Post by Siva Satyendra Sahoo

Ever wonder why your mobile devices run out of battery so quickly? 🔋 Often, the culprit is the power-hungry AI working behind the scenes to make our technology "smart". We have been researching a radical solution to this energy crisis by asking a counterintuitive question: Does implementation always need to be perfect? Salim Ullah, Akash Kumar Welcome to the first video in a series on Approximate Computing (AxC), featuring explainers of our published research. In this series, we will explore the "good enough" revolution. For many tasks, we don’t actually need 100% mathematical precision. By intentionally allowing for tiny, imperceptible errors, we can design hardware that is faster and more energy-efficient. This first video introduces the core philosophy of our work: • The Efficiency Trade-off: Why trading absolute perfection for "good enough" results is the key to sustainable technology. • AI-Driven Design: How we use evolutionary techniques to navigate a nearly infinite design space and discover more efficient hardware configurations. • Real-World Impact: What this means for the future of wearable tech, smaller sensors, and longer battery life. Check out the video below to see how embracing imperfection can lead to a more efficient and sustainable future. Stay tuned as we dive deeper into our research in the coming weeks! 🚀 https://lnkd.in/eRNEmRRi Related Article(s): Overview: - S. Ullah, S. S. Sahoo and A. Kumar, "Approximate Arithmetic Circuits Enabling Energy-Efficient Edge Computing," 2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST), Dresden, Germany, 2025, pp. 1-6, doi: 10.1109/MOCAST65744.2025.11083734. AxO in SNNs: - Salim Ullah, Siva Satyendra Sahoo, and Akash Kumar. 2024. AxOSpike: Spiking Neural Networks-Driven Approximate Operator Design. Trans. Comp.-Aided Des. Integ. Cir. Sys. 43, 11 (Nov. 2024), 3324–3335. https://lnkd.in/eZmv5U_K Circuits: - Salim Ullah, Hendrik Schmidl, Siva Satyendra Sahoo, Semeen Rehman, and Akash Kumar. 2019. Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures. IEEE Transaction on Computers 70, 3 (2019), 384–392. https://lnkd.in/eyQRHnUj #ApproximateComputing #AI #Sustainability #Innovation #ResearchSeries #EnergyEfficiency