Nanotronics Presents Novel Methods for AI in Applied Manufacturing
Posted: 2019-10-28
Nanotronics, the inventor of a platform that combines AI, automation, and sophisticated imaging for industrial inspection, has announced that Vadim Pinskiy, VP of R&D at the Brooklyn-based manufacturing and microscopy company, presented at the upcoming O’Reilly Artificial Intelligence Conference which took place in San Jose from Sept. 9 to 12.
Vadim’s session, "Development and application of advanced AI decision making for manufacturing" focused on the theory and development of an AI model for robust real-time process control in a multi-nodal action space. The talk described Artificial Intelligence Process Control (AIPC™) and the evolution of Process Control (PC) from individual to statistical to practical real-time correction. Dr. Pinskiy provided a 3D-printing additive manufacturing model as proof and demonstrated AIPC™’s applications to other industries.
"Our team successfully created a method for dynamically correcting variations and failures in an additive manufacturing system," says Vadim Pinskiy, VP of R&D at Nanotronics. "This is a significant step toward demonstrating the power of AIPC™ to increase yields and quality by correcting natural variances in industrial processes, paving the way to wider AIPC™ applications in manufacturing."
This platform, which uses AI to find and correct key inefficiencies in manufacturing settings, builds on the decades-long industrial experience of Nanotronics Cofounder and CEO, Matthew Putman, as well as the innovative work of Nanotronics’ R&D team members, including Senior Project Owner, Damas Limoge.
Nanotronics will deploy the presented platform in companies making next-generation 3D chips, innovative fabrics and materials, quantum sensors, and more. Ultimately, Nanotronics aspires to enable companies to improve their products less expensively, making viable and reproduceable alterations to their production processes through non-trivial solutions on the factory floor.
Nanotronics has applied for several patents related to AIPC™. These applications include AIPC™ applied to human assembly lines and AIPC™ applied to additive manufacturing.
About Nanotronics
Nanotronics invents platforms that combine robotics, sophisticated imaging, and advanced AI platforms to revolutionize process control for manufacturing and full-factory automation.
Nanotronics develops artificial intelligence platforms expressly trained for the unique inspection needs of advanced industrial manufacturing. Utilizing high-resolution imaging and rich datasets, Nanotronics has trained AI to recognize, quantify, and classify defects and features of interest.
About Vadim Pinskiy
Vadim Pinskiy is the VP of Research and Development at Nanotronics, where he oversees product development, short term R&D and long-term development of AI platforms. Vadim completed his doctorate work in Neuroscience, focused on mouse neuroanatomy using high throughput whole slide imaging and advanced tracing techniques. Prior to that, completed Masters in Biomedical Engineering from Cornell and Bachelor’s and Master’s in Electrical and Biomedical from Stevens Institute of Technology. Vadim is interested in applying advanced AI methods and systems to solving practical problems in biological and product manufacturing.
Vadim’s session, "Development and application of advanced AI decision making for manufacturing" focused on the theory and development of an AI model for robust real-time process control in a multi-nodal action space. The talk described Artificial Intelligence Process Control (AIPC™) and the evolution of Process Control (PC) from individual to statistical to practical real-time correction. Dr. Pinskiy provided a 3D-printing additive manufacturing model as proof and demonstrated AIPC™’s applications to other industries.
"Our team successfully created a method for dynamically correcting variations and failures in an additive manufacturing system," says Vadim Pinskiy, VP of R&D at Nanotronics. "This is a significant step toward demonstrating the power of AIPC™ to increase yields and quality by correcting natural variances in industrial processes, paving the way to wider AIPC™ applications in manufacturing."
This platform, which uses AI to find and correct key inefficiencies in manufacturing settings, builds on the decades-long industrial experience of Nanotronics Cofounder and CEO, Matthew Putman, as well as the innovative work of Nanotronics’ R&D team members, including Senior Project Owner, Damas Limoge.
Nanotronics will deploy the presented platform in companies making next-generation 3D chips, innovative fabrics and materials, quantum sensors, and more. Ultimately, Nanotronics aspires to enable companies to improve their products less expensively, making viable and reproduceable alterations to their production processes through non-trivial solutions on the factory floor.
Nanotronics has applied for several patents related to AIPC™. These applications include AIPC™ applied to human assembly lines and AIPC™ applied to additive manufacturing.
About Nanotronics
Nanotronics invents platforms that combine robotics, sophisticated imaging, and advanced AI platforms to revolutionize process control for manufacturing and full-factory automation.
Nanotronics develops artificial intelligence platforms expressly trained for the unique inspection needs of advanced industrial manufacturing. Utilizing high-resolution imaging and rich datasets, Nanotronics has trained AI to recognize, quantify, and classify defects and features of interest.
About Vadim Pinskiy
Vadim Pinskiy is the VP of Research and Development at Nanotronics, where he oversees product development, short term R&D and long-term development of AI platforms. Vadim completed his doctorate work in Neuroscience, focused on mouse neuroanatomy using high throughput whole slide imaging and advanced tracing techniques. Prior to that, completed Masters in Biomedical Engineering from Cornell and Bachelor’s and Master’s in Electrical and Biomedical from Stevens Institute of Technology. Vadim is interested in applying advanced AI methods and systems to solving practical problems in biological and product manufacturing.
