Interesting Engineering on MSN
Single string pull turns flat designs into 3D structures for modular space habitats
When a user pulls the string, the structure moves smoothly into its final 3D form. If the user releases the string, the ...
By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...
Morning Overview on MSN
Europe’s fastest 3D-printed homes went from weeks to days
Across Europe, 3D-printed housing has quietly crossed a threshold: projects that once took weeks of continuous printing are ...
Abstract: The deep neural network (DNN) models are widely used for object detection in automated driving systems (ADS). Yet, such models are prone to errors which can have serious safety implications.
Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...
Abstract: The study of the physical properties of porous media is crucial for petrophysics laboratories. Even though micro computed tomography (CT) could be useful, the appropriate evaluation of flow ...
Lawrence Livermore National Laboratory (LLNL) engineers and scientists, in collaboration with Stanford University, have ...
For advanced bonding schemes and panel operations, there is a high cost to discovering an interface issue late in the flow. Reliability improves when materials are specified as a system rather than as ...
Bespoke design is possible because Zellerfeld's 3D printers aren't constrained by the processes of traditional shoe factories. Zellerfeld instead prints shoes in one piece, eliminating concerns such ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback