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• Machine Learning Assisted Direct Synthesis of Passive Networks
  ...of the passive network structure grows, simulation times may easily reach in the excess of several hours. This prevents the designer from performing opt ...or automating the design of transformers to achieve optimal power matching in electrical systems. The solution will be based on a mathematical model that
  4 KB (524 words) - 11:44, 14 February 2023
• Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection
  <!-- Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection: A Wearable Approach --> In this project, the student will focus on using Continual Learning to improve
  8 KB (1,271 words) - 15:04, 20 July 2023
• Audio Visual Speech Separation (1S/1M)
  ...ang2018|&#91;7&#93;]]. This aim to mimic the cocktail party effect present in humans, which denotes our capability of focusing on an individual conversat In the current work, we investigate the potential of performing Audio-Visual S
  9 KB (1,283 words) - 17:44, 1 September 2023
• Charge and heat transport through graphene nanoribbon based devices
  ...However, their use as quantum heat engines has not been demonstrated yet. Progress on the experimental, as well as on the theoretical side is required to gain Interest in quantum transport theory and nano-device modeling.
  3 KB (460 words) - 17:28, 20 February 2023
• Efficient Banded Matrix Multiplication for Quantum Transport Simulations
  ...sparse matrices are unstructured. Therefore, using these libraries results in sub-optimal performance and/or much higher memory usage than necessary comp ===Status: In Progress ===
  3 KB (446 words) - 15:56, 1 May 2023
• User:Julian
  ...is network on nearly all microcontrollers. Currently, I am pursuing a Ph.D in developing further computer vision algorithms for microcontrollers or Singl My main interest is in computer vision using conventional and event-based cameras, combined with e
  2 KB (327 words) - 08:55, 25 May 2023
• Artificial Reverberation for Embedded Systems
  ...ounts of memory to model the propagation of acoustic waves in large rooms. In fact, storing 24-bit stereo samples at a 96kHz sampling rate for one second ...fabricated chip should be able to apply the "tiny" reverberation algorithm in real-time to signals sampled at a stereo ADC.
  5 KB (578 words) - 12:39, 14 June 2023
• On-Board Software for PULP on a Satellite
  [[Category:In progress]] ...enos aims to be onboard, but still requires software both to run its tests in space and interface with the main On-Board Computer.
  3 KB (383 words) - 14:29, 18 February 2024
• A FPGA-based data streaming system that enables real-time monitoring of cell culture and neuroactivities
  ...information such as the drug efficacy and toxicity can be readily assessed in vitro. As such, the development of CMOS biosensors for cell monitoring and : Programming experience in Python and C++
  6 KB (720 words) - 16:27, 27 September 2023
• Real-time Linux on RISC-V
  [[Category:In Progress]] == Status: In Progress ==
  3 KB (460 words) - 15:29, 19 February 2024
• Wireless In Action Data Streaming in Ski Jumping (1 B/S)
  ...ta with a body-worn sensor node and transmits the information to the coach in real time. This requires reliable wireless communication with sufficient ba ===Status: In Progress ===
  6 KB (688 words) - 12:15, 23 July 2023
• Cycle-Accurate Event-Based Simulation of Snitch Core
  ...hitectures. In this scenario, high-level simulators play an essential role in breaking the speed and design effort bottlenecks of cycle-accurate simulato ...with the flexibility of Python configuration scripts. An overview is shown in the Figure. GVSoC combines the following concepts:
  14 KB (2,018 words) - 22:54, 23 November 2023
• Smart Goggles for Visual In-Action Feedback in Ski Jumping (1 M 1-2B/S)
  In ski jumping, low repetition rates of jumps limit effectiveness of training. ===Status: In Progress ===
  6 KB (735 words) - 12:15, 23 July 2023
• On - Device Continual Learning for Seizure Detection on GAP9
  == Status: In progress == [[Category:In progress]]
  9 KB (1,326 words) - 11:16, 12 October 2023
• Pretraining Foundational Models for EEG Signal Analysis Using Open Source Large Scale Datasets
  ...r capturing the brain's electrical activity, playing an indispensable role in both neurological research and clinical diagnostics. It acts as a portal to ...s inherent in these signals. This initiative recognizes a significant void in AI applications: while foundation models have revolutionized areas like ima
  7 KB (891 words) - 17:04, 18 December 2023
• Skin coupling media characterization for fitnesstracker applications (1 B/S)
  ...uman anatomy, which is hard to achieve with current transducer technology. In this work, we develop strategies and prototypes to advance ultrasound into ===Status: In Progress ===
  5 KB (631 words) - 12:43, 23 July 2023
• Integrating Ultrasound Technology into a Fitness Tracking Device (1M, 2 B/S)
  ...uman anatomy, which is hard to achieve with current transducer technology. In this work, we develop strategies and prototypes to advance ultrasound into * Showing participation in non-curricular analog/digital projects is a plus.
  7 KB (903 words) - 10:04, 24 July 2023
• Skin Coupling Media Characterization For Fitness Tracker Applications (1 B/S)
  ...uman anatomy, which is hard to achieve with current transducer technology. In this work, we develop strategies and prototypes to advance ultrasound into ===Status: In Progress ===
  5 KB (631 words) - 10:07, 24 July 2023
• Implementation of a Cache Reliability Mechanism (1S/M)
  [[Category:In progress]] == Status: In Progress ==
  2 KB (267 words) - 14:22, 27 February 2024
• Transformer Deployment on Heterogeneous Many-Core Systems
  ...processing, and machine learning are offloaded to accelerators, resulting in improved performance and energy efficiency. .... The self-attention mechanism is a key component of the model but results in a high computational load and a complicated operational scheme. For this re
  6 KB (858 words) - 14:52, 23 October 2023
• User:Gislamoglu
  ...ormation Technology at ETH Zürich in 2022. Currently, I'm pursuing my PhD in the Digital Circuits and Systems Group at IIS, focusing on scalable hardwar ===Projects In Progress===
  926 bytes (112 words) - 12:02, 23 August 2023
• Fault-Tolerant Floating-Point Units (M)
  [[Category:In progress]] == Status: In Progress ==
  2 KB (273 words) - 14:23, 27 February 2024
• Audio Visual Speech Recognition (1S/1M)
  ...ang2018|&#91;7&#93;]]. This aim to mimic the cocktail party effect present in humans, which denotes our capability of focusing on an individual conversat In the current work, we investigate the potential of performing Audio-Visual S
  9 KB (1,283 words) - 18:08, 1 September 2023
• Extreme-Edge Experience Replay for Keyword Spotting
  ...s)[[#ref-Hemati2023|&#91;2&#93;]] are added directly in the target device. In such contexts, on-device continual learning -- both domain incremental and ...ce catastrophic forgetting by maintaining a subset of already-seen samples in a memory buffer, also called reservoir. During the adaptation stage, the su
  9 KB (1,226 words) - 13:56, 15 February 2024
• Learning at the Edge with Hardware-Aware Algorithms
  ...le to face real-life phenomena such as data distribution shifts or changes in the target classes. ...trated on MCUs with straightforward memory hierarchies like ARM Cortex-M4. In contrast, cutting-edge Edge processors such as GAP9 [[#ref-gwt|&#91;2&#93;]
  7 KB (942 words) - 13:59, 15 February 2024
• User:Wiesep
  ...m ETH Zurich in 2021 and 2023, respectively. I am currently pursuing a PhD in the Digital Circuits and Systems Group at IIS, focusing on the deployment o ===Projects In Progress===
  979 bytes (117 words) - 13:31, 10 May 2024
• Reliability by Switching the Embedded ISA in Ibex (1-2S/B/1M)
  <!-- Reliability by Switching the Embedded ISA in Ibex --> ...PULP group, we have started developing reliable hardware designed for use in space, where high levels of radiation have a significant impact on the corr
  2 KB (259 words) - 11:55, 18 December 2023
• Designing a Scalable Miniature I/O DMA (1-2B/1-3S/M)
  [[Category:In progress]] == Status: In Progress ==
  1 KB (192 words) - 14:24, 27 February 2024
• Physical Implementation of ITA (2S)
  [[Category:In progress]] Transformers [1], initially popularized in Natural Language Processing (NLP), have found applications beyond and are n
  4 KB (577 words) - 10:52, 12 December 2023
• 3D Matrix Multiplication Unit for ITA (1S)
  [[Category:In progress]] Transformers [1], initially popularized in Natural Language Processing (NLP), have found applications beyond and are n
  3 KB (485 words) - 10:52, 12 December 2023
• Streaming Layer Normalization in ITA (M/1-2S)
  <!-- Streaming Layer Normalization in ITA (M/1-2S) --> [[Category:In progress]]
  4 KB (511 words) - 12:38, 21 December 2023
• Vector-based Manycore HPC Cluster Exploration for 5G Communication Algorithm (1-2M)
  [[Category:In progress]] == Status: In Progress ==
  6 KB (844 words) - 11:41, 31 October 2023
• A RISC-V fault-tolerant many-core accelerator for 5G Non-Terrestrial Networks (1-2S/B)
  [[Category:In progress]] == Status: In progress ==
  3 KB (342 words) - 13:02, 12 February 2024
• Design of a Scalable High-Performance and Low-Power Interface Based on the I3C Protocol (1-3S/B)
  ...ion interfaces are required to control and transmit data with high speeds, in energy-saving and space-saving designs. ...t-benches, (following the UVM methodology [4] if the student is interested in this topic). Eventually, the project can be completed with the integration
  5 KB (775 words) - 17:17, 18 December 2023
• Creating an At-memory Low-overhead Bufferless Matrix Transposition Accelerator (1-3S/B)
  ...ible family of DMA engines, called iDMA [1]. iDMA is the cluster-level DMA in both the Snitch and PULP clusters. When implemented as this cluster-level e ...a matrix, an accelerator requires a huge internal buffer to read the data in a dense format, reshuffle it, and write it out again as a dense stream. Thi
  2 KB (314 words) - 10:27, 3 November 2023
• Efficient collective communications in FlooNoC (1M)
  <!-- Efficient collective communications in FlooNoC (1M) --> [[Category:In progress]]
  6 KB (897 words) - 19:52, 22 February 2024
• Investigation of Quantization Strategies for Retentive Networks (1S)
  [[Category:In progress]] == Status: In Progress ==
  6 KB (844 words) - 14:28, 18 February 2024
• Advanced Data Movers for Modern Neural Networks
  In the current era of AI everything, efficient neural network inference has be In this uniquely vertical project, the student will have the opportunity to
  3 KB (418 words) - 16:18, 23 November 2023
• ASIC implementation of a beamspace massive MIMO-OFDM detector for 5G/6G
  ...ss channels, orthogonal frequency division multiplexing (OFDM) is employed in the 5G standard [1], like many other standards such as LTE and IEEE 802.11 * Large number of basestation (BS) antennas in massive MIMO results in large data dimensions to be processed, which makes the detection task compl
  7 KB (939 words) - 15:51, 28 April 2024
• Deep Learning Based Anomaly Detection in ECG Signals Using Foundation Models
  ...l representation of the heart's electrical activity. ECGs are instrumental in identifying various heart conditions, including arrhythmias, myocardial inf ...for detecting anomalies in ECG signals, utilizing the latest advancements in deep learning and foundational models. This system is designed to leverage
  6 KB (803 words) - 19:08, 14 December 2023
• Exploratory Development of a Unified Foundational Model for Multi Biosignal Analysis
  ...le in diagnosing, monitoring, and understanding various health conditions. In the realm of biosignal interpretation, diverse types of signals like electr ...a more comprehensive and holistic view of a patient's physiological state. In medical research, this approach can facilitate a more integrated understand
  6 KB (811 words) - 18:00, 15 December 2023
• A RISC-V ISA Extension for Scalar Chaining in Snitch (M)
  <!-- A RISC-V ISA Extension for Scalar Chaining in Snitch (1M) --> [[Category:In progress]]
  7 KB (1,153 words) - 18:58, 21 April 2024
• ASR-Waveformer
  == Status: In Progress == [[Category:In progress]]
  10 KB (1,368 words) - 11:50, 18 March 2024
• On-Device Federated Continual Learning on Nano-Drone Swarms
  This approach is crucial for applications in dynamic environments where data distributions change or new tasks emerge. This is crucial for privacy-sensitive applications and in scenarios where data cannot be centralized due to bandwidth or regulatory c
  10 KB (1,377 words) - 00:49, 29 February 2024
• On-Device Learnable Embeddings for Acoustic Environments
  ...oom. We want to explore how environment-specific features can be exploited in order to improve the accuracy of a small-footprint KWS model. ...aring their interests against clusters formed by other users’ interests. In other words, the engine adapts itself based on user-specific features.
  11 KB (1,500 words) - 01:10, 29 February 2024

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