Deep Singularity: Does the World Need a new AI-based Operating System to ignite the AI Winter?

There has been tumultuous excitement in the Computer Science field surrounding the potential of applying machine learning algorithms to the commercial problems at enterprise scale over the last few decades. Solving complex conundrums and HPC at web scale will need a new enterprise-grade operating system and hardware data flow computing with ASIC or FPGA chips to minimize the data movements and maximize the shorter communication paths to reboot the fourth industrial revolution and execute more parallel instructions on a single semiconductor chip die. The data lifecycle management of IoT requires unlimited number of threads to spawn on an operating system at the same time simultaneously with guaranteed QoS. All the IoT operating systems such as Android Things, Arm Mbed OS, Embedded Apple iOS and macOS, Google Brillo, Green Hills Integrity, Nucleus RTOS, RIOT OS, RTOS, Windows, WindRiver VxWorks, or Linux targeting Raspberry Pi or BeagleBoards, Intel Edison IoT Boards, and Arduino platforms can provide the performance based on the number of cores in the machine without unlimited threads. However, regardless of an exponential increase in the hardware resources to deliver the multitasking capabilities and memory management, corporations have hit the wall on Moore's Law plagued with communication delays requiring precision programming in C and C through Open MPI and heavy parallelprogramming which does not seem to be the norm for developing regular applications.