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• FPGA acceleration of ultrasound computed tomography for in vivo tumor screening
  ...eases the speed of sound (SoS) and acoustic attenuation (AA). The computer vision laboratory at ETHZ developed and patented a hand-held ultrasound technology ...a [mailto:sasergio@vision.ee.ethz.ch sasergio@vision.ee.ethz.ch] (Computer Vision Lab ETHZ)
  3 KB (411 words) - 14:07, 30 August 2017
• Learning Image Compression with Convolutional Networks
  ...wn break-through performance and/or performance-per-power on many computer vision tasks such as classification, image segmentation, optical flow and super-re
  3 KB (362 words) - 16:25, 30 October 2020
• Bringing XNOR-nets (ConvNets) to Silicon
  ...of multiple layers of filter banks. Almost all state-of-the-art synthetic vision systems are based on features extracted using multi-layer convolutional net * Interest in VLSI architecture exploration and computer vision
  10 KB (1,357 words) - 16:25, 30 October 2020
• Real-time eye movement analysis on a tablet computer
  ...developing such a mobile eye tracker which can be controlled with a table computer running a custom, android-based app from the IIS.
  2 KB (319 words) - 15:09, 6 January 2022
• Sensor Fusion for Rockfall Sensor Node
  * Computer vision course (optional)
  2 KB (352 words) - 11:51, 21 August 2018
• Single-Bit-Synapse Spiking Neural System-on-Chip
  ...ess and its potential applications to sensor networks, robotics, low-power vision and other fields. An interesting approach is that followed by the IBM TrueN * to have prior knowedge of hardware design and computer architecture - having followed the Advances System-on-Chip Design course is
  7 KB (1,000 words) - 12:22, 13 January 2017
• Convolution Neural Networks on our Ultra-Low Power Mult-Core Plattform PULP
  ...ing binary convolutional neural networks." European Conference on Computer Vision. Springer International Publishing, 2016. ...network accelerator based on binary weights." In VLSI (ISVLSI), 2016 IEEE Computer Society Annual Symposium on, pp. 236-241. IEEE, 2016.
  6 KB (823 words) - 08:36, 20 January 2021
• Variable Bit Precision Logic for Deep Learning and Artificial Intelligence
  ...performances in many fields, redefining the state of the art for computer vision, text and speech recognition, problem solving. * to have prior knowedge of hardware design and computer architecture - having followed the Advances System-on-Chip Design course is
  7 KB (1,001 words) - 10:43, 26 June 2017
• A Waypoint-based Navigation System for Nano-Size UAVs in GPS-denied Environments
  * Basic knowledge of Computer Vision (e.g., Visual Odometry).
  4 KB (605 words) - 16:35, 20 February 2018
• Human Intranet
  ...he functions provided by the body itself. Human Intranet presents a system vision in which, for example, disease would be treated by chronically measuring bi ...52/aab2f2/meta A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update]
  17 KB (2,419 words) - 20:09, 10 March 2024
• AMZ Driverless Competition Embedded Systems Projects
  ...the overhead of the network and to compute the first steps on the computer vision detection algorithms. ...g HW accelerators for part of the object detection algorithms for computer vision and/or LiDAR.
  6 KB (895 words) - 16:27, 30 October 2020
• Hardware Acceleration
  ...r alone. In low power computing, they allow complex tasks such as computer vision or cryptography to be performed under a very tight power budget. Without a
  7 KB (917 words) - 17:04, 24 November 2023
• BirdGuard
  This project aims to develop a solar-​powered and computer vision-​based sticker that can be mounted at the outside of a window to visually ...rning-based detection algorithms have revolutionized the field of computer vision and will thus be adopted for this application. The algorithm shall be valid
  5 KB (647 words) - 08:32, 23 February 2023
• A Flexible Peripheral System for High-Performance Systems on Chip (M)
  [[Category:Computer Architecture]] At IIS, we often tape out Systems on Chip (SoCs) to try out new computer-architectural concepts and extensions, often differentiated by small-scale
  11 KB (1,675 words) - 15:40, 15 March 2021
• A Snitch-based Compute Accelerator for HERO (M/1-2S)
  [[Category:Computer Architecture]] ...efficiency for embedded applications with heavier workloads, like computer vision tasks for unmanned aerial vehicles (UAVs) and machine learning inference.
  11 KB (1,617 words) - 23:59, 6 February 2021
• MemPool on HERO (1S)
  * to have prior knowledge of hardware design and computer architecture ...-low power parallel accelerator for energy-efficient and flexible embedded vision,”J. Signal Process. Syst., vol. 84, no. 3, p. 339–354, Sep. 2016.
  6 KB (902 words) - 19:07, 20 January 2021
• Combining Multi Sensor Imaging and Machine Learning for Robust Far-Field Vision
  Today, Machine Learning and Computer Vision are taking a central place in surveillance tasks. The surveillance of air s
  2 KB (349 words) - 15:53, 11 October 2021
• Low Resolution Neural Networks
  ...rious artificial intelligence tasks, including but not limited to computer vision and natural language processing. Due to high computational complexity, NNs [[Category:Computer Architecture]]
  4 KB (520 words) - 14:52, 24 November 2021
• Bridging QuantLab with LPDNN
  * Familiarity with computer vision tasks [[Category:Computer Architecture]]
  7 KB (831 words) - 19:36, 12 January 2023
• Efficient Execution of Transformers in RISC-V Vector Machines with Custom HW acceleration (M)
  [[Category:Computer Architecture]] ...uage processing and other recurrent machine learning tasks (e.g., computer vision, molecular dynamics).
  4 KB (549 words) - 11:35, 3 November 2023

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