Center for Complex Systems (@ccs_kacst_mit) 's Twitter Profile
Center for Complex Systems

@ccs_kacst_mit

A partnership between @KACST and @MIT to conduct cutting-edge research and train a new generation of exceptionally skilled and experienced technology leaders.

ID: 1212282103028563969

linkhttps://jcep.kacst.edu.sa/center-main/ccs calendar_today01-01-2020 08:01:14

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A team of CCS researchers successfully managed to build a small radar capable of taking Synthetic-Aperture Radar (SAR) images. The parts were provided by MIT Lincoln Laboratory as part of an IAP course given by MIT

A team of CCS researchers successfully managed to build a small radar capable of taking Synthetic-Aperture Radar (SAR) images. The parts were provided by MIT Lincoln Laboratory as part of an IAP course given by MIT
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The first open source automated machine learning library for electronic healthcare data "Cardea", was produced by one of the successfully ended CCS projects in 2019.

The first open source automated machine learning library for electronic healthcare data "Cardea", was produced by one of the successfully ended CCS projects in 2019.
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CCS was invited to participate in the 3rd Saudi International Exhibition & Conference for the Internet of Things (IoT). Where we showcased some of the tools and technologies for smart cities, which are being developed at CCS, such as the Smart City Platform.

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In allegiance with Vision 2030 to support local content and boost GDP. Smart Logistics is a project aimed at the advancements of #Industry4_0 utilizing modeling and simulation to test and recommend different policies & technologies (e.g. IoT, AGVs, or edge intelligence).

In allegiance with Vision 2030 to support local content and boost GDP. Smart Logistics is a project aimed at the advancements of #Industry4_0 utilizing modeling and simulation to test and recommend different policies & technologies (e.g. IoT, AGVs, or edge intelligence).
Center for Complex Systems (@ccs_kacst_mit) 's Twitter Profile Photo

باستخدام تقنيات التعلم العميق لتحليل صور الأقمار الصناعية، تمكن فريق من الباحثين في مركز النظم المركبة من تطوير خوارزمية ذكاء اصطناعي ذاتية التدريب (تم تدريبها على مدن المملكة) تقوم بالتعرف على السيارات والمباني والطرق والنباتات بدقة عالية من صور الأقمار الصناعية. مثال لحي المروج

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Using deep learning techniques and image processing, a novel self-supervised algorithm was successfully developed by the team at CCS to detect and segment vehicles, roads, buildings and vegetation with high accuracy from satellite imagery. Case study: Almurooj neighborhood.

Ahmad Alabdulkareem أحمد العبدالكريم (@ahmad__kareem) 's Twitter Profile Photo

At the end of this amazing journey, having the honor of heading Center for Complex Systems, I couldn't be prouder of the outstanding team at the center. You were truly more than anyone could have asked for in a team. Congratulations to you all on your acceptances this year, well deserved👏

At the end of this amazing journey, having the honor of heading <a href="/CCS_KACST_MIT/">Center for Complex Systems</a>, I couldn't be prouder of the outstanding team at the center. You were truly more than anyone could have asked for in a team. 

Congratulations to you all on your acceptances this year, well deserved👏
Ahmad Alabdulkareem أحمد العبدالكريم (@ahmad__kareem) 's Twitter Profile Photo

في نهاية رحلتي التي تشرفت بها في الاعوام السابقة، كرئيس Center for Complex Systems، تعجز الكلمات عن التعبير بما أشعر به من الفخر تجاه كل فرد منكم، وهذه الجامعات التي قبلتم فيها هذه السنة هي من أكبر لحظات الفخر لي في حياتي، مبروك لنا جميعا 👏! وأدعوا لكم التوفيق دوما وابدا🤲

في نهاية رحلتي التي تشرفت بها في الاعوام السابقة، كرئيس <a href="/CCS_KACST_MIT/">Center for Complex Systems</a>، تعجز الكلمات عن التعبير بما أشعر به من الفخر تجاه كل فرد منكم، وهذه الجامعات التي قبلتم فيها هذه السنة هي من أكبر لحظات الفخر لي في حياتي، مبروك لنا جميعا 👏!

 وأدعوا لكم التوفيق دوما وابدا🤲