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Jakob Finkbeiner
Jakob Finkbeiner
在 int.uni-stuttgart.de 的电子邮件经过验证
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Analog Multiply-Accumulate Cell With Multi-Bit Resolution for All-Analog AI Inference Accelerators
R Nägele, J Finkbeiner, V Stadtlander, M Grözing, M Berroth
IEEE Transactions on Circuits and Systems I: Regular Papers 70 (9), 3509-3521, 2023
102023
Time-Interleaved Switched Emitter Followers to Extend Front-End Sampling Rates to up to 200 GS/s
P Thomas, J Finkbeiner, M Grözing, M Berroth
IEEE Journal of Solid-State Circuits 57 (9), 2599-2610, 2022
72022
Design of an energy efficient analog two-quadrant multiplier cell operating in weak inversion
R Nägele, J Finkbeiner, M Grözing, M Berroth
2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 5-9, 2022
22022
Design of an energy efficient voltage-to-time converter with rectified linear unit characteristics for artificial neural networks
J Finkbeiner, R Nägele, M Grözing, M Berroth
2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 327-331, 2022
22022
Characterization of an Analog MAC Cell with Multi-Bit Resolution for AI Inference Accelerators
R Nägele, J Finkbeiner, M Grözing, M Berroth, G Rademacher
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024
2024
Characterization of a Femtojoule Voltage-to-Time Converter with Rectified Linear Unit Characteristic for Analog Neural Network Inference Accelerators
J Finkbeiner, R Nägele, M Grözing, M Berroth, G Rademacher
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024
2024
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