Neuromorphic Computing: Challenges & Future

Related lectures (31)

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Introduces the design of analog CMOS integrated circuits and emphasizes the importance of good analog design skills.

Covers the layout of analog CMOS ICs, including matching transistors and dealing with parasitics and fabrication asymmetry.

Delves into the evolution of transistors, the impact of quantum effects on nano-devices, and the functionality of memristors.

Covers VLSI design basics, including scaling, technology, MOSFET operation, and logic circuit implementation.

Explains electronic memory in computer architecture using transistor-based circuits for data storage and retrieval.

Explores the transistor figures of merit, covering MOSFET models, velocity saturation effects, and current efficiency.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Explores physics-inspired computing, analog computing, optical computing, and the potential of spin waves for physics-based computing.

Explores the historical evolution of CMOS technology, MOSFET analysis, and its applications in digital and analog electronics.

Discusses digital logic circuits, CMOS technology, and Verilog for circuit design.