Extreme Learning Machines (ELM) provide efficient unified solutions to generalized feedforward networks including but not limited to feedforward neural networks and kernel learning. ELM possesses unique features to deal with regression and (multi-class) classification tasks. Consequently, ELM offers significant advantages such as fast learning speed, ease of implementation, and least human intervene. ELM has good potential as a viable alternative technique for large-scale computing and artificial intelligence.