20230831: @University of Chicago Industry Network Day

Industry Network Day 2023 at the University of Chicago Pritzker School of Molecular Engineering (PME). The theme for this year was Innovation.

According to Dr.Felix Lu, the motivation for this type of event is, at the core, an opportunity to expand awareness and find alignment with industry leaders on concepts, tools, and approaches within grand challenges in future innovation using advanced material science, quantum scale and molecular technologies.

Industry Networks Day 2023 put a focus on the different ways innovation ecosystems can be leveraged for mutual benefit. Panel discussions and talks on how different parts of the geographic and virtual links we are all connected to, and the opportunities to engage for creative innovation will lead to new and interesting networking.

Here are more details of the event:


A better understanding of how the University of Chicago is organized may illuminate new insights and pathways to partnerships to better take advantage of collective resources and talent. This meeting will highlight some of these aspects and encourage strategic thinking and tactical planning to maintain a competitive edge.

Industry Networks Day is sponsored by the University of Chicago’s Pritzker School of Molecular Engineering, the Materials Research Science and Engineering Center (MRSEC), and Elsevier.

The prior day was the Science & Engineering Expo from UChicago GRAD where we met wth several students (post doc fellows, phds, grad and undergrad) who research and work in a coordinated multi-disciplinary model that is unique to the Pritzker Molecular Engineering school. We had a chance to present our company and how we plan to collaborate with academia in a joint internship program using a capstone project as a basis.


Materials have always been our go to for defining our progression as a civilization – from the Stone Age, the Bronze Age, the Iron Age to the Silicon Age… Innovation is the driver of such progressions using soft wall themes, grand challenge themes and by fostering cross disciplinary communications, engagements with corporate and academia and by constructive interference.

Here are some takeaways from the keynote speech by Pete Dulcamara:

  • humanity centric innovation,
  • re-imagining the future for a better world
  • build products using atoms to bits to neurons
  • to touch a billion (people),
  • to move from insights to foresights,
  • how do we Uberize ourselves before getting Kodaked
  • what is your Marsshot?

In reiterating the humanity-centric innovation theme, Chuck Meek stated that KPI should be re-defined as:

  • Keeping People Informed
  • Keeping People Involved
  • Keeping People Inspired

Vincent Ling stated that for innovation to take place you should position yourselves at the intersections, not the cul-de-sacs. Innovation is not a nice to have, it requires theming and teaming. Narratives live only when you share them. You either innovate or you go home!

Our Takeaways

Wondering as we move to the realm of AI, if there would be multiple Large Language Model personas that would be needed to be invoked to provide for innovation compositions?

Innovation unlike invention is a process that needs the collective imagination of creators, the knowledge of subject matter experts and the foresight of visionaries. For businesses, it is also the aspect of commercial viability be it as a replacement to an existing product or solution, or as a disruptor. It is for this reason that large enterprises are wary to undertake drastic changes in their business processes and go-to-market strategies – pivoting a large ship has unforeseen consequences – and it up to the nimble startups to make it or fail.

But what happens when you introduce AI to the equation? At Numorpho Cybernetic Systems (NUMO), we recognize the potential of AI in catalyzing innovation. We are in the process of constituting an Innovation toolkit driven by enhanced generative constructs that would provide for streamlining the workflow, enable collaborations (both within and with partners) and provide for seamless interoperable data integration. Called Manthan (Sanskrit: Churning), it is part of our process automation platform – Mantra M5 – that would provide a multi-modal basis for transformations thus providing a versatile foundation for ideating and iterating on future solutions with a clear foundation and intent.

As we delve into the realm of AI, the need for multiple Large Language Model personas becomes increasingly apparent to foster innovation and creativity in compositions. These personas could be invoked to provide diverse perspectives, creative ideas, and domain-specific expertise, enriching the innovation process.

In this AI-driven era, the possibilities for innovation are boundless, and with the right tools and approaches, businesses (both large and small) can navigate the evolving landscape to harness its potential for growth and success. We at NUMO are firmly committed to this endeavor. We aim to be a catalyst for change, working closely with partners, collaborators, and visionaries to shape the future of industries.

Happenstance we are based out of the mHUB , the center of innovation in the Chicagoland area that fosters hard tech innovation via an ecosystem of providers. We also have the good fortune of being associated with the DoD funded MxD where design meets manufacturing with perspectives on supply chain implications and cybersecurity to jointly craft the art of the possible teaming with large companies. We plan to collaborate with the University of Chicago – particularly with the Pritzker Molecular Engineering School, the Argonne National Laboratory, the Booth School of Business, the Data Sciences Institute and the MRSEC.


In harnessing human-machine collaboration for innovation we need to understand the intersection when tech is brought to bear to enhance the human experience. Creativity is still uniquely human and we need to see how technologies like AI would be used to not replace but supplement and enhance our capabilities. By combining the creative imagination of individuals, the expertise of subject matter specialists, and the capabilities of AI, we strive to pioneer transformative solutions that address complex challenges and drive progress.

In this rapidly evolving landscape, we are excited to be at the forefront of innovation, and we look forward to the journey ahead, where we can continue to explore, experiment, and create with the power of AI as our ally. Together, we will shape a future that’s not only technologically advanced but also more sustainable, inclusive, and exciting.

NI+IN UCHIL Founder, CEO & Technical


Summary by ChatGPT

The classification of historical periods based on the predominant materials used is a common way to track the progression of human civilization. These classifications are known as “ages” and are typically characterized by the primary materials and technologies that defined that era. Here’s a brief overview of some of these ages:

  1. Stone Age: This was the earliest known period in human history, characterized by the use of stone tools and weapons. It’s further divided into the Paleolithic, Mesolithic, and Neolithic periods, each marked by advancements in stone tool technology and the transition to agriculture during the Neolithic.
  2. Bronze Age: The Bronze Age followed the Stone Age and was characterized by the use of bronze, an alloy of copper and tin, to create tools, weapons, and other objects. Bronze was an important technological advancement because it was stronger and more durable than pure copper.
  3. Iron Age: The Iron Age succeeded the Bronze Age and was marked by the widespread use of iron for tools and weapons. Iron tools were stronger and more readily available than bronze, leading to significant advancements in agriculture, construction, and warfare.
  4. Industrial Revolution: While not strictly an “age” based on materials, the Industrial Revolution marked a significant turning point in human history. It saw the widespread use of coal and steam power, leading to the mechanization of industries and a shift from agrarian societies to industrial ones.
  5. Silicon Age: The term “Silicon Age” is often used metaphorically to describe the modern era dominated by information technology and electronics. Silicon is a key component of semiconductors, which are the basis for computer chips. This age is marked by rapid advancements in computing, telecommunications, and digital technology.

It’s important to note that these ages don’t neatly replace each other but often overlap, and different regions of the world progressed through these stages at different times. Additionally, the categorization of historical periods based on materials can vary depending on the perspective and criteria used by historians and archaeologists. Nonetheless, these age classifications provide a useful framework for understanding the evolution of human civilization and technology.


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