49th Intl. Nathiagali Summer College

Activity II: Artificial Intelligence and Machine Learning
(29th June - 2nd July, 2024)

  1. Reimagining Mobility with AI (Autonomous Vehicles): Explore the sensor suite powering autonomous vehicles: LiDAR, radar, cameras, and more, working in orchestrated harmony.
    Decipher the algorithms that navigate self-driving cars and guide drone swarms like coordinated teams.
    Engage in thoughtful discussions about the ethical landscape of autonomous travel, paving the way for a responsible future.

  2. Unleashing AI's Creative Potential (Generative AI and Natural Language Processing): Master the art of GANs (Generative Adversarial Networks) to create mind-bending images, music, and text. Unlock the secrets of NLP (Natural Language Processing) and empower machines to understand your words, paving the way for smarter interactions and personalized experiences.

  3. Seeing the World through AI's Lens (Computer Vision): Peer into the elaborate vision of CNNs (Convolutional Neural Networks) and witness how they analyze images with remarkable accuracy.
    Discover the rising star of Vision Transformers, revolutionizing image understanding with their attentive approach. Explore AI's transformative impact across sectors – from self-driving cars and life-saving medical imaging to facial recognition technology, with its potential benefits and challenges.

  4. Building the AI-Powered Future (Meta Verse and Drone Swarms) Step into the captivating Metaverse, a virtual world where AI crafts immersive experiences and redefines human-machine interaction.
    Harness the power of Deep Reinforcement Learning (DRL), where AI agents learn by trial and error, mastering complex tasks from game playing to robot control.

  5. Redefining the Future of manufacturing (Industry 5.0): Explore the world where humans, smart machine and robots work in unison to boost productivity, minimize resource wastage and perk up safety while being environment friendly.
    Start believing in human-machine collaboration that can help create more fulfilling and rewarding jobs for workers, instead of leaving them jobless.

  6. Beyond the Edge (EDGE/TinyML): Observe the hardware trends where real estate shrinks to limit power consumption, while novel algorithms manipulate data on site, to reduce traffic on an already superfast and secure communication backbone, for optimal artificial intelligence.

  7. Ethical Crossroads in Artificial Intelligence: Engage in critical discussions about safety and ethical considerations surrounding these powerful AI systems, shaping a responsible future for our technological advancements.


Technical Program:

For technical program of the Quantum Technologies, click here

Faculty:

Name
Lectures
Linlin Shen
Professor
School of Computer Science, Shenzhen University, China
Lecture 1: Connecting Image and Language for Computer Vision
Lecture 2: Know more about you from your faces
Lecture 3: Deep learning based medical image analysis: from multi-modality fusion to large model
Antonio Sanfilippo
Qatar Environment and Energy Research Institute (QEERI)/ Hammad bin Khalifa University, Qatar
Lecture 1: Artificial Intelligence and Digitalization in Energy ManagementArtificial Intelligence and Digitalization in Energy Management
Lecture 2: Solar Forecasting
Lecture 3: The impact of Regulatory Frameworks in Peer-to-Peer Energy Trading
Lecture 4: Resource Management for Indoor Farming in Arid and Semi-Arid Regions
Chang-Won Ahn
Director of Smart City & Digital Twin Lab, South Korea
Lecture 1: What is Data and Data Science?
Lecture 2: Three Barriers to cognize and think the Reality
Lecture 3: How can “Data Science” help the Human Brain to cognize the Reality
Lecture 4: Digital Twin can help the society to make a better decision?
Muhammad Shafique
Professor
Electrical and Computer Engineering New York University, Abu Dhabi, UAE
Lecture 1: Introduction: Challenges, Trends, and Applications
Lecture 2: Embodied AI for Autonomous Systems and Healthcare
Lecture 3: Embodied Neuromorphic Systems
Lecture 4: Security of Machine Learning Systems
Lecture 5: Advanced Trends: Multimodal Large Language Models, Quantum Machine Learning
Naeem Ramzan
Professor
School of Computing, Engineering and Physical Sciences, University of West of Scotland, Scotland, UK
Lecture 1: From Emotion Recognition to Biometric Identification through Physiological Signals
Lecture 2: AI/machine learning application in medical imaging
Lecture 3: Remote Monitoring of Vital Signs and Detection of Harmful Behaviour
Jingtong Hu
Professor
Department of Electrical and Computer Engineering, University of Pittsburgh, USA
Lecture 1: Towards Independent On-Device AI: Inference without Battery and Learning without Labels
Lecture 2: Inclusive Mobile AI Through Fairness-Aware Design, Compression, and Personalization
Lecture 3: Hardware/Software Co-Exploration of Neural Architectures
Huseyin Arslan
Professor and Dean
School of Engineering and Natural Sciences Istanbul Medipol University, Turkie
Lecture 1: Integration of radio sensing and intelligence with wireless communication 6G = INTELLIGENCE + COMMUNICATION + SENSING
  • 49th International Nathiagali Summer College, 2024. Details
  • 49th INSC, 2024. Registration Form Details