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001012759 0247_ $$2doi$$a10.3030/101194458
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Energy-efficient Neuromorphic 2D Devices and Circuits for Edge AI Computing
$$y2024-10-01 - 2027-09-30
001012759 372__ $$aHORIZON-JU-Chips-2024-3-RIA$$s2021-10-01$$t2027-09-30
001012759 450__ $$aENERGIZE$$wd$$y2024-10-01 - 2027-09-30
001012759 5101_ $$0I:(DE-588b)5098525-5$$aEuropean Union$$bCORDIS
001012759 680__ $$a
An AI approach to sustainable low-power computing. The growing demand for AI is leading to increased energy consumption, which poses significant environmental challenges. Traditional computing architectures can consume large amounts of power. Hence, there is a need for more sustainable alternatives that can handle AI tasks without compromising performance. This is essential for a future where technology and the environment coexist harmoniously. With this in mind, the EU-funded ENERGIZE project will create neuromorphic hardware using 2D materials to make AI more energy-efficient and seek to improve artificial neural networks. ENERGIZE will also enhance chiplet-based in-memory computing, allowing for more efficient processing. Through collaboration between European and Korean researchers, ENERGIZE will transform the landscape of low-power edge computing while promoting AI development.

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