For decades, circuits have followed thesame blueprint: binary switches flipping between 0 and 1, pieced together forspecific functionalities. This 1940s-era approach still dominates, even as AI exposes its limitations. It’s time to rethink everything.
We ask bold questions:
🔹 Why not take inspiration from natural intelligence and the human brain?
🔹 Can we build circuits with brain-like plasticity and reconfigurability?
🔹 Can we embed complex logic directly into nanoscale memory?
🔹 Can we operate on the edge of chaos—where intelligence thrives?
There's plenty of hype about devices mimicking synapses, axons, and dendrites, but if you ask a biologist, we’re nowhere near replicating the brain. Achieving this requires real innovation in:
⚡️ Device fabrication
⚡️ Circuit design
⚡️ Physics-based & nonlinear modeling
⚡️ Nano transport & in-operando spectroscopy
⚡️ Bridging the gap with biology
We are looking for electricaland electronics engineers, physicists, mathematicians, and biologists whoare ready to challenge the status quo. Let’s build the future. 🚀
Reference:
Sreetosh Goswami*,Rajib Pramanick, Abhijeet Patra, T. Venkatesan*, Sreebrata Goswami* and R. Stanley Williams* “Decision Trees within a Molecular Memristor”, Nature, 2021,597,51-56
https://www.nature.com/articles/s41586-021-03748-0
SantiPrasad Rath, Yi Suin, NavakantaBhat, SreebrataGoswami, R. Stanley Williams, & Sreetosh Goswami*Energy and Space Efficient Parallel Adder Using Molecular Memristors. Advanced Materials, 2022,2206128
https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/adma.202206128