 cars and trucks may replace all or some taxi and truck drivers because chips with image recognition will detect vehicles and pedestrians on roads as well as traffic signals and signs. At Amazon warehouses, automation enables robots to take products off shelves and give them to employees to package for shipping. The robots retrieve four times as many products hourly as employees. Speech recognition systems from Nuance recognize words based on previously learned patterns of frequencies. Nuance software for individuals and businesses is programmed to recognize spoken words. Nuance also develops specialized applications such as one used by Radiologists to write reports. Home digital assistants such as Amazon's Echo and Alphabet's Google Home respond to users' spoken commands based on data previously collected. Banks use machine learning to track and investigate anomalies in claims and transactions to find fraudulent activities. The military deploys robots to find and defuse unidentified explosives SO that personnel are not injured. Machine learning enabled by powerful chips already has a major impact on work and job efficiency. Machine learning will continue to affect jobs that involve repetitive tasks and those needing stored information to make decisions. PACKETIZED DATA All Internet traffic, and the vast majority of high-speed data network traffic, is sent in packets. And increasingly, traffic that carries residential traffic in neighborhoods is also arranged in packets. Putting data into packets is analogous to packaging it in envelopes. Packet switching was developed by Rand Corporation in 1962 for the United States Air Force and utilized in 1969 in the Advanced Research Projects Agency (ARPANET) of the Department of Defense. ARPANET was the precursor to today's Internet. The Department of Defense wanted a more reliable network with route diversity capability. Developers envisioned greater reliability with packet switching in the ARPANET, where all locations could reach one another. www.TechnicalPDF.com Packet 