutional neural networks

Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics ...

Machine learning tracks moving cells

Both developing babies and elderly adults share a common characteristic: the many cells making up their bodies are always on the move. As we humans commute to work, cells migrate through the body to get their jobs done. Biologists ...

Artificial intelligence helps design an ultra-aerodynamic bike

Thanks to software developed by Neural Concept, an EPFL spin-off, bicycle engineers can quickly calculate the most aerodynamic shape for a bike. The software – which is being presented in Stockholm today at the International ...

Capacitor-based architecture for AI hardware accelerators

IBM is reaching beyond digital technologies with a capacitor-based cross-point array for analog neural networks, exhibiting potential orders of magnitude improvements in deep learning computations. Analog computing architectures ...

Training artificial intelligence with artificial X-rays

Artificial intelligence (AI) holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have ...

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