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  • Although our idea works well in theory, we have not implemented any peripherals or a demonstrator system ye ...l system for high-performance and energy-efficient SoCs and demonstrate it in a compact RISC-V-based microcontroller on real silicon.
    11 KB (1,675 words) - 15:40, 15 March 2021
  • ...bacteriuria. Approximately one-third of urinary catheters are applied not in the context of enabling the release of urine, but instead, are used to moni In this project, we aim to develop an alternative, non-invasive method to meas
    6 KB (857 words) - 15:37, 10 November 2020
  • ...lass systems (MCUs) has seen intense attention from the research community in recent times, with the current state of the art being represented by MCUNet ...and deploy mixed-precision networks on PULP-based systems. More precisely, in this project, you will:
    5 KB (784 words) - 11:32, 29 October 2021
  • ...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|[2]]
    7 KB (942 words) - 13:59, 15 February 2024
  • Neural Nets are achieving record-breaking results in all common machine learning tasks and reached high attention of the machine ...nd made the headline by beating the 2nd best player in the world Lee Sedol in the game Go [1]. A game which were considered to be too complex to be solve
    6 KB (828 words) - 16:26, 20 February 2018
  • ...itoring, and detection of events related to the wearer (e.g. abnormalities in physiological functions, detection of seizures and symptoms, patterns of mo ...rate (e.g. sampling frequency) sufficient for the particular application, in order not to miss the event. However, the rate of occurrence of the event
    7 KB (895 words) - 17:02, 28 July 2017
  • ...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
  • ...ts default configuration [<nowiki/>[[#ref-snitch|4]]] |The Snitch cluster in its default configuration [<nowiki/>[[#ref-snitch|4]]] ]] ..., peripherals, and a tightly-coupled memory form a Snitch cluster as shown in [[#fig:snitch_bd|2]].
    11 KB (1,617 words) - 23:59, 6 February 2021
  • ...level semantically rich information out of raw data is deep learning, and in particular deep convolutional neural networks (CNNs). The task of inference ...tand-alone ASICs for aggressively quantized CNNs (''YodaNN'' [Andri2017]), in the Ergo project we want to design a PULP-based entire computation cluster
    7 KB (961 words) - 21:21, 29 January 2019
  • ...s the inspection of industrial facilities or cultivated fields, assistance in natural disaster or hazardous areas, etc. ...no-scale, featuring only few centimeters in diameter and few tens of grams in weight.
    6 KB (875 words) - 11:06, 23 February 2018
  • ...level semantically rich information out of raw data is deep learning, and in particular deep convolutional neural networks (CNNs). The task of inference ...tand-alone ASICs for aggressively quantized CNNs (''YodaNN'' [Andri2017]), in the Ergo project we want to design a PULP-based entire computation cluster
    6 KB (949 words) - 13:41, 10 November 2020
  • ...s possible to greatly reduce the amount of data that needs to be collected in a ULP sensor node and sent to a higher-level computing device (e.g. a smart ...icial cochlea strives to replicate this functionality in a silicon sensor. In nature, the spiking representation conveys enough information for us to rec
    6 KB (920 words) - 16:33, 3 October 2019
  • ...med in order to study the portability and to overcome eventual limitations in the initial MCU. ...on capability where the UAV is able to collected data from sensor deployed in a field.
    6 KB (842 words) - 16:18, 20 February 2018
  • ...gradient descent) is linear in the data set size, making it more appealing in big data contexts than, for instance, support vector machines (SVMs). DNNs ...the pressure of DNNs on the underlying computing infrastructure, research in computational deep learning has focussed on two families of optimizations:
    18 KB (2,473 words) - 19:29, 19 February 2024
  • ...on, it suffers from very large charging times and very short flight times. In this project, we explore another type of UAV, a blimp, whose helium-filled ...used to directly power the blimp, either in a slow continuous movement, or in a burst-like fashion.
    6 KB (914 words) - 16:17, 20 February 2018
  • Empirical evidence is supporting confidence in the fact that quantisation-aware training algorithms are necessary when tar Most algorithms in this family interpret the quantisation problem as an approximation task, wh
    6 KB (868 words) - 14:15, 15 February 2024
  • Neural Nets are achieving record-breaking results in all common machine learning tasks and reached high attention of the machine ...own to be reduced by about 10% or less. (75% instead of 85% Top-1 accuracy in the sound recognition CNN.)
    6 KB (823 words) - 08:36, 20 January 2021
  • ...orking principles of the brain, allowed to achieve superhuman performances in many fields, redefining the state of the art for computer vision, text and ...fixed-point precision arithmetic, aligned with the standard precision used in deep learning field.
    7 KB (1,001 words) - 10:43, 26 June 2017
  • ...in Zurich and Lausanne University Hospital and Neural Control of Movement in the Department of Health Sciences and Technology (D-HEST prof Nicole Wender ...re development IDE, PCB Design etc.) as well as to sensors that are unique in the world provided as early access by collaborative companies (such as STMi
    7 KB (1,033 words) - 16:24, 30 November 2020
  • ...ge quality, even on mobile devices, has lead to an increase in pixel count in smartphone cameras over the last decade [[#ref-Skafisk2017|&#91;1&#93;]]. ...c array is the coarse grained reconfigurable architecture (CGRA). As shown in [[#fig:cgra|1]], these architectures implement a systolic array of configur
    13 KB (1,887 words) - 15:51, 17 November 2021

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