As India’s manufacturing sector enters an era defined by EVs, aerospace, semiconductors, and high-accuracy engineering, Makino India marks a milestone that mirrors the country’s own industrial ...
Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
Unusual Machines (NYSE American:UMAC), a leading provider of NDAA-compliant drone components, today announced the appointment of Dr. Alfred (“Al”) Ducharme as Vice President of Engineering. A UAV ...
Rygel Advanced Machines d/b/a OMTech, a laser engraving machine manufacturer and seller, and Transcend Management filed a trade secrets lawsuit on Sept. 17 in California Superior Court for Orange ...
A dive into the engineering behind Tektronix's new 7 Series 4-ch. scope featuring 25-GHz bandwidth, 125-Gsample/s rate, world-class ENOB, and 2-Gsample/ch memory depth. Tek’s new 7 Series scope ...
In a new study published in Nature Communications titled, “The reference genome of the human diploid cell line RPE-1,” researchers from University of Rome La Sapienza have produced the first reference ...
Having spent the last few years in a testing phase, the AI assembly line is finally allowing machines to create new movies and alter classic ones. But as TIFF showed, many directors are pushing back.
A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. “Deep neural network (DNN) inference on power-constrained edge ...
Engineering drawings are key tools that engineers use to communicate, but deciphering them isn't always straightforward. In this video we cover the fundamentals, including the different types of views ...
The film discusses the importance of selecting appropriate dimensions in engineering drawings to ensure that machine parts function correctly together. It emphasizes understanding the machine's ...
Engineered enzymes are poised to have transformative impacts across applications in energy, materials, biotechnology, and medicine. Recently, machine learning has emerged as a useful tool for enzyme ...