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Supporting Students in Service Learning: EPICS in IEEE Funding and Resources

Supporting Students in Service Learning: EPICS in IEEE Funding and Resources

This virtual event is for faculty that want to help support students as they navigate service learning projects in which they are delivering engineering solutions to a community challenge. Whether the project is through their engineering curriculum or it is extracurricular, this webinar will highlight the ways that the Engineering Projects in Community Service (EPICS in IEEE) program can help ...

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IEEE Foundation and IEEE Educational Activities: Inspiring the Technologists of Tomorrow

IEEE Foundation and IEEE Educational Activities: Inspiring the Technologists of Tomorrow

IEEE Foundation and IEEE Educational Activities: Inspiring the Technologists of Tomorrow Educating the next generation of innovators and engineers is one of the core pillars of the IEEE Foundation with IEEE Educational Activities (EA) and their portfolio of University and Pre-University programs. During this session, you’ll hear from Stephen Phillips, former Vice President of EA and current IEEE...

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IEEE Education Week Unilag

IEEE Education Week is a weeklong celebration of educational opportunities provided by the world’s largest technical professional association and its organizational units, societies and councils. At the IEEE Unilag SB, we'd be having a 2-day event to celebrate these opportunities. Day 1 - 5th April, 2023. Day 2 - 7th April, 2023. Ranging from panel sessions to workshops, to a keynote address and...

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IEEE Educational Activities Workshop

🤩 𝗜𝗘𝗘𝗘 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲, 𝗜𝗘𝗘𝗘 𝗕𝗼𝗺𝗯𝗮𝘆 𝗦𝗲𝗰𝘁𝗶𝗼𝗻 is excited to announce the celebration of IEEE Education Week via setting up platform for all interested members in Educational Activities in the form of...

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IoT for Smart City

IoT is one of the advanced technologies, which has enormous applications with very high social impact. The smart city is one such application, where IoT will have a high impact on automated systems for the citizens. It helps in the tremendous enhancement of digital technology, which is one of the govt policies to implement everywhere to fasten the process for the betterment of qualitative human ...

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IEEE Puzzlers – IEEE Education Week Quiz!

Are you up for the challenge? What better way to celebrate IEEE Education Week than with IEEE Puzzlers! Keep your brain sharp and join the puzzlers for a LIVE quiz session on quizizz The quiz finalists will win IEEE Puzzlers Goodies! The rules are simple: In order to be eligible to win, you have to: - Register to the Live event - Attend the Live event on Saturday April 8th, 2023 at 3:30PM GMT. - ...

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IEEEXtreme 17.0 Worldwide Computer Coding Competition

Now in its 17th year, IEEEXtreme is a global challenge in which teams of IEEE Student members – each advised and proctored by an IEEE member, and often supported by an IEEE Student Branch – compete in a 24-hour time span against each other to solve a set of programming problems. Teams compete for local and global rank, certificates, and prizes. Team registration opens in August, 2023. All IEEE...

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NAVA 2.0_ Future of Electronics Careers

On the occasion of IEEE Education Week Celebration, IEEE Women in Engineering Affinity Group College of Engineering Chengannur is delighted to present NAVA 2.0: Enlighten to Empower, a week long event to develop knowledge and expand technical skillsets. As part of Nava 2.0, an online talk session " Future of Electronics Careers" with Rony Alex Thomas, SoC Design Engineer at Intel, Chair of ...

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IEEE: Educating for the Future

Join us for a keynote presentation to kick off IEEE Education Week featuring 2024 IEEE President and CEO, Tom Coughlin. In this exclusive session, President Coughlin will discuss priorities for 2024, including retaining younger members, the future of education, key topics related to industry engagement and workforce development and how all these priorities all tie together...

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“A Journey into Neuromorphic Computing: Models, Algorithms, and Implementations” by Dr. Qinru Qiu

I will introduce several typical computing models of neuron and synapses that can be utilized to build spiking neural networks (SNNs). Additionally, selected inference and learning algorithms for SNNs will be discussed, followed by a brief overview of existing hardware and software solutions for implementing neuromorphic computing. I will further present our Error-Modulated Spike-Timing-Dependent ...

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