For the past five years, Antonio Pellegrino has been working on a high-pressure job: the scientist is leading an upgrade to the largest and most powerful particle accelerator ever built, which sits one hundred meters beneath the Franco-Swiss border at the European Organization for Nuclear Research (CERN). Commonly called the large hadron collider (LHC), the accelerator is a 27-kilometer-long ring in which particles such as protons and electrons are projected against one another at high speeds, recreating the conditions that existed one hundredth of a billionth of a second after the Big Bang – all for modern-day scientists to observe thanks to various high-precision detectors that sit inside the accelerator. SEE: An IT pro's guide to robotic process automation (free PDF) (TechRepublic) LHC was put on hold in 2015 for engineers and physicians to find ways to improve the accuracy of the accelerator's detectors. To do exactly that, Pellegrino turned to a technology that is currently used to design products ranging from food and fashion to human cells: 3D printing. Thanks to a partnership with technology company 3D Systems, some parts of the LHC have been springing out of 3D printers, as part of the design of the accelerator's detectors' cooling system.
Agricultural equipment giant Deere & Co. next summer will debut in farm fields a solution that combines machine vision and machine learning, to distinguish weeds from plants. Agriculture giant Deere & Co. plans to roll out a system next summer that combines machine vision and machine learning to improve the identification of individual plants and weeds. Deere's Jahmy Hindman said neural network models could be trained to only spray weeds in crop fields, killing everything except genetically modified plants designed to survive chemical applications. Said Hindman, "We are interested in being able to manage each plant over the course of its life, minimizing inputs and maximizing productivity." The technology would take pictures of plants, and a machine cruising the field would make the decision to spray in just seconds.
What if you could ride your own giant LEGO electric skateboard, make a synthesizer that you can play with a barcode reader, or build a strong robot dog based on the Boston Dynamics dog robot? Today sees the start of a new series of videos that focuses on James Bruton's open source robot projects. James Bruton is a former toy designer, current YouTube maker and general robotics, electrical and mechanical engineer. He has a reputation for building robot dogs and building Iron Man inspired cosplays. He uses 3D printing, CNC and sometimes welding to build all sorts of robotics related creations.
When it comes to the construction industry machine learning means many things. However, at its core, it all comes back to one thing: data. The more data that is produced through telematics, the more advanced artificial intelligence (AI) becomes, due to it having more data to learn from. The more complex the data the better for AI, and as AI becomes more advanced its decision-making improves. This means that construction is becoming more efficient thanks to a loop where data and AI are feeding into each other.
Relativity Space, a California-based company that can 3D print an entire rocket and can build large metal 3D printers, has now secured $300 million in a Series D funding round. Relativity Space is founded by Tim Ellis in the year 2015. It combines 3D printing, autonomous robotics, and Artificial Intelligence to build a rocket in less than 60 days. The company is as of now on its way to launch an entirely 3D printed rocket to orbit. The company has a team size of 230 employees.
AI Has Cracked a Key Mathematical Puzzle for Understanding Our World Karen Hao MIT Technology Review "Partial differential equations can describe everything from planetary motion to plate tectonics, but they're notoriously hard to solve. Physicists 3D Print a Boat That Could Sail Down a Human Hair John Biggs Gizmodo "Researchers at Leiden University have 3D printed the smallest boat in the world: a 30-micrometer copy of Benchy the tug boat, a well-known 3D printer test object. This boat is so small, it could float down the interior of a human hair. The 3D-printed boat is part of an exploration of microswimmers, microscopic organisms or objects that can move through liquids." Record-Smashing Hybrid Drone Stays Airborne for a Crazy 10 Hours, 14 Minutes Luke Dormehl Digital Trends "i'HYBRiX is an innovation, inspired by hybrid cars, that combines the best of both technologies,' a spokesperson for Quaternium told Digital Trends, referring to the drone's clever gasoline and battery-electric hybrid power system.
A tiny California start-up is looking to printers to solve the housing crisis – actually, a very large 3D printer. The company, Mighty Buildings, has been showcasing small (350 square foot) studio apartment models of its new "ADU" units (Accessory Dwelling Units) aimed at backyards and selling for around $115,000. That is, if you do the work and deal with local governments to get all the permits, connect the utilities and install the unit. Have Mighty set it up for you, and you're looking around $184,000. Sam Ruben, the co-founder of the firm, says Mighty can have the home in place in just over two weeks.
I-nteract is a cyber-physical system that enables real-time interaction with both virtual and real artifacts to design 3D models for additive manufacturing by leveraging on mixed reality technologies. This paper presents novel advances in the development of the interaction platform I-nteract to generate 3D models using both constructive solid geometry and artificial intelligence. The system also enables the user to adjust the dimensions of the 3D models with respect to their physical workspace. The effectiveness of the system is demonstrated by generating 3D models of furniture (e.g., chairs and tables) and fitting them into the physical space in a mixed reality environment.
Hitachi Construction Machinery (HCM) and its consolidated subsidiary, Wenco International Mining Systems, have jointly developed "ConSite Mine", a new technology platform that helps resolve problems at mine sites by remotely monitoring mining machines on a 24/7 basis through the use of IoT and AI based analysis of equipment operations data. According to Hitachi, it has developed this technology to help customers and HCM dealers predict costly maintenance issues before they occur, such as the occurrence of cracks in excavator booms or arms, by utilising machine learning and applied analysis technologies. Detailed information from these predictive alerts are provided on the web-based ConSite Mine dashboard and other items. Currently, Hitachi is piloting the technology in Australia, Zambia and Indonesia. "ConSite Mine" will be further modified based on customer feedback before wider commercial release in 2021.
Hitachi Construction Machinery Co. Ltd and its consolidated subsidiary, Wenco International Mining Systems Ltd have jointly developed ConSite Mine, which helps resolve problems at mine sites by remotely monitoring mining machines on 24/7 basis through the use of Internet of Things (IoT) and artificial intelligence (AI) based analysis of equipment operations data. Hitachi Construction Machinery has developed this technology to help customers and Hitachi Construction Machinery dealers predict costly maintenance issues before they occur, such as the occurrence of cracks in and excavator boom or arm by utilising machine learning and applied analysis technologies. Currently, Hitachi Construction Machinery Group is piloting the technology in Australia, Zambia and Indonesia. The system will be further modified based on customer feedback before wider commercial release in 2021. ConSite Mine will enable the maintenance professionals for customers and Hitachi Construction Machinery dealers to monitor equipment health in real time and anticipate issues before they occur.