| WIRELESS COMMUNICATION TECHNOLOGY, APPARATUSES, AND METHODS E Alpman, AL Amadjikpe, O Asaf, K Azadet, R Banin, M Baryakh, A Bazov, ... US Patent App. 18/442,331, 2024 | | 2024 |
| Optimization of block-scaled integer GeMMs for efficient DNN deployment on scalable in-order vector processors NS Murthy, F Catthoor, M Verhelst Journal of Systems Architecture, 103236, 2024 | | 2024 |
| TinyML4D: Scaling Embedded Machine Learning Education in the Developing World B Plancher, S Buttrich, J Ellis, N Goveas, L Kazimierski, JL Sotelo, M Lukic, ... Proceedings of the AAAI Symposium Series 3 (1), 508-515, 2024 | | 2024 |
| Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge J Dumoulin, P Houshmand, V Jain, M Verhelst 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | | 2024 |
| Wireless communication technology, apparatuses, and methods E Alpman, AL Amadjikpe, O Asaf, K Azadet, R Banin, M Baryakh, A Bazov, ... US Patent 11,955,732, 2024 | | 2024 |
| Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms S Colleman, A Symons, VJB Jung, M Verhelst 2024 25th International Symposium on Quality Electronic Design (ISQED), 1-6, 2024 | | 2024 |
| TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware J Crols, G Paim, S Zhao, M Verhelst 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |
| BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration M Shi, V Jain, A Joseph, M Meijer, M Verhelst 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 1 | 2024 |
| Scoping the Landscape of (Extreme) Edge Machine Learning Processors V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2024 | | 2024 |
| Stimulation circuitry for a multichannel potentiostat M Verhelst, T Molderez, K Rabaey US Patent App. 18/032,705, 2023 | | 2023 |
| ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators J Yin, L Mei, A Guntoro, M Verhelst 2023 IEEE 41st International Conference on Computer Design (ICCD), 391-398, 2023 | | 2023 |
| Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling J Sun, P Houshmand, M Verhelst 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
| Micro‐electronics for micro‐biology P Li, M Verhelst | | 2023 |
| The “Eagle” Approach To Train Electrical Engineers With Collaborative Problem-Solving Skills F Poormohammadi, M Van Deyck, M Deckers, A Saboor, B Wang, ... 51st Annual Conference of the European Society for Engineering Education (SEFI), 2023 | | 2023 |
| Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis GM Sarda, N Shah, D Bhattacharjee, P Debacker, M Verhelst 2023 IEEE International Symposium on Workload Characterization (IISWC), 226-228, 2023 | | 2023 |
| Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems V Jain, M Verhelst Springer Nature, 2023 | | 2023 |
| A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm2, 256kB/mm2 and 23. 8TOPs/W W Jiang, P Houshmand, M Verhelst, W Dehaene ESSCIRC 2023-IEEE 49th European Solid State Circuits Conference (ESSCIRC …, 2023 | | 2023 |
| An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing Y Chen, B Tacca, Y Chen, D Biswas, G Gielen, F Catthoor, M Verhelst, ... IEEE Journal of Solid-State Circuits, 2023 | 3 | 2023 |
| Design Space Exploration of Deep Learning Accelerators L Mei, M Verhelst | | 2023 |
| Ultrasound In-Body Communication: Channels, Modems and Hardware for Ultrasound In-Body Communication Links T Bos | | 2023 |
Bert MoonsAxelera AI, previously at Qualcomm AI Research and KU Leuven在 axelera.ai 的电子邮件经过验证
