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🌞 In reinforcement learning, an agent learns by receiving rewards for its actions. But not all rewards are the same. Som...
30/05/2026

🌞 In reinforcement learning, an agent learns by receiving rewards for its actions. But not all rewards are the same. Some rewards come only after reaching the final goal, while others guide the agent step by step.

📖 The reward function tells the AI what behavior is good and what it should learn to repeat.

This lets kids type an animal name and see its sound.
02/04/2026

This lets kids type an animal name and see its sound.

🎓 **PhD Admission Invitation | ICE, National Sun Yat-sen University (NSYSU), Taiwan — 2026–2027 Intake**If you (or someo...
02/03/2026

🎓 **PhD Admission Invitation | ICE, National Sun Yat-sen University (NSYSU), Taiwan — 2026–2027 Intake**

If you (or someone you know) is aiming for a PhD and genuinely excited about **wireless communications**, **next-gen networks**, and **EM wave technologies**, ICE at **NSYSU (Taiwan)** is welcoming **international PhD applicants** for the **2026–2027 intake**.

🔬 **Research areas include**
📡 Wireless communications • 🌐 Next-generation communication systems • 📶 EM wave technologies

🗓️ **Admission timeline**

* **Fall 2026**: Apply **Jan 15 – Mar 15, 2026** | Results before **Jun 5, 2026** | Start **mid-Sep 2026**
* **Spring 2027**: Apply **Aug 1 – Sep 30, 2026** | Results before **Dec 10, 2026** | Start **mid-Feb 2027**

⚠️ **One important note:** the **Advisor Consent Form is mandatory** (download it, get it signed, and upload it in the NSYSU application system).

🔗 **Official links**

* NSYSU Application: **admission.nsysu.edu.tw**
* ICE Website: **ice.nsysu.edu.tw/?Lang=en**
* ICE Requirements: **ice.nsysu.edu.tw/p/404-1209-343065.php?Lang=en**
* NSYSU OIA Guide: **oia.nsysu.edu.tw/p/404-1308-368367.php?Lang=en**

🏛️ **i-WiC Laboratory | ICE, NSYSU, Taiwan**
Website: **iwic.tw** | ResearchGate: *Intelligent Wireless Communication (i-WiC) Lab*

Feel free to **tag someone** who’s planning a PhD in communications/wireless—or **share** this with your network.

🌏 **IMPTE Admissions (2026–2027) | NSYSU, Taiwan — Now Welcoming International Applicants!** If you’re looking for an **...
02/03/2026

🌏 **IMPTE Admissions (2026–2027) | NSYSU, Taiwan — Now Welcoming International Applicants!**

If you’re looking for an **English-friendly Master’s pathway in Telecommunication Engineering** with hands-on training and real research exposure, the **International Master’s Program in Telecommunication Engineering (IMPTE)** at **National Sun Yat-sen University (NSYSU)** is a strong option—especially if you’re excited about **wireless communications** and beyond-5G/6G research opportunities with the **i-WiC Laboratory**.

🔔 **Admission Timeline**

* **Fall 2026**: Apply **Jan 15 – Mar 15, 2026** | Result before **Jun 5, 2026** | Start **mid-Sep 2026**
* **Spring 2027**: Apply **Aug 1 – Sep 30, 2026** | Result before **Dec 10, 2026** | Start **mid-Feb 2027**

✅ **Prepare These Early**

* Recommendation letters
* Study plan + CV/autobiography
* Financial proof (**USD 4,000** or **NTD 120,000** minimum)
* English proficiency proof (department requirement)

🗂️ **Quick Notes**

* **No application fee** for international degree applicants
* You can apply to **up to 2 programs** (enroll in **only 1** if admitted to multiple)

🔗 **Apply / Learn More**

* Apply: **admission.nsysu.edu.tw**
* IMPTE: **ipt.nsysu.edu.tw**
* i-WiC Lab: **iwic.tw**

📩 If you’re interested, feel free to **comment “IMPTE”** or message me—happy to share tips on preparing a strong study plan and application packet.

🚀 IWS-6G 2025 @ NSYSU (Kaohsiung) — a 2-day free seminar series on what’s coming next in wirelessIf you’ve ever wondered...
03/12/2025

🚀 IWS-6G 2025 @ NSYSU (Kaohsiung) — a 2-day free seminar series on what’s coming next in wireless
If you’ve ever wondered “What will 6G actually look like?” or “How will future networks support AI, IoT, and security?”—this event is made for you.

🗓️ Dec 15–16, 2025 (Mon–Tue)
🌏 Hybrid: Join on-site or online
✅ FREE registration (required)
📍 NSYSU, EC Building, Conference Room EC2002 (Kaohsiung)

🙏 A sincere thank you to Dr. Keshav Singh for the time, energy, and commitment he is putting into organizing this workshop and bringing an international speaker lineup to NSYSU. (Dr. Keshav Singh [Organizer & Workshop Secretariat — Institute of Communications Engineering, NSYSU])

✅ Free registration link: https://forms.gle/euciL7JFqtL164pS9

🗺️ Venue map: https://maps.app.goo.gl/sDDBkb2KnZs1N3v7A
What you’ll get from attending (in plain words)

This isn’t just “future talk.” These topics connect to real things we’ll need soon:

📡 Faster + more reliable wireless for campuses, factories, and crowded places
🌱 Low-power IoT for smart cities, farming, logistics (devices that must last on tiny energy)
🧠 AI in wireless so networks can learn and optimize automatically
🔐 Privacy-friendly AI (Federated Learning) so we can train models without sharing raw data
⚛️ Quantum + wireless — a simple roadmap of what it is and why it matters

And there’s a lab tour with live demos, so you can see real systems—not only slides.

🎙️ Talks you can look forward to (simple + why it matters)
Day 1 — Dec 15 (Mon)

1) Prof. Zhiguo Ding (University of Manchester, UK)
What it’s about: A new type of antenna idea called Pinching-Antenna Systems (PASS)—hardware that can “shape” the wireless link.
Why it matters: It could make wireless links stronger and more reliable, especially for next-generation systems.

2) Prof. Octavia A. Dobre (Memorial University, Canada)
What it’s about: How wireless research is starting to connect with quantum computing—what that means and what’s realistic.
Why it matters: Quantum could change how we solve hard problems in networks, security, and optimization in the future.

3) Prof. Shankar Prakriya (IIT Delhi, India)
What it’s about: Wireless networks where devices have very limited battery/energy (like sensors and machine-type devices).
Why it matters: This is exactly what smart cities and large IoT systems face—battery is the real bottleneck.

4) Prof. Geoffrey Ye Li (Imperial College London, UK)
What it’s about: Federated Learning (training AI without sending raw data) and what happens when wireless channels are imperfect.
Why it matters: If we want private AI at the edge (healthcare, vehicles, IoT), FL must work under real wireless conditions.

Day 2 — Dec 16 (Tue)

5) Prof. Sudhan Majhi (Indian Institute of Science, India)
What it’s about: How AI/ML can help wireless networks—from signal processing to smarter decisions.
Why it matters: Future networks won’t be managed manually; they’ll be AI-assisted and self-optimizing.

6) Prof. Yuanwei Liu (The University of Hong Kong)
What it’s about: PASS again, but focused on how it can move wireless toward “near-wired” performance.
Why it matters: This could enable ultra-high reliability links for XR, industrial control, and dense networks.

7) Prof. Sudip Biswas (IIIT Guwahati, India)
What it’s about: Quantum explained clearly—basics to applications in communication (like quantum security).
Why it matters: Quantum communication is becoming a serious part of the “security future,” and this talk gives you the big picture.

8) CTL Lab Tour + Live Demo (NSYSU) — Prof. Chao-Kai Wen
What it’s about: A tour of NSYSU’s Communication Technology Lab (CTL) with RIS demos and real testbed demonstrations.
Why it matters: Seeing working systems makes everything click—and often sparks collaboration ideas.

👥 Who should join?
Students, researchers, engineers, and curious learners—especially if you’re into wireless, AI, IoT, security, sensing, or future networks.

✅ Register FREE: https://forms.gle/euciL7JFqtL164pS9

📍 Map: https://maps.app.goo.gl/sDDBkb2KnZs1N3v7A
If you have friends in communications/AI/IoT, please tag them or share this post—this is a rare lineup and a great chance to learn. 🙌

22/11/2025

Anybody wants to learn python programming?

Know what it means
22/11/2025

Know what it means

https://www.facebook.com/share/p/1C99STN1Ju/
16/11/2025

https://www.facebook.com/share/p/1C99STN1Ju/

🚨 Want to finally “get” Machine Learning without reading 500 pages?

Here’s a **1-page ML brain map** 🧠👇

On this single sheet you can see:
✅ What “learning from data” actually means
✅ Classification vs Regression (with tiny visuals)
✅ Supervised vs Unsupervised at a glance
✅ Overfitting vs Underfitting & bias–variance
✅ Parametric vs Non-parametric models
✅ Why high dimensions hurt you (curse of dimensionality)
✅ A quick checklist to see if you *really* understand the basics

Use it like this:
📌 Save it
🔍 Zoom in and study for 5–10 minutes
🔁 Revisit before exams, interviews, or new ML projects

Tag someone who keeps saying “I’ll start ML soon” 😄

Join us at IWS-6G 2025 @ NSYSU, Kaohsiung (Dec 15–16).Cutting-edge talks on near-field 6G, AI/ML for 6G, RIS & PASS arch...
12/11/2025

Join us at IWS-6G 2025 @ NSYSU, Kaohsiung (Dec 15–16).
Cutting-edge talks on near-field 6G, AI/ML for 6G, RIS & PASS architectures, reliable comms, and SWIPT, plus a Communication Technology Lab (CTL) tour.
Perfect for students, faculty, and industry engineers.
📍 EC2002, NSYSU • 🗓️ Dec 15–16
🔗 Register: https://lnkd.in/gjyDHCD7
(or scan the QR on the poster)









31/10/2025

Consistency is better than Intensity 👍👍

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