The North Carolina Highway Patrol has three rotating artificial intelligence devices to help track down distracted commercial vehicles. North Carolina Highway Patrol reports that it has seen an uptick in distracted truck drivers, and now the agency is using artificial intelligence devices to help crack down on the safety hazard. Distracted driving killed over 3,500 people in 2021, according to the U.S. Department of Transportation. A mom who's made safe driving her passion has felt the pain from a distracted driver two separate times. "At a stop light you look around, every single person is on their phone," said Jennifer Smith, whose mother was killed by a distracted driver.

The total installed base of AI-enabled devices in industrial manufacturing is forecast to reach 15.4 million within five years, with a CAGR of 64.8% from 2019 to 2024. It's claimed that Artificial Intelligence (AI) will revolutionise the industrial manufacturing space, and in many respects that transformation has already begun. AI is already delivering generative design in product development, production forecasting in inventory management, and machine vision, defect inspection, production optimisation, and predictive maintenance in the production phase. "AI in industrial manufacturing is a story of edge implementation," says Lian Jye Su, principal analyst at global tech market advisory firm, ABI Research. "Since manufacturers are not comfortable having their data transferred to a public cloud, nearly all industrial AI training and inference workloads happen at the edge, namely on device, gateways and on-premise servers."

The world of artificial intelligence is changing, adapting, and developing new technologies every day. Technology advancements that were once thought to be the stuff of science fiction are now commonplace; this sort of rapid technology development will only continue to grow as teams of scientists, technicians, and others working in the artificial intelligence fieldwork on new and exciting projects. The wearable AI market is predicted to rise from USD 35 billion in 2018 to around USD 180 billion by 2025, according to a 2019 Global Market Insights, Inc. report. One of the more exciting and daunting possibilities in the relatively near future is the idea that wearable artificial intelligence may someday change our lives–and our intelligence–forever. Let's take a closer look at the possibilities behind wearable AI and how it will change the world as we know it.

The software that enables these features is called Whetstone and it has been configured to allow neural computer networks to process information some 100 times more efficiently compared with current imaging standards. This enables increased use of artificial intelligence in mobile devices plus autonomous vehicles. The development comes from Sandia National Laboratories, based in the U.S. The intelligent system reduces the amount of circuitry needed to perform autonomous tasks. According to lead researcher, neuroscientist Brad Aimone: "Instead of sending out endless energy dribbles of information...artificial neurons trained by Whetstone release energy in spikes, much like human neurons do." The circuits are formed of artificial neurons, and these are essentially capacitors capable of absorbing and summing electrical charges.

A new type of spiking tool has been shown to improve artificially intelligent devices.

An artificial intelligence device that can detect diabetic eye problems has been approved by The Food and Drug Administration (FDA) of the United States. It allows the doctors to diagnose the condition without the need for any data or images. An artificial intelligence algorithm is used by the device to analyze images of the eye, taken with a retinal camera Topcon NW400. The image is then uploaded to a cloud server on which IDx-DR software is installed. The IDx-DR software scans the image and subsequently responds to the condition of the patient's eye.