AI technology can possibly change all industries globally, and one of the field’s pioneers divulged today another startup he’s beginning, bringing AI to manufacturing. Andrew Ng, who helped begin the Google Brain venture and earlier filled in as the leader of Baidu’s AI endeavors, declared Landing.ai, an organization aimed at helping companies in the assembling division change themselves into AI organizations. Ng picked fabricating on the grounds that it has various issues that machine learning systems can help with, and AI can potentially change the business in drastic ways.
Ng says “I am interested in manufacturing in particular because it touches so much of our everyday lives—essentially, I see it as a way to bring a digital transformation to the physical world. There are all these decisions that AI, machine learning, can make in a much more systematic way.”
At a press conference in San Francisco, two days before Ng’s Landing.ai was presented, he exhibited a case of utilizing AI for visual examination in a plant’s quality control endeavors. In numerous processing plants, laborers investigate mechanical production system parts falling for imperfections. Ng demonstrated a video in which a laborer instead put a circuit board underneath a computerized camera associated with a PC, and the PC recognized a deformity in the part. Ng said that while average PC vision frameworks may require a large number of test pictures to end up “trained,” Landing.ai’s framework would take just five training pictures, making it simpler to adjust to various tasks in a plant.
At this moment, his new startup is seeking a modest group of early customers, with an emphasis on organizations in the U.S., Japan, and China. One of its key early clients is Foxconn, a Chinese manufacturing giant that fabricates iPhones, among numerous different items. Ng wasn’t prepared to reveal Landing.ai’s fundraising exercises, yet he said the organization has had no deficiency of offers from financial specialists. Looking toward the future, Ng said Landing.ai could move into different segments, similar to logistics, and in addition giving more public education resources to enable a more extensive populace to receive new devices.