Would you eat a burger cooked by a robot? It might not sound enticing but McDonald's claims implementing artificial intelligence (AI) in the kitchen will result in'hotter, fresher food'. The fast food giant has partnered with Google to bring cloud computing and AI solutions into the kitchen. While there won't be robots operating the grills quite yet, thousands of restaurants will soon be powered by high-powered computing. Brian Rice, McDonald's executive vice president says the upgrade means that'tools get sharper, models get smarter, restaurants become easier to operate, and most importantly, the overall experience for our customers and crew gets even better.'

MILWAUKEE -- Agriculture is among the last major industries to become digitized. It's doesn't come as a major surprise, seeing as how off-road, rural environments are more challenging than roadway systems or manufacturing floors. However, as the connectivity gap continues to close, there is tremendous opportunity to capture data that can ultimately lead to transformative technologies like artificial intelligence (AI). "To put it as simply as possible, AI allows computer systems to complete tasks that are normally performed by humans," said Mark Kuehn, OEM sales manager for North America at Trimble. Given that definition, AI could mean everything from cognitive tasks like data analytics and forecasting to physical tasks like spraying weeds and picking produce.

The autonomous tractor is a version of Deere's existing 8R series machine, the largest of which has 410 horsepower. Current 8R users can upgrade their tractors with the autonomous driving system. The Deere tractor, unveiled at the CES 2022 tech conference in Las Vegas, isn't the world's first autonomous tractor. Smaller autonomous tractors are being used in specialty-crop farms. The application of the technology to larger vehicles is just getting started and promises to be highly consequential, according to Aron Cory, research manager for world-wide agriculture at International Data Corp. "The move from conventional tractors to autonomous tractors is going to be comparable from the move from horses to the combustion engine," he said.

One Tech (Dallas, TX) has ported its edge AI unsupervised training technology to microcontrollers to boost analysis in the Internet of Things. MicroAI Atom is designed to be embedded on microcontroller units (MCUs) and can now train and run AI models directly at the endpoint. This enables silicon manufacturers, original equipment manufacturers (OEMs), smart device manufacturers and smart device owners to reduce the costs of bringing intelligence to the edge and endpoint by at least 80 percent. Enabling unsupervised training on a microcontroller at the nertwork edge allows functions such as predictive maintenance that were previously only available on microprocessors. This differs from the AI accelerators on microcontrollers that run an inference engine that has already been trained. "This is a groundbreaking phase for the industry.

Technology popularized by films like artificial intelligence, I Robot, and The Bicentennial Man, in which machines acquire human characteristics, Artificial Intelligence has emerged in recent years from the field of science fiction to real life. To get an idea of the industry's potential, according to a research study by Research and Markets, the artificial intelligence solutions market will drive more than $23 billion by 2025, with a 44 percent annual growth rate. For those who are not yet familiar with the term, it defines the area of computer science that aims to develop systems and equipment capable of simulating the human capacity to reason and consequently make decisions and perform tasks. At the last CES (Consumer Electronics Show) in Las Vegas, the world's largest technology fair, artificial intelligence was one of the highlights of the event, showing that the technology is expected to hit home appliances and electronics in 2018. Companies like LG and Samsung they announced at the event equipment such as TVs, refrigerators, stoves and washing machines with the ability to "talk" to each other, respond to voice commands and even learn from users' habits.

Like any farmer, Guy Mills Jr. has had his share of equipment trouble. In the past, Mills, who grows corn, soybean and alfalfa on his 3,810-acre farm in Ansley, Neb., would have fixed his machinery himself. But like so many essential tools, Mills' equipment has become so technologically complex that he needs outside help when it breaks down. Unfortunately for him, that help can eat up time and money, both of which have been in short supply. "If you have a bad alternator, they connect a computer to your tractor and it tells them the alternator is bad," says Mills, 57.