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| 001 | 1012759 | ||
| 005 | 20250606040111.0 | ||
| 024 | 7 | _ | |2 originalID |a corda_____he::101194458 |
| 024 | 7 | _ | |2 CORDIS |a G:(EU-Grant)101194458 |d 101194458 |
| 024 | 7 | _ | |2 CORDIS |a G:(EU-Call)HORIZON-JU-Chips-2024-3-RIA |d HORIZON-JU-Chips-2024-3-RIA |
| 024 | 7 | _ | |2 doi |a 10.3030/101194458 |
| 035 | _ | _ | |a G:(EU-Grant)101194458 |
| 150 | _ | _ | |a
Energy-efficient Neuromorphic 2D Devices and Circuits for Edge AI Computing
|y 2024-10-01 - 2027-09-30 |
| 372 | _ | _ | |a HORIZON-JU-Chips-2024-3-RIA |s 2021-10-01 |t 2027-09-30 |
| 450 | _ | _ | |a ENERGIZE |w d |y 2024-10-01 - 2027-09-30 |
| 510 | 1 | _ | |0 I:(DE-588b)5098525-5 |a European Union |b CORDIS |
| 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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| 909 | C | O | |o oai:juser.fz-juelich.de:1043061 |
| 980 | _ | _ | |a G |
| 980 | _ | _ | |a AUTHORITY |
| 980 | _ | _ | |a CORDIS |
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