This media is not supported in your browser
VIEW IN TELEGRAM
Some roles build your portfolio. This one builds your power moves.
π¨ MLDA@EEE Sub-Committee Recruitment is LIVE! π¨
MLDA@EEE (Machine Learning & Data Analytics Labs) isnβt just your average academic club. Weβre where tech meets creativity, ambition meets execution, and freshmen become legends.
π οΈ Our Portfolios:
Projects | Academics | Business Development | Marketing | Operations | Community
π± First Year Chaos? Join our Freshmen Guidance Group, all questions, vibes, and confusion welcome. Youβre not alone.
π₯ For more information, check this out: Handbook
π Sign Up Here: Apply Now
π To keep up with club activities and future opportunities,
make sure to
Follow us on Instagram: mlda_at_eee_ntu
Join our broadcast channel: broadcast channel
Join our community channel: community channel
No Experience? No Problem! this is where we all started.
Its your turn now, so are you ready to take a leap of faith?
π¨ MLDA@EEE Sub-Committee Recruitment is LIVE! π¨
MLDA@EEE (Machine Learning & Data Analytics Labs) isnβt just your average academic club. Weβre where tech meets creativity, ambition meets execution, and freshmen become legends.
π οΈ Our Portfolios:
Projects | Academics | Business Development | Marketing | Operations | Community
π± First Year Chaos? Join our Freshmen Guidance Group, all questions, vibes, and confusion welcome. Youβre not alone.
π₯ For more information, check this out: Handbook
π Sign Up Here: Apply Now
π To keep up with club activities and future opportunities,
make sure to
Follow us on Instagram: mlda_at_eee_ntu
Join our broadcast channel: broadcast channel
Join our community channel: community channel
No Experience? No Problem! this is where we all started.
Its your turn now, so are you ready to take a leap of faith?
π£ Subcommittee Recruitment: Deep Learning Week 2026
DLW brings together some of the most passionate and curious minds across NTU to build one of the universityβs most exciting student-run events. For 2026, weβre assembling a dedicated subcommittee, and we need you!
π§ Open Roles (All WSS-Paid):
β’ Academics β Problem setting, mentoring & workshop prep
β’ Operations β Logistics, manpower & event execution
β’ Design & Innovation β Graphics, reels, social media & branding
β’ Corporate Relations (Sponsorships & Affiliations) β Industry partner management
π 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
β³ Applications close 22 August 2025, 23:59
π Apply now: tinyurl.com/dlw2026subcom
πΌ More info on roles: tinyurl.com/dlw2026portfolios
For questions about roles or the application process, feel free to reach out on Telegram:
π© Saba (@sabb_exe)
π© Thanmaya (@thanmayabp_615)
π© Shrujan (@vvryx)
DLW brings together some of the most passionate and curious minds across NTU to build one of the universityβs most exciting student-run events. For 2026, weβre assembling a dedicated subcommittee, and we need you!
π§ Open Roles (All WSS-Paid):
β’ Academics β Problem setting, mentoring & workshop prep
β’ Operations β Logistics, manpower & event execution
β’ Design & Innovation β Graphics, reels, social media & branding
β’ Corporate Relations (Sponsorships & Affiliations) β Industry partner management
π 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
β³ Applications close 22 August 2025, 23:59
π Apply now: tinyurl.com/dlw2026subcom
πΌ More info on roles: tinyurl.com/dlw2026portfolios
For questions about roles or the application process, feel free to reach out on Telegram:
π© Saba (@sabb_exe)
π© Thanmaya (@thanmayabp_615)
π© Shrujan (@vvryx)
π Ready to launch your journey in AI?
Learnova is MLDA@EEEβs 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, 7β9 PM
π 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!
β¨ Low commitment, high impact, your launchpad into AI!
π Join Learnova today: [Sign up form]
π For More Information: [Handbook]
π 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.
Learnova is MLDA@EEEβs 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, 7β9 PM
π 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!
β¨ Low commitment, high impact, your launchpad into AI!
π Join Learnova today: [Sign up form]
π For More Information: [Handbook]
π 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.
β€4
π£ Introducing the MLDA@EEE Podcast Series
Episode 1: The Robot Playbook.
π₯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).
π What Weβll 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 βstart this weekβ steps for students + live Q&A
π Sat, 30th Aug 2025 | 4β6 PM
π On campus (Details in Form)
π Register Now, Limited Seats Left!: [Sign Up Form]
π 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.
Episode 1: The Robot Playbook.
π₯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).
π What Weβll 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 βstart this weekβ steps for students + live Q&A
π Sat, 30th Aug 2025 | 4β6 PM
π On campus (Details in Form)
π Register Now, Limited Seats Left!: [Sign Up Form]
π 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.
β€1π1π₯°1
Wanna build cool projects? We got your back.
MLDA@EEE Pronova 2025β26 Recruitment is OPEN!
MLDAβs flagship project track is back, where small teams take on cutting-edge, portfolio-worthy projects under mentorship. This year, weβre levelling up with industry collaborations. π₯
β‘οΈ 2025β26 Projects:
MLDA@Robo - Advancing autonomous ground navigation
Finance AI β Algo Trading (with NFC Quant)
Hardware for AI β FPGA accelerators (AMD Competition)
Quantum AI β K-Means + QAOA for finance
NVIDIA Industry Projects β exclusive collab!
(More information in Handbook and Dashboard)
β¨ Why join?
β Hands-on experience across robotics, finance, hardware & quantum.
β Build projects that make your resume stand out.
β Collaborate with peers + gain industry exposure.
Deadline: 8 Sept 2025, Monday
Handbook: [NVIDIA Handbook]
Apply here: [Sign Up Now]
Dashboard: [link]
π 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.
MLDA@EEE Pronova 2025β26 Recruitment is OPEN!
MLDAβs flagship project track is back, where small teams take on cutting-edge, portfolio-worthy projects under mentorship. This year, weβre levelling up with industry collaborations. π₯
β‘οΈ 2025β26 Projects:
MLDA@Robo - Advancing autonomous ground navigation
Finance AI β Algo Trading (with NFC Quant)
Hardware for AI β FPGA accelerators (AMD Competition)
Quantum AI β K-Means + QAOA for finance
NVIDIA Industry Projects β exclusive collab!
(More information in Handbook and Dashboard)
β¨ Why join?
β Hands-on experience across robotics, finance, hardware & quantum.
β Build projects that make your resume stand out.
β Collaborate with peers + gain industry exposure.
Deadline: 8 Sept 2025, Monday
Handbook: [NVIDIA Handbook]
Apply here: [Sign Up Now]
Dashboard: [link]
π 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.
β€1π₯°1
NO experience? NO problem!π©βπ»
Learn AI from scratch with MLDA@EEE Learnova Workshop 1 βοΈ
Dive into the fascinating world of Artificial Intelligence in Workshop 1: Machine Learning Fundamental Knowledge, being hosted in collaboration with TAISP!
π 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 youβre completely new to AI or looking to deepen your understandingπ₯
Date: 4 September 2025, Thursday
Time: 7:00 PM (light refreshment and networking session) to 9:10 PM
Venue: Lecture Theatre 17 (North Spine)
πApply Now: https://forms.gle/SAUupwCwBcYCkYJw9
π 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.
Learn AI from scratch with MLDA@EEE Learnova Workshop 1 βοΈ
Dive into the fascinating world of Artificial Intelligence in Workshop 1: Machine Learning Fundamental Knowledge, being hosted in collaboration with TAISP!
π 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 youβre completely new to AI or looking to deepen your understandingπ₯
Date: 4 September 2025, Thursday
Time: 7:00 PM (light refreshment and networking session) to 9:10 PM
Venue: Lecture Theatre 17 (North Spine)
πApply Now: https://forms.gle/SAUupwCwBcYCkYJw9
π 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
β‘ Work with NVIDIA. Only at MLDA@EEE Pronova. β‘
Pronova 2025β26 is here: and this year weβre bringing exclusive industry projects in collaboration with NVIDIA. π₯
That means you wonβt just learn AIβ¦ youβll build alongside one of the biggest names in the game.
β¨ What youβll get:
β Hands-on NVIDIA-backed projects
β Industry exposure that stands out
β Mentorship + a team that delivers
π Handbook: [NVIDIA Handbook]
π Apply now: [Sign Up Form]
Spots are limited. π Donβt miss your chance to co-create with NVIDIA
π 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.
Pronova 2025β26 is here: and this year weβre bringing exclusive industry projects in collaboration with NVIDIA. π₯
That means you wonβt just learn AIβ¦ youβll build alongside one of the biggest names in the game.
β¨ What youβll get:
β Hands-on NVIDIA-backed projects
β Industry exposure that stands out
β Mentorship + a team that delivers
π Handbook: [NVIDIA Handbook]
π Apply now: [Sign Up Form]
Spots are limited. π Donβt miss your chance to co-create with NVIDIA
π 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.
β€2π1
π 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.
π§ What to Expect:
β EDA Fundamentals
β Visualize trends with Python tools
β Real-world finance + healthcare datasets
β K-Means, Decision Trees, and ML basics π₯
π 11 Sept 2025 (Thu)
π 7:40 PM β 9:10 PM
π Venue: LT-17, North Spine
π Open to all NTU students,
Limited Slots, Allotted on First Come-First Served Basis.
π Sign up now! Scan the QR or click here π [https://forms.gle/mpCVVT3cMj1pyGsQA]
π 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.
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.
π§ What to Expect:
β EDA Fundamentals
β Visualize trends with Python tools
β Real-world finance + healthcare datasets
β K-Means, Decision Trees, and ML basics π₯
π 11 Sept 2025 (Thu)
π 7:40 PM β 9:10 PM
π Venue: LT-17, North Spine
π Open to all NTU students,
Limited Slots, Allotted on First Come-First Served Basis.
π Sign up now! Scan the QR or click here π [https://forms.gle/mpCVVT3cMj1pyGsQA]
π 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.
π¨ DATATHON: Lifeline 2025 π¨
Weβre excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.
This yearβs theme challenges you to explore how AI can transform and support healthcare. Whether youβre new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.
π‘ 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.
π Key Dates
Registration Period: 15β21 Sep
Build Sprint (Round 1): 29 Sep β 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM β 9:00 PM
β‘οΈ Spots are limited, register at https://tinyurl.com/datathonlifeline2025!
π PS: Even if you donβt have teammates right now, we can help you find them post-registration.
Weβre excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.
This yearβs theme challenges you to explore how AI can transform and support healthcare. Whether youβre new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.
π‘ 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.
π Key Dates
Registration Period: 15β21 Sep
Build Sprint (Round 1): 29 Sep β 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM β 9:00 PM
β‘οΈ Spots are limited, register at https://tinyurl.com/datathonlifeline2025!
π PS: Even if you donβt have teammates right now, we can help you find them post-registration.
β€7
Deep Learning models are getting smarter... are you? π€π
β¨Learnova Workshop 3 is now open for registration!β¨
Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 3: Deep Learning Fundamentals
Step into the world of:
πΎDeep Learning Fundamentals: Master the fundamentals behind how machines learnβno prior experience needed!
πΎPractical Python Coding: Start your deep learning journey by coding real models in Python
πΎReal-World AI Applications: see how AI powers real-world tech.
π Date: 18 September 2025 (Thu)
πTime: 7:40PM-9:10PM
πVenue: LT17 (North Spine)
You donβt need a PhD to build AI. Just curiosity and code. π©βπ»π₯
Join us and take your first step into the future of tech!
πApply Now: https://forms.gle/uSycuZxM8ALjTadD9
π© Follow us to stay updated on weekly workshop topics!
Follow us on Instagram
Join our broadcast channel on tele
Join our community channel
β¨Learnova Workshop 3 is now open for registration!β¨
Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 3: Deep Learning Fundamentals
Step into the world of:
πΎDeep Learning Fundamentals: Master the fundamentals behind how machines learnβno prior experience needed!
πΎPractical Python Coding: Start your deep learning journey by coding real models in Python
πΎReal-World AI Applications: see how AI powers real-world tech.
π Date: 18 September 2025 (Thu)
πTime: 7:40PM-9:10PM
πVenue: LT17 (North Spine)
You donβt need a PhD to build AI. Just curiosity and code. π©βπ»π₯
Join us and take your first step into the future of tech!
πApply Now: https://forms.gle/uSycuZxM8ALjTadD9
π© Follow us to stay updated on weekly workshop topics!
Follow us on Instagram
Join our broadcast channel on tele
Join our community channel
β€1
π¨ LAST DAY TO REGISTER! π¨
Weβre excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.
This yearβs theme challenges you to explore how AI can transform and support healthcare. Whether youβre new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.
π‘ 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.
π Key Dates
Registration Period: 15β21 Sep
Build Sprint (Round 1): 29 Sep β 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM β 9:00 PM
Spots are limited, register at https://tinyurl.com/datathonlifeline2025 by Sunday, 21 September, 23:59 PM.
π PS: Even if you donβt have teammates right now, we can help you find them post-registration.
Weβre excited to announce Datathon: Lifeline 2025, a beginner-friendly AI & Machine Learning hackathon under MLDA @ EEE.
This yearβs theme challenges you to explore how AI can transform and support healthcare. Whether youβre new to ML or already tinkering with AI, this is your chance to innovate, collaborate, and make an impact.
π‘ 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.
π Key Dates
Registration Period: 15β21 Sep
Build Sprint (Round 1): 29 Sep β 5 Oct
Demo Day (Round 2): 10 Oct, 4:30 PM β 9:00 PM
Spots are limited, register at https://tinyurl.com/datathonlifeline2025 by Sunday, 21 September, 23:59 PM.
π PS: Even if you donβt have teammates right now, we can help you find them post-registration.
π₯2β€1
π£ MLDA is back with another exciting episode of our Podcast Series! Episode 2: The Innovation Circuit
π₯ Featuring: Vatan Aksoy Tezer - Lead Robotics Engineer & Jakub Tomasek - Engineering Director at KABAM Robotics
π€ What Weβll get into:
- How to build a career and break into robotics β from learning pathways to real-world projects
- Inside Singaporeβs robotics ecosystem: opportunities, challenges, and whatβs 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 π§
π Sat, 11th Oct 2025 | 3.30 PMβ6:00 PM
π Gaia Innovation Port
π Register Now, Limited Seats!: [https://tally.so/r/mO6XZK]
π 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.
π₯ Featuring: Vatan Aksoy Tezer - Lead Robotics Engineer & Jakub Tomasek - Engineering Director at KABAM Robotics
π€ What Weβll get into:
- How to build a career and break into robotics β from learning pathways to real-world projects
- Inside Singaporeβs robotics ecosystem: opportunities, challenges, and whatβs 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 π§
π Sat, 11th Oct 2025 | 3.30 PMβ6:00 PM
π Gaia Innovation Port
π Register Now, Limited Seats!: [https://tally.so/r/mO6XZK]
π 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.
β€3
π 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 Singaporeβs 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.
π 11th Oct 2025
π 3:30 β 6:00 PM
π 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)!
ποΈ Register now: [https://tally.so/r/mO6XZK]
π 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.
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 Singaporeβs 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.
π 11th Oct 2025
π 3:30 β 6:00 PM
π 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)!
ποΈ Register now: [https://tally.so/r/mO6XZK]
π 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? π§π₯
β¨MLDA@EEE Learnova Workshop 4 is now open for registration!β¨
Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 4: Deep Learning in Audio Applications
Join us to:
πΎ Discover how AI and deep learning are revolutionizing audio technology.
π Explore cutting-edge research, key concepts, and breakthroughs shaping the future of sound.
π€ Get hands-on building an agentic-AI project with Googleβs HeAR model to tackle real-world challenges.
β¨ This time you won't just learn: Participate in quizzes to win Grab vouchers and exclusive merch!
π Date: 16 October 2025 (Thu)
πTime: 7:00PM-9:10PM
πVenue: LT23 (South Spine)
πRegister Now: [Sign Up Now]
π 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.
β¨MLDA@EEE Learnova Workshop 4 is now open for registration!β¨
Dive into the fascinating world of Artificial Intelligence (AI) in Workshop 4: Deep Learning in Audio Applications
Join us to:
πΎ Discover how AI and deep learning are revolutionizing audio technology.
π Explore cutting-edge research, key concepts, and breakthroughs shaping the future of sound.
π€ Get hands-on building an agentic-AI project with Googleβs HeAR model to tackle real-world challenges.
β¨ This time you won't just learn: Participate in quizzes to win Grab vouchers and exclusive merch!
π Date: 16 October 2025 (Thu)
πTime: 7:00PM-9:10PM
πVenue: LT23 (South Spine)
πRegister Now: [Sign Up Now]
π 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.
β€1
Looking to boost your resume and get closer to that dream internship at top MNCs? π©βπ»π₯
β¨MLDA@EEE Learnova Workshop 4 is now open for registration!β¨
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!
π Date: 16 October 2025 (Thu)
πTime: 7:00PM-9:10PM
πVenue: LT23 (South Spine)
πRegister Now: [Sign Up Now]
π 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.
β¨MLDA@EEE Learnova Workshop 4 is now open for registration!β¨
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!
π Date: 16 October 2025 (Thu)
πTime: 7:00PM-9:10PM
πVenue: LT23 (South Spine)
πRegister Now: [Sign Up Now]
π 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 βseeβ the world?
π’ MLDA@EEE Learnova Workshop 5: Computer Vision
Join us for an immersive session where youβll explore how Deep Learning in Computer Vision powers technologies like facial recognition, medical imaging, and self-driving cars!
π» Through clear explanations and live coding in PyTorch, youβll learn how to preprocess image data and use Convolutional Neural Networks (CNNs) to extract visual features and make predictions.
β¨ Plus, youβll 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.
π Date: Thursday, 23 Oct 2025
π Time: 7:00 PM β 9:00 PM
π» Venue: Zoom (Online)
Sign Up Now: [Register Here]
π 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.
π’ MLDA@EEE Learnova Workshop 5: Computer Vision
Join us for an immersive session where youβll explore how Deep Learning in Computer Vision powers technologies like facial recognition, medical imaging, and self-driving cars!
π» Through clear explanations and live coding in PyTorch, youβll learn how to preprocess image data and use Convolutional Neural Networks (CNNs) to extract visual features and make predictions.
β¨ Plus, youβll 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.
π Date: Thursday, 23 Oct 2025
π Time: 7:00 PM β 9:00 PM
π» Venue: Zoom (Online)
Sign Up Now: [Register Here]
π 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.
β€1
π’ 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.
π 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.
πΆ 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.
π Apply here: [Sign-Up Here]
π Project details: [Handbook]
For any queries, feel free to reach out (via telegram):
Jing Chen, Director Business Development at @jingchen2004
π To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram broadcast channel.
MLDA is happy to announce the second round of industry projects in collaboration with Espressif Systems, focusing on applications of low-power edge AI.
π 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.
πΆ 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.
π Apply here: [Sign-Up Here]
π Project details: [Handbook]
For any queries, feel free to reach out (via telegram):
Jing Chen, Director Business Development at @jingchen2004
π To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram broadcast channel.
β€5
Have you ever used ChatGPT and gotten an answer that confidently went wrong?
AI failures arenβt 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)
π 15 Jan 2026 (Thurs) | β° 7β8:30pm
π Food provided β limited slots available
π² 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 π€
Do contact us at @timothyyong or @alicia_lam for any queries, see you there!
AI failures arenβt 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)
π 15 Jan 2026 (Thurs) | β° 7β8:30pm
π Food provided β limited slots available
π² 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 π€
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.
Youβll read, think, and talk through key safety questions together in a structured, supportive setting.
π Thursdays (week 3 onwards) | β° 7β8:30pm
π Food provided β limited slots available
π View our curriculum: https://ai-safety-atlas.com/chapters
πJoin our NAIS tele channel: @nanyangais
βοΈDeadline: 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!
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.
Youβll read, think, and talk through key safety questions together in a structured, supportive setting.
π Thursdays (week 3 onwards) | β° 7β8:30pm
π Food provided β limited slots available
π View our curriculum: https://ai-safety-atlas.com/chapters
πJoin our NAIS tele channel: @nanyangais
βοΈDeadline: 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 (DLWβ26) is back. As one of NTUβs 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 π
π In-person event days: 1st Mar, 8th Mar
π§π»βπ» Remote development and workshops: 28th Feb, 2nd Mar - 7th Mar
π Venue: LKC Lecture Theatre, South Spine @ NTU
π» Website: www.dlweek.com
π€ 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 youβre here to build, compete, or stay up all night building with friends.
Register now: dlweek.com/signup
Expect hands-on workshops, technical talks, mentorship tracks, and networking opportunities, plus an overnight hackathon where teams stay up, hang out, and hack together π
π In-person event days: 1st Mar, 8th Mar
π§π»βπ» Remote development and workshops: 28th Feb, 2nd Mar - 7th Mar
π Venue: LKC Lecture Theatre, South Spine @ NTU
π» Website: www.dlweek.com
π€ 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 youβre here to build, compete, or stay up all night building with friends.
Register now: dlweek.com/signup