Description

This technical session is focused on the cutting-edge field of Approximate Computing and its transformative impact on Digital Signal Processing (DSP) . As the demand for energy-efficient and high-speed processing grows in IoT and real-time systems, this session explores how trading off exact precision for computational efficiency can revolutionize hardware and software design. The session will be led by Dr. Durgesh Nandan , an expert in the field, as part of his distinguished visit to Sri Lanka. The talk will include the architectural and algorithmic strategies used to implement approximate computing in DSP applications, providing students with a deep dive into advanced silicon-level optimizations.