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Shaping the Future of Telecom: News & Updates

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Welcome, Alireza, to the AID Edge Inc. Team! - January 20, 2025

We are thrilled to announce that 𝐀𝐥𝐢𝐫𝐞𝐳𝐚 has joined 𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜. as a 𝐃𝐞𝐯𝐎𝐩𝐬 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭!

𝐀𝐥𝐢𝐫𝐞𝐳𝐚, joining us from 𝐆𝐨𝐭𝐞𝐧𝐛𝐮𝐫𝐠, 𝐒𝐰𝐞𝐝𝐞𝐧, brings a unique mix of passion and technical expertise to our mission of driving innovation in 𝐄𝐝𝐠𝐞 𝐀𝐈, 𝐓𝐢𝐧𝐲𝐌𝐋, and 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧.

With his focus on building 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬, Alireza will play a pivotal role in enhancing our projects and pushing the boundaries of connectivity.

Please join us in giving 𝐀𝐥𝐢𝐫𝐞𝐳𝐚 a warm welcome to the 𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜. family!

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Upcoming Events

At AID Edge Inc., we are dedicated to shaping the future of Edge AI and TinyML. Our participation in key industry events demonstrates our commitment to staying at the forefront of innovation and collaboration.

 

- BLUEPRINTS: Building Edge AI Solutions in the Real World

 Event by EDGE AI FOUNDATION *Date:* January 21, 2025 Details: Join us as we explore practical solutions for Edge AI in the real world, sharing insights and gaining inspiration for our groundbreaking projects.

- IEEE P7009.1 Working Group Meeting (Formal)- Date: January 30, 2025

Details: As part of this IEEE initiative, we are contributing to discussions on best practices and standards that shape the AI industry's future.

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EDGE AI FOUNDATION Austin 2025: Research Symposium - Feb 25-27, 2025 

AID Edge Inc. is excited to participate in the upcoming EDGE AI FOUNDATION Austin 2025: Research Symposium, taking place in Austin, Texas from February 25-27, 2025. This prestigious event gathers top researchers and industry innovators to explore cross-layer advancements in TinyML and AI, particularly for resource-constrained environments.

The symposium welcomes groundbreaking research in areas such as:

  • Efficient AI optimization, including techniques like pruning and quantization.

  • On-device learning and emerging algorithms for low-footprint computing.

  • Novel applications in GenAI, neural architecture design, and memory system optimization.

  • MLOps and end-to-end development environments.

  • Security, privacy, benchmarking, and reliability in TinyML solutions.

Our team looks forward to engaging with the research community, sharing insights, and staying at the forefront of cutting-edge developments that will shape the future of edge AI and resource-efficient computing.

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AID Edge Inc. Participates in Generative AI at the Edge Webinar – January 7, 2025

 

 

At AID Edge Inc., we are dedicated to staying at the forefront of technological advancements in Edge AI and TinyML. As part of this commitment, we are excited to announce our participation in the upcoming Generative AI at the Edge webinar on January 15th, 2025. This webinar aligns with our mission to push the boundaries of connectivity for a better world. Engaging with thought leaders and exploring emerging technologies ensures that AID Edge Inc. remains at the cutting edge of industry advancements. Stay tuned for updates as we continue to explore, innovate, and lead in the realm of Edge AI and TinyML.

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𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜. 𝐖𝐞𝐥𝐜𝐨𝐦𝐞𝐬 Dr. Ryan 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐞𝐚𝐦! -  2024-12-03

We are excited to announce that Dr. Ryan Jafari has joined us as a Network Simulation and Optimization Consultant!

Dr. Ryan holds a PhD in Electrical and Software Engineering and is an expert in wireless networks, 5G, 6G, and physical layer simulations. His contributions will be instrumental in advancing our mission to redefine connectivity and build more resilient networks.

Here’s why Dr. Ryan’s work is critical:

In modern networking, one of the biggest challenges is predicting and managing outages. Large-scale outages—like those seen at Rogers and Microsoft—often create data gaps, making it difficult to train machine learning models for outage prediction. Even cutting-edge tools like Generative AI fall short without sufficient data.

Dr. Ryan’s expertise in network simulation provides a groundbreaking solution. By simulating these outages, we can generate the necessary datasets to train AI models and create predictive solutions that help prevent future disruptions.

We’re thrilled to have Dr. Ryan join us and look forward to the incredible impact his expertise will bring to our team.

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We are excited to announce that 𝐌𝐮𝐛𝐢𝐧 has joined 𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜. as our first 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫! 🎉

This marks a pivotal moment in our journey as a company committed to “𝐏𝐮𝐬𝐡𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐨𝐮𝐧𝐝𝐚𝐫𝐢𝐞𝐬 𝐨𝐟 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐟𝐨𝐫 𝐚 𝐁𝐞𝐭𝐭𝐞𝐫 𝐖𝐨𝐫𝐥𝐝.”

Mubin’s 𝐬𝐤𝐢𝐥𝐥𝐬 𝐚𝐧𝐝 𝐝𝐞𝐝𝐢𝐜𝐚𝐭𝐢𝐨𝐧 align perfectly with our mission, and we are confident that his contributions will help us shape an innovative and connected future.

At 𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜., we believe that every team member plays a vital role in driving growth and innovation, and Mubin’s arrival strengthens our foundation as we build toward impactful milestones.

Please join us in welcoming 𝐌𝐮𝐛𝐢𝐧 to the 𝐀𝐈𝐃 𝐄𝐝𝐠𝐞 𝐈𝐧𝐜. 𝐟𝐚𝐦𝐢𝐥𝐲! 

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AID Edge Inc. is excited to attend the MLSysBook.AI Talk, featuring Professor Vijay Reddi from Harvard University. This event, hosted by the Edge AI Foundation, will explore advancements in the curriculum for Edge AI and Machine Learning. Professor Reddi will dive into essential topics and share valuable insights aimed at broadening the understanding of engineering in machine learning systems. We look forward to engaging with the community and gaining insights that will help us continue pushing the boundaries of innovation in AI and telecommunications.

AID Edge Inc. © 2025 

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