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🌟Stay tuned for more events from MLDA@EEE!πŸ€–
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πŸ“£ Subcommittee Recruitment: Deep Learning Week 2026

DLW brings together some of the most passionate and curious minds across NTU to build one of the university’s most exciting student-run events. For 2026, we’re assembling a dedicated subcommittee, and we need you!

🧭 Open Roles (All WSS-Paid):
β€’ Academics – Problem setting, mentoring & workshop prep
β€’ Operations – Logistics, manpower & event execution
β€’ Design & Innovation – Graphics, reels, social media & branding
β€’ Corporate Relations (Sponsorships & Affiliations) – Industry partner management

πŸš€ Why Apply?
β€’ Get paid via Work Study Scheme (WSS)
β€’ Work on a high-impact, cross-disciplinary initiative
β€’ Build resume-worthy experience & expand your network

⏳ Applications close 22 August 2025, 23:59

πŸ”— Apply now: tinyurl.com/dlw2026subcom
πŸ’Ό More info on roles: tinyurl.com/dlw2026portfolios

For questions about roles or the application process, feel free to reach out on Telegram:

πŸ“© Saba (@sabb_exe)
πŸ“© Thanmaya (@thanmayabp_615)
πŸ“© Shrujan (@vvryx)
πŸš€ Ready to launch your journey in AI?

Learnova is MLDA@EEE’s beginner-friendly programme to kickstart your growth in AI, ML & Data Science, through guided sessions, weekly workshops & a supportive community.

Topics: ML, DL, Computer Vision, NLP, LLMs, Agentic AI & more
Format: Weekly Thurs evenings, 7–9 PM

🌟 Why join?
- Hands-on workshops + trainer guidance
- Priority access to events, mentorship & resources
- Gain CCL + Certificate of Completion
- Build an Industry relevent agentic AI project to boost your Resume!

✨ Low commitment, high impact, your launchpad into AI!

πŸ‘‰ Join Learnova today: [Sign up form]
πŸ‘‰ For More Information: [Handbook]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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πŸ“£ Introducing the MLDA@EEE Podcast Series
Episode 1: The Robot Playbook.


πŸ”₯Featuring: Jiafei Duan [Portfolio]
Former MLDA President β†’ UW CSE PhD β†’ AI2 researcher, ex-NVIDIA Robotics. Works on robotics foundation models and embodied AI (think AR2-D2, RoboPoint, Colosseum, Molmo/MolmoAct).

πŸš€ What We’ll get into:
β€’ NTU β†’ A*STAR β†’ PhD @ U of Washington/AI2/NVIDIA: the real playbook (portfolio, cold emails, internships)
β€’ Train a robot without a robot (data shortcuts that actually work)
β€’ How robots decide where to act, explain failures, and generalize
β€’ Molmo/MolmoAct: plan-then-act models that make robots more steerable & interpretable
β€’ Practical β€œstart this week” steps for students + live Q&A

πŸ—“ Sat, 30th Aug 2025 | 4–6 PM
πŸ“ On campus (Details in Form)
πŸ”— Register Now, Limited Seats Left!: [Sign Up Form]

πŸ‘€
To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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Wanna build cool projects? We got your back.

MLDA@EEE Pronova 2025–26 Recruitment is OPEN!

MLDA’s flagship project track is back, where small teams take on cutting-edge, portfolio-worthy projects under mentorship. This year, we’re levelling up with industry collaborations. πŸ”₯

⚑️ 2025–26 Projects:
MLDA@Robo - Advancing autonomous ground navigation
Finance AI – Algo Trading (with NFC Quant)
Hardware for AI – FPGA accelerators (AMD Competition)
Quantum AI – K-Means + QAOA for finance
NVIDIA Industry Projects – exclusive collab!
(More information in Handbook and Dashboard)

✨ Why join?
βœ” Hands-on experience across robotics, finance, hardware & quantum.
βœ” Build projects that make your resume stand out.
βœ” Collaborate with peers + gain industry exposure.

Deadline: 8 Sept 2025, Monday
Handbook: [NVIDIA Handbook]
Apply here: [Sign Up Now]
Dashboard: [link]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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NO experience? NO problem!πŸ‘©β€πŸ’»
Learn AI from scratch with MLDA@EEE Learnova Workshop 1 ☝️

Dive into the fascinating world of Artificial Intelligence in Workshop 1: Machine Learning Fundamental Knowledge, being hosted in collaboration with TAISP!

πŸš€ Get ready to explore:
AI Fundamentals
Hands-On Linear Regression
Beyond Basics, a sneak-peak of neural networks!

JOIN US on this great opportunity to strengthen your foundation in machine learning, whether you’re completely new to AI or looking to deepen your understandingπŸ”₯

Date: 4 September 2025, Thursday
Time: 7:00 PM (light refreshment and networking session) to 9:10 PM
Venue: Lecture Theatre 17 (North Spine)

πŸ‘‰Apply Now: https://forms.gle/SAUupwCwBcYCkYJw9

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
Forwarded from Bhavya Sangal
⚑ Work with NVIDIA. Only at MLDA@EEE Pronova. ⚑

Pronova 2025–26 is here: and this year we’re bringing exclusive industry projects in collaboration with NVIDIA. πŸ’₯
That means you won’t just learn AI… you’ll build alongside one of the biggest names in the game.

✨ What you’ll get:
βœ” Hands-on NVIDIA-backed projects
βœ” Industry exposure that stands out
βœ” Mentorship + a team that delivers

πŸ“– Handbook: [NVIDIA Handbook]
πŸ“ Apply now: [Sign Up Form]

Spots are limited. πŸš€ Don’t miss your chance to co-create with NVIDIA

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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πŸ“Š Wanna learn how to make sense of messy data? Look no further.

MLDA@EEE Learnova Workshop 2 is HERE!

Master the art of Exploratory Data Analysis (EDA) with tools like Pandas, Seaborn, Matplotlib & more. No fluff, just hands-on skills.

🧠 What to Expect:
– EDA Fundamentals
– Visualize trends with Python tools
– Real-world finance + healthcare datasets
– K-Means, Decision Trees, and ML basics πŸ”₯

πŸ“… 11 Sept 2025 (Thu)
πŸ•– 7:40 PM – 9:10 PM
πŸ“ Venue: LT-17, North Spine
🎟 Open to all NTU students,
Limited Slots, Allotted on First Come-First Served Basis.

πŸ”— Sign up now! Scan the QR or click here πŸ‘‰ [https://forms.gle/mpCVVT3cMj1pyGsQA]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
🚨 DATATHON: Lifeline 2025 🚨

We’re excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.

This year’s theme challenges you to explore how AI can transform and support healthcare. Whether you’re new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.

πŸ’‘ Event Highlights
Judging Panel: Professors and researchers with expertise across machine learning, AI, and healthcare applications.
Prizes: A total of $800 up for grabs!
Eligibility: Open to all NTU students (especially Year 1 & 2). Each team must include at least 2 students from EEE.

πŸ“… Key Dates
Registration Period: 15–21 Sep
Build Sprint (Round 1): 29 Sep – 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM – 9:00 PM

⚑️ Spots are limited, register at https://tinyurl.com/datathonlifeline2025!

😊 PS: Even if you don’t have teammates right now, we can help you find them post-registration.
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Deep Learning models are getting smarter... are you? πŸ€“πŸ“Š

✨Learnova Workshop 3 is now open for registration!✨

Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 3: Deep Learning Fundamentals

Step into the world of:

πŸ‘ΎDeep Learning Fundamentals: Master the fundamentals behind how machines learnβ€”no prior experience needed!
πŸ‘ΎPractical Python Coding: Start your deep learning journey by coding real models in Python
πŸ‘ΎReal-World AI Applications: see how AI powers real-world tech.

πŸ“…Date: 18 September 2025 (Thu)
πŸ•–Time: 7:40PM-9:10PM
πŸ“Venue: LT17 (North Spine)

You don’t need a PhD to build AI. Just curiosity and code. πŸ‘©β€πŸ’»πŸ”₯
Join us and take your first step into the future of tech!

πŸ‘‰Apply Now: https://forms.gle/uSycuZxM8ALjTadD9

πŸ“© Follow us to stay updated on weekly workshop topics!
Follow us on Instagram
Join our broadcast channel on tele
Join our community channel
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🚨 LAST DAY TO REGISTER! 🚨

We’re excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.

This year’s theme challenges you to explore how AI can transform and support healthcare. Whether you’re new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.

πŸ’‘ Event Highlights
Judging Panel: Professors and researchers with expertise across machine learning, AI, and healthcare applications.
Prizes: A total of $800 up for grabs!
Eligibility: Open to all NTU students (especially Year 1 & 2). Each team must include at least 2 students from EEE.

πŸ“… Key Dates
Registration Period: 15–21 Sep
Build Sprint (Round 1): 29 Sep – 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM – 9:00 PM

Spots are limited, register at https://tinyurl.com/datathonlifeline2025 by Sunday, 21 September, 23:59 PM.

😊 PS: Even if you don’t have teammates right now, we can help you find them post-registration.
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πŸ“£ MLDA is back with another exciting episode of our Podcast Series! Episode 2: The Innovation Circuit

πŸ”₯ Featuring: Vatan Aksoy Tezer - Lead Robotics Engineer & Jakub Tomasek - Engineering Director at KABAM Robotics

πŸ€– What We’ll get into:
- How to build a career and break into robotics β€” from learning pathways to real-world projects
- Inside Singapore’s robotics ecosystem: opportunities, challenges, and what’s next
- Building deeptech startups and taking smart risks
- The entrepreneurial mindset β€” turning ideas into impact
- How students can thrive in high-impact, fast-paced environments
- Exploring AI and embodied intelligence β€” where machines start to think, move, and collaborate like us 🧠

πŸ—“ Sat, 11th Oct 2025 | 3.30 PM–6:00 PM
πŸ“ Gaia Innovation Port
πŸ”— Register Now, Limited Seats!: [https://tally.so/r/mO6XZK]

πŸ‘€
To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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πŸš€ MLDA Podcast Episode 2:
The Innovation Circuit

The MLDA Podcast brings live conversations with industry pioneers, researchers, and startup founders, connecting students with real innovators shaping the future of AI, and robotics.

This episode is all about NETWORKING, your chance to learn directly from some of Singapore’s leading minds in robotics and DeepTech!

Featuring:
Vatan Aksoy Tezer, Lead Robotics Engineer and Jakub Tomasek, Engineering Director, at KABAM Robotics

Both are redefining how AI and robotics intersect with the real world. from building startups to leading breakthrough innovations.

πŸ“… 11th Oct 2025
πŸ•’ 3:30 – 6:00 PM
πŸ“ ABS-SR1 (Gaia)

Bonus: Sign up with a friend and both of you get free Perplexity Pro & Comet subscriptions (if you attend till the end)!

🎟️ Register now: [https://tally.so/r/mO6XZK]

πŸ‘€
To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
Ready to turn sound waves into smart waves? 🎧πŸ’₯

✨MLDA@EEE Learnova Workshop 4 is now open for registration!✨

Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 4: Deep Learning in Audio Applications

Join us to:
πŸ‘Ύ Discover how AI and deep learning are revolutionizing audio technology.
πŸ” Explore cutting-edge research, key concepts, and breakthroughs shaping the future of sound.
πŸ€– Get hands-on building an agentic-AI project with Google’s HeAR model to tackle real-world challenges.

✨ This time you won't just learn: Participate in quizzes to win Grab vouchers and exclusive merch!

πŸ“…Date: 16 October 2025 (Thu)
πŸ•–Time: 7:00PM-9:10PM
πŸ“Venue: LT23 (South Spine)

πŸ‘‰Register Now: [Sign Up Now]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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Looking to boost your resume and get closer to that dream internship at top MNCs? πŸ‘©β€πŸ’»πŸ”₯

✨MLDA@EEE Learnova Workshop 4 is now open for registration!✨

Join us to explore how AI and Deep Learning are transforming the world of audio technology, and take part in fun quizzes to win Grab vouchers + exclusive merch!

πŸ“…Date: 16 October 2025 (Thu)
πŸ•–Time: 7:00PM-9:10PM
πŸ“Venue: LT23 (South Spine)

πŸ‘‰Register Now: [Sign Up Now]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
Ever wondered how machines β€œsee” the world?

πŸ“’ MLDA@EEE Learnova Workshop 5: Computer Vision

Join us for an immersive session where you’ll explore how Deep Learning in Computer Vision powers technologies like facial recognition, medical imaging, and self-driving cars!

πŸ’» Through clear explanations and live coding in PyTorch, you’ll learn how to preprocess image data and use Convolutional Neural Networks (CNNs) to extract visual features and make predictions.

✨ Plus, you’ll get to build and fine-tune your own vision model to detect pneumonia by X-ray image, and see how deep learning can make real-world impact in healthcare.

πŸ“… Date: Thursday, 23 Oct 2025
πŸ•– Time: 7:00 PM – 9:00 PM
πŸ’» Venue: Zoom (Online)

Sign Up Now: [Register Here]

πŸ‘€ To keep up with club activities and future opportunities, make sure to follow [mlda_at_eee_ntu] on Instagram, and join our [broadcast channel] on telegram.
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πŸ“’ MLDA Γ— Espressif Systems: Industry Projects (Round 2)
MLDA is happy to announce the second round of industry projects in collaboration with Espressif Systems, focusing on applications of low-power edge AI.

πŸ”Š Low-Power Voice Enhancement Project
Work on building lightweight AI models that enhance human voice in noisy environments, optimized for real-time performance on ESP32 edge devices.

🚢 Low-Power Pedestrian Detection Project
Develop efficient pedestrian detection models for smart surveillance and mobility applications, balancing accuracy, latency, and power consumption on embedded hardware.

πŸ“ Apply here: [Sign-Up Here]
πŸ“„ Project details: [Handbook]

For any queries, feel free to reach out (via telegram):
Jing Chen, Director Business Development at @jingchen2004

πŸ‘€ To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram broadcast channel.
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Have you ever used ChatGPT and gotten an answer that confidently went wrong?

AI failures aren’t just about bad outputs β€” at scale, they raise serious existential and systemic risks (x-risk), from misaligned decision-making to loss of human control.

Join us to learn how and why modern AI systems fail, and what leading researchers are doing to build more aligned systems, in a seminar featuring guest speaker Jonathan Ng (Singapore AI Safety Institute)

πŸ“… 15 Jan 2026 (Thurs) | ⏰ 7–8:30pm
πŸ• Food provided β€” limited slots available
πŸ“² Scan the QR to sign up now! (https://forms.office.com/r/xdLvv6Avkz)

p.s. attendees will be prioritised for our exclusive introductory technical reading fellowship πŸ€—

Do contact us at @timothyyong or @alicia_lam for any queries, see you there!
Curious about AI safety and how advanced AI systems can be made more reliable, aligned, and beneficial?

This reading fellowship is for people who want to explore core AI safety ideas through guided discussions with others who share the same interest β€” no heavy technical background needed.

You’ll read, think, and talk through key safety questions together in a structured, supportive setting.

πŸ“… Thursdays (week 3 onwards) | ⏰ 7–8:30pm
πŸ• Food provided β€” limited slots available
πŸ“– View our curriculum: https://ai-safety-atlas.com/chapters
πŸŽ™Join our NAIS tele channel: @nanyangais
❗️Deadline: 21 Jan 2359

Sign up here: https://forms.office.com/r/50xF4uv32M

Do contact us at @timothyyong or @alicia_lam for any queries, see you there!
Deep Learning Week 2026 (DLW’26) is back. As one of NTU’s largest AI hackathons, and among the largest student-led AI hackathons in Singapore, DLW brings together students, researchers, and industry professionals for a high-energy week of building end-to-end intelligent systems.

Expect hands-on workshops, technical talks, mentorship tracks, and networking opportunities, plus an overnight hackathon where teams stay up, hang out, and hack together πŸŒ™

πŸ—“ In-person event days: 1st Mar, 8th Mar
πŸ§‘πŸ»β€πŸ’» Remote development and workshops: 28th Feb, 2nd Mar - 7th Mar
πŸ“ Venue: LKC Lecture Theatre, South Spine @ NTU
πŸ’» Website: www.dlweek.com

🀝 Backed by industry
Supported by industry partners actively involved in research, technology, and innovation.

Highly recommended for students interested in AI, machine learning, and data science, whether you’re here to build, compete, or stay up all night building with friends.

Register now: dlweek.com/signup
πŸ” Passionate about cybersecurity but facing financial barriers?
The YouthxSkills (Cybersecurity) Scholarship 2026 is here to support you πŸš€

This programme helps underprivileged undergraduates access world-class cybersecurity training and certifications without the hefty price tag πŸ’»πŸ’‘

Industry-recognised SANS courses can cost up to S$13,000, but this scholarship removes that barrier and opens doors to real industry opportunities.

‼️ What you’ll get
πŸ”Ή SANS training & GIAC certification for just S$100
πŸ”Ή Full fee waiver for eligible HECB students
πŸ”Ή Minimum 10-week paid internship with partner organisations
πŸ”Ή Interview opportunities and potential full-time conversion

⁉️ Who can apply
βœ”οΈ Penultimate or final-year undergraduates
βœ”οΈ Eligible for HEB / HECB
πŸ—“οΈ Application Deadline: 10 February 2026
πŸ“© Enquiries: cyber_youthxskills@youthtech.sg


🌐 Applicant Handbook: https://docs.google.com/document/d/1wMC3gO6DAQdNFRn_rPIypZXQtT27V2oWO0XP4lCkf00/view

☎️Telegram: t.me/exploitbadblue