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" ... Formally launched in December 2017, Shift provides innovation advisory services to area manufacturers at no financial cost to program participants. In addition to advisory services, Buffalo Manufacturing Works also specializes in applied research and development in the field of additive manufacturing (i.e. 3-D printing) as well as pioneering work in metrology (measurement science) and inspection technologies. ... "
" ... From the Jewish Foundation, Koch catapulted to KLA-Tencor, a leader in process control using advanced inspection tools, metrology systems and computational analytics. She worked for the strategic business development part, which handled all the merger and acquisitions and strategic planning sessions. She had a mentor at the company that had a ranch of Kobe beef. Before she pivoted to her next company, he asked her if she would get his ranch certified as non-hormone treated cattle. “While it wasn't anything that I was overly excited about,” she states, “I did enjoy the work, getting the processes set up and writing a document that every other rancher would follow…I knew that eventually, that was going to be my calling was to take a process, define it, and then, later on, use technology to put it within customer service.” ... "
" ... Northwestern University professor Oliver Cossairt gathers the surface metrology of Georgia... [+] O'Keeffe's 'Ritz Tower' painting with his hand-held device. ... "
" ... This development line is suitable to study and evaluate critical areas in MRAM development using thin film and MTJ metrology tooling. The lab allows flexibility to study new spintronic technologies, such as Spin Orbit Torque (SOT) and voltage-controlled magnetic anisotropy. ... "
" ... While Seagate has made substantial progress in several different areas of manufacturing analytics and AI, there is still one key challenge. Given the large number of sensors and metrology tools in a factory, there can be some unavoidable false positives in the alerts for engineers. Traces of the transient faults in sensor readings are often never seen. Since most of the image recognition models that generate alerts are deep learning models, they are far too complex to be interpreted by the engineers. The only recourse for the engineer is a time-consuming series of investigations of the sensors and the fault readings. The analytics group currently provides an alert score to the engineers that predicts the likelihood of a valid sensor fault, but it doesn’t provide guidance as to why the score was assigned. ... "