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.

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 ...

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.