ETH Zürich, a university in Switzerland, has unveiled a plan to build a three-storey house – dubbed DFab House – using robots and 3D printing.
Structural engineers and sustainability experts from ETH Zürich have teamed up with business partners on the project, which is designed to bring numerous building technologies from research labs into the real world.
Global auto supplier Denso has opened a new research and development lab at the University of Michigan, in the US.
Denso, which used to be part of Toyota, says the new research facility will “accelerate development of new auto safety technologies and create new research opportunities for engineering students”.
The company says the Denso R&D Lab gives Denso an opportunity to more closely collaborate with the university and North American automotive manufacturers on key safety technologies like machine learning, advanced driver assistance systems, and automated drive.
Laurel Riek, a roboticist at the UC San Diego, will lead a three-year, $1 million project funded by the National Science Foundation to help change the role of robots in factories and make it easier for machines to work alongside people.
The goal of the project is to design an intelligent material delivery system, which supports and closely integrates with skilled workers in factories.
Industrial robot-making giant Denso to advance artificial intelligence knowledge, signs technical advisory contract with Carnegie Mellon University
In an effort to deepen and advance its knowledge in artificial intelligence, Denso has entered into a technical advisory contract with one of the world’s foremost researchers in computer vision, Carnegie Mellon University Professor Dr Takeo Kanade.
Through this contract, Denso is looking to advance its artificial intelligence technology and expand its engineering expertise in the areas of advanced driver assistance systems (ADAS), autonomous drive, and the Internet of Things (IoT).
Dr Kanade, a UA and Helen Whitaker University Professor of Robotics and Computer Science at Carnegie Mellon, will provide technical guidance to Denso engineers on image recognition and machine learning, and will also speak at lectures and seminars organized by Denso for a variety of purposes, such as recruiting, relationship building, and so on. These activities will be held mostly in Japan. Continue reading Denso teams up with Carnegie Mellon to develop artificial intelligence knowledge
Sewing may be one of the oldest technical activities of humankind but it’s not one that robots have yet fully mastered.
The complexity of sewing, whether it’s sewing by hand or using a machine, is such that robots – or sophisticated sewing machines – can only perform some relatively simple stitches.
But those stitches that the robots or sewing machines can perform are actually very impressive and would be difficult – though not impossible for a human.
On the other hand, a lot of things a human can do – such as stitch together a sleeve and cuff or some other part of the garment, or even sew together the entire garment – is way beyond the realms of possibility for even the most sophisticated robots of today.
Becoming one of the world’s largest industrial robot companies takes time and a lot of dedication. Work, work, work. No time for play. And having got to the top, the most annoying thing for a company, like Kuka, must be to see a startup company, like DeepMind, which has yet to deliver a single commercial product, make worldwide headlines for building an artificially intelligent computer that plays an ancient Chinese board game no one understands.
So what does Kuka do to make its own headlines? Of course: find another obscure board game no one understands and teach one of its robots how to play that, and get students at a local university to do all the programming.
A team in Hong Kong is claiming to have developed the world’s first internally motorized minimally invasive surgical robotic system for single incision or natural orifice (incision-less) robotic surgery.
A statement by the the group, which comprises leading Hong Kong universities working with commercial partner companies, said the system can minimize surgical trauma and improve the safety of current robotic surgery.
The project is said to have developed a novel surgical robotic system (NSRS) with haptic (tactile) feedback and capable of single incision or natural orifice (incision-less) robotic surgery.
A web-based machine language system solves crossword puzzles far better than commercially-available products, and may help machines better understand language.
Researchers at Cambridge University have designed a web-based platform which uses artificial neural networks to answer standard crossword clues better than existing commercial products specifically designed for the task.
Aston University is playing a critical role in a €6 million EU project working to develop a robotic stem cell factory, which will reduce the cost of manufacturing adult stem cells and open up the opportunity to produce new therapies for a range of conditions.
The Autostem consortium, coordinated by NUI Galway in Ireland, has received funding through the European Commission’s Horizon 2020 programme to address the current challenges in manufacturing stem cells.