Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces.

In machine learning scenarios, the RBF kernel function is the most common (at least, based on my experience), and is the one used by the demo program. Other, less commonly used kernel functions ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Yenming J. Chen, Yeong-Cheng Liou, Wen-Hsien Ho, Jinn-Tsong Tsai, Chia-Chuan Liu, Kao-Shing Hwang, Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet ...