Deloitte’s report “Exponentials watch list: Science and technology innovations on the horizon” asked the instructive question: “How long before you need to consider how to incorporate nanotechnologies, energy systems, biotechnology, and quantum technologies into the business?” Their answer is that in the next three to five years, business use cases will be emerging showing how these once-futuristic technologies are being deployed. These four areas of development are summarized briefly below.
Nano-manufacturing is primarily driven by the demand for less expensive and better performing computers. Medical applications leverage nano-scale manufacturing to copy DNA and synthesize proteins. Nanostructures on surfaces, such as coatings, lubricants and adhesives have disruptive potential across manufacturing industries.
How energy storage is utilized for different energy systems is an industry response to the world’s reliance on carbon-based energy. Aligning the production of wind and solar power with the consumption of that power creates a clear storage challenge. Globally, we will need more energy storage capacity as well as the ability to be flexible in how it is deployed across markets. More efficient batteries, compressed air, and molten salt are just the beginning of emergent energy storage technologies.
Synthetic Biology, an area of biotechnology, engineers biological systems or living organisms to produce a usable substance, such as polymers, fuels or coatings. Applications include pharmaceutical, oil, and gas industries, as well as chemical manufacturers looking to engineer organisms to produce complex chemicals and other compounds.
Quantum optimization utilizes quantum mechanics and effects within the architecture of machine learning technology, allowing for faster pattern recognition in many more permutations than a classic computer and creating a model that more effectively describes the data. Kyndi’s quantum emulation inferences complex data that would otherwise overwhelm human experts, automating large-scale analyses to help knowledge workers focus on high value add. Deloitte projects that in the coming years quantum computation will become one of the “most powerful models of probabilistic reasoning available.”
Arun Majumdar, Kyndi Founder and Chief Scientist shared his thoughts on quantum optimization.
“At Kyndi, we are working to change how society’s hardest problems can be solved when human creativity and resourcefulness are complemented by smarter machines. Our technology draws from the quantum sciences to transform text in any language into a crystalline structure that provides answers to many questions.”
Because language can be used in many ways, with words having many meanings, normal computers struggle with the nuance and complexity. The human brain can intuit these complexities, whereas traditional computers cannot. Kyndi solves this with “mapping technology” that learns the key makeup of a language how it is used contextually in a specific field. Of the motivation behind Kyndi’s technology, Majumdar said, “In a world increasingly cluttered by big data, dark data, and cacophonies of signals and seemingly random information, the growing need for technology that can analyze and draw plausible, realistic, and timely inferences from complexity drives our efforts.”