Issue link: https://iconnect007.uberflip.com/i/1161956
46 SMT007 MAGAZINE I SEPTEMBER 2019 test that at one point was a good test for mon- itoring for gross changes in the process. The test was used, and abused, over time for pro- cess qualification when that was never the intent. Recently, J-STD was updated to include bet- ter analysis recommendations for process qualification while leaving the option to con- tinue using the ROSE test if you have historical data showing that it is effective for the purpose for which you are using it. Basically, if it ain't broke, don't fix it. But the fact the industry rec- ognized that the test was no longer enough for qualifying today's materials and component styles is proof that people within the indus- try are taking ownership of their processes and not simply relying on historical testing proto- cols that worked 20 years ago. Conclusion The best thing about standards is the fact that they will always be second to what is agreed upon between the user and the sup- plier. Nobody knows more about your prod- uct than you do, but in lieu of internal specifi- cations, industry standards are a great option. They are all written by companies that require reliability as part of their standard, so you can expect the same. SMT007 Eric Camden is a lead investigator at Foresite Inc. To read past columns or contact Camden, click here. to be self-powered and able to harvest light, kinetic, elec- tromagnetic, or thermal energy. The inspiration for new research lines comes more and more from the human brain, which is able to process many data in parallel at very low cost. Implementing the com- puting capability of a human brain with an artificial neu- ral network built with silicon CMOS technology is evidently not viable; thus, new neuromorphic or synaptic electronic structures are being developed with the aim to design devices having the learning and adaptive capabilities of biological brains. According to the review, photovoltaic technology could be employed in these systems to make them self- powered and energetically effi- cient. Oxide thin films are good candidates for neuromorphic devices self-sustainment. The paper provides a thorough over- view of some of the recent func- tional oxide-based advances for these applications, envisioning the future design of self-pow- ered photo-neuromorphic sys- tems. However, extensive R&D is needed to reach this objective. (Source: ICN2) Neuromorphic engineering—developing devices that mimic the brain structures' functioning—is an emerg- ing field of research that has the potential to produce a change of paradigm in computing, signal processing, and artificial neuroscience. Since energy efficiency and auton- omy are critical aspects of the development of these sys- tems, the implementation of self-powering through sun- light is being explored. A review of the latest progress in photo-neuromor- phic electronics by Dr. Amador Pérez-Tomás of the Cata- lan Institute of Nanoscience and Nanotechnology (ICN2) Oxide Nanophysics Group has been published in Advanced Materials Interfaces. The report focuses on the application of a specific category of materi- als—functional oxide thin films— for photovoltaic neuromorphic sys- tems production. The development of more pow- erful computers and artificial intelligence systems is facing an important limitation given by their energy consumption. The diffusion of these technologies, which have great potential for better inter- net of things (IoT) implementation, requires the devices of the future Photovoltaic Technology to Power Synaptic- and Neuronal-like Devices