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Intro to HI-TECH Fields
Intro to HI-TECH Fields
The IEEE Student Branch announced its new activity Intro to HI-TECH Fields in collaboration with Exalt Technology, for all students interested in learning about multiple technological fields in the market. It's an online meeting that introduced areas of specialization in technology, how to start and what it takes to dive into it, in addition to ... Read more
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New avenues in the field of green and renewable energy
New avenues in the field of green and renewable energy
The current produced by photovoltaic cells is a direct current. You need an inverter to turn it into the alternating current that matches the electricity grid. It was no longer just an inverter but a tool that enabled remote monitoring and optimization of individual solar panels (according to the direction of the sunlight, shade, and ... Read more
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Monthly webinar – The European Processor Initiative (EPI) project
Monthly webinar – The European Processor Initiative (EPI) project
Monthly webinar - The European Processor Initiative (EPI) project Speaker: Prof. Jesus Labarta, Universitat Politècnica de Catalunya – UPC & BSC Date: Tuesday, January 11th, 2022 4 PM (Israel Time), Dear IEEE Israel chapter members, Dear guests, The IEEE Computer Society Israel launches the first webinar out of a series of webinars in different areas ... Read more
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DIGITAL SYSTEMS ENGINEERING AS A NEW CHALLENGE AND AN OPPORTUNITY FOR SYSTEMS ENGINEERING
DIGITAL SYSTEMS ENGINEERING AS A NEW CHALLENGE AND AN OPPORTUNITY FOR SYSTEMS ENGINEERING
INVITATION & PROGRAM FOR JANUARY 18-19,2022 DIGITAL SYSTEMS ENGINEERING AS A NEW CHALLENGE AND AN OPPORTUNITY FOR SYSTEMS ENGINEERING A Virtual Event which is Conducted Remotely The Lectures in Hebrew will be Translated Simultaneously into English ORGANIZED BY THE GORDON CENTER FOR SYSTEMS ENGINEERING WITH THE SUPPORT OF IAI, RAFAEL, INCOSE_IL IN CONJUCTION WITH JOSEPH ... Read more
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Bringing ML to the extreme edge: a story of co-optimizing processor architectures, scheduling and models
Bringing ML to the extreme edge: a story of co-optimizing processor architectures, scheduling and models
We invite you to a free online seminar on “Bringing ML to the extreme edge: a story of co-optimizing processor architectures, scheduling and models” given by Prof. Marian Verhelst, KU Leuven, Belgium. Deep neural network inference comes with significant computational complexity, making their execution until recently only feasible on power-hungry server or GPU platforms. The ... Read more
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