As a digital manufacturing method, additive manufacturing has already managed to establish itself in a wide variety of industries. Whether in medicine, the automotive sector or the consumer goods industry, there is hardly any sector that does not benefit from the strengths of 3D printing. Among other things, the technology innovates production processes by making components both more flexible and more sustainable. Nevertheless, 3D printing has not yet been able to realize its full potential in terms of productivity. Could artificial intelligence be the key?

Artificial Intelligence and 3D printing online are two of the most hot issues in the field of technology, and the possibilities it will impact our lives in the future. As we have explained in a number of our blog posts in the past such as this one about the most innovative metal 3D printing software .You can utilize 3D printing service in almost unlimited number of circumstances. What is the best way to use it to tackle AI problems? A group of researchers have discovered a interesting method to use this technology in its Artificial Intelligence projects. Recently The European Space Agency came out with an innovative 3D printing software.

Ford and security company ADT have formed a joint venture that will help businesses protect vehicles and expensive equipment they carry from theft. The first product from the venture called Canopy is a system that uses cameras, radar, global positioning and artificial intelligence to spot a potential thief and notify ADT, which will monitor the feeds and notify the customer or authorities if needed. The system will be offered as accessory on Ford and other top-selling vehicles starting next year. The company expects to integrate it in factory vehicles and offer it to other manufacturers over time. The first cameras will be available in the United States and the United Kingdom, including Ford pickups and commercial vans.

Characterizing meltpool shape and geometry is essential in metal Additive Manufacturing (MAM) to control the printing process and avoid defects. Predicting meltpool flaws based on process parameters and powder material is difficult due to the complex nature of MAM process. Machine learning (ML) techniques can be useful in connecting process parameters to the type of flaws in the meltpool. In this work, we introduced a comprehensive framework for benchmarking ML for melt pool characterization. An extensive experimental dataset has been collected from more than 80 MAM articles containing MAM processing conditions, materials, meltpool dimensions, meltpool modes and flaw types. We introduced physics-aware MAM featurization, versatile ML models, and evaluation metrics to create a comprehensive learning framework for meltpool defect and geometry prediction. This benchmark can serve as a basis for melt pool control and process optimization. In addition, data-driven explicit models have been identified to estimate meltpool geometry from process parameters and material properties which outperform Rosenthal estimation for meltpool geometry while maintaining interpretability.

Like any good buzzwordy phrase, "Industry 4.0" has its high and low points. An example of a low point, for instance, would be that it's a subtle way of presenting our dystopian future as an exciting new idea, rather than simply the inevitable working out of market dynamics. Contrarily, what is perhaps its highest point is that it instantly suggests the inextricable relationship between the trajectories of what could otherwise seem like very distinct economic trends. A French-Swedish startup, for instance, ADAXIS (founded in 2021), is predicated entirely on developing a software platform that recognizes the necessarily overlapping objectives between three of the sectors most closely associated with the phrase "Industry 4.0": artificial intelligence (AI), additive manufacturing (AM), and robotics. Earlier this week, ADAXIS announced that its software platform, currently in development and called AdaOne, has just received over €1 million in its first, pre-seed round of funding.

With the combination of 3D printing and robotics, researchers are designing robots with the latest technologies and adding different advanced functions into them. For instance, humanoid robots are the best example. These robots at times represent humans or at times they mimic humans in some of the other ways such as walking, talking, gestures, etc.… These robots are not just used for entertainment but also in doing chores, caretaking, medical applications, and many. In the below article, you can learn about the most advanced 3D printed robots.

Agricultural equipment maker John Deere says the fully autonomous tractor combines machine learning with the company's GPS-powered auto-steer …

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.

Agricultural hardware giant and scourge of right-to-repair advocates everywhere John Deere is ready to show off its finished, fully-autonomous tractor. Here at CES, the company is saying that this unit is going to be put into large-scale production, and will be made available to farmers later this year. When in use, a farmer can set the hardware to work and then leave it running, allowing them to tend to vital work elsewhere. The idea, so the company says, is to help make farming more efficient and more robust in the face of ever-increasing demand and dwindling resources. John Deere's ambitions in this space have been running for some time, and the company was showing off an autonomous tractor at this show in 2019.

Deere & Co. helped mechanize agriculture in 1837 with the first commercially successful steel plow. On Tuesday, the company unveiled a machine that could prove just as transformative: a fully autonomous tractor. John Deere's new 8R tractor uses six pairs of stereo cameras and advanced artificial intelligence to perceive its environment and navigate. It can find its way to a field on its own when given a route and coordinates, then plow the soil or sow seeds without instructions, avoiding obstacles as it goes. A farmer can give the machine new orders using a smartphone app.