UZH Department of Informatics’ Post

It was my pleasure to present today at the 10th International Conference on Artificial Intelligence and Soft Computing (AIS 2024). The presentation and paper can be found in the comments. #planetarychess

Understanding compute is the tool of the years to come, in this era of AI, Simulation & Digital Twins!!

Happy #ExascaleDay! 🖥️ Today, we spotlight the power of exascale computing, where systems can perform one quintillion calculations per second (10^18). These supercomputers are revolutionizing fields like medicine, climate science, and AI. 🚀 A special shoutout to ACM SIGHPC (Special Interest Group on High Performance Computing) for leading the charge in fostering the growth of high-performance computing. Through initiatives like the SC Conference, diverse fellowships, and educational outreach, SIGHPC is shaping the future of HPC and enabling groundbreaking innovations. Let’s celebrate the engineers, researchers, and pioneers pushing the boundaries of what’s possible!⚡ https://bit.ly/4eaL1Nm #Supercomputing #HPC

We have our next Future Intelligence Talk tomorrow at 18:00 Beijing Time. This time, we have two PhD students: Ke Xue (Nanjing University) and Golnoosh Shahkarami (Max Planck Institute for Informatics) to share their research in algorithmic computer science and the talks will facility with a short discussion and Q&A. Please feel free to join in the online talk and unmute yourself for the discussion!!! #FI talks, #theoretical computer science.

I am pleased to announce that our paper “FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy”has been accepted by IEEE Transactions on Mobile Computing. Kudos to my PhD student Ziru Niu! Within this paper, we proposed FLrce, an efficient federated learning framework for accelerating the training process and reducing resource consumption by selecting significant clients (edge devices) and employing an early stopping mechanism. FLrce improves computation and communication efficiency by over 40% compared to state-of-the-art federated learning frameworks. Interested readers may access the preprint version at https://lnkd.in/g4mHps_r. #EdgeAI #EdgeIntelligence #FederatedLearning

QCi Lesson of the Week: Combinatorial Optimization Problems! Dive into this week’s lesson from QCi’s learning module on the analog quantum advantage and explore the challenging problems which QCi’s entropy quantum computing devices aim to solve – known as combinatorial optimization problems. In this lesson, QCi takes an in-depth look at this class of optimization problems, which are difficult because they have many potential solutions but no practical way to find the best one efficiently, leading to a combinatorial explosion of possible solutions. The traveling salesperson problem exemplifies this difficulty, as the number of possible routes grows factorially with the number of cities, making it infeasible to solve by enumeration for large instances. While exact solutions are impractical for large problems, approximate algorithms and quantum computing devices offer promising alternatives by finding good enough solutions in a reasonable time. Interested in learning more? Read the full lesson here: https://lnkd.in/eGhk7pSx #QCiLesson #QCi #lessonoftheweek #combinatorialoptimization #combinatorial #optimization #optimizationproblems #combinatorialhardness #hardproblems #approxminateoptimization #quantum #quantumadvantage #travelingsalesman #EQC #entropycomputing #quantumcomputing #quantumsystems #quantummechanics #quantumlessons #learnquantum #quantumphysics

I am excited to share that our paper titled "Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach" has recently been accepted in one of the prestigious journals in the field of wireless communications and computing, i.e., IEEE Transactions on Mobile Computing (Impact Factor = 7.9). I would like to thank my co-authors Ahmed Al-habob, PhD and Hina Tabassum for their efforts and valuable contributions. The early access version is available at https://lnkd.in/e9dTAHxP #6g #reinforcementlearning #artificialintelligence #optimization #deeplearning #wirelesscommunications #computing

🚀 Quantum Leap Unlocked...! 🚀 I am beyond excited to share that I’ve just received a Record of Achievement from openHPI, Hasso Plattner Institute (HPI) in collaboration with the University of Potsdam for completing the Introduction to Quantum Computing with Qiskit course! 🎉💻🔬 Taught by the brilliant minds Dr. Elisa Bäumer, PhD and Carmen Recio Valcarce from IBM Quantum Research, this course was a deep dive into the future of computing, and I couldn’t be more thrilled to have scored 82.4%! 🔑 Key Takeaways: 👉 Mastered the basics of Qiskit and IBM Quantum Services 👉 Ran my very first quantum circuits! ⚛️ 👉 Implemented cutting-edge algorithms like the Deutsch-Jozsa and Grover’s algorithms 👉 Learned how to apply measurement error mitigation techniques for more accurate quantum computing results 👉 Quantum computing is revolutionizing how we solve problems, and I’m excited to be at the forefront of this innovation! 🌍💡 Big thanks to the teaching team and everyone who supported me along this journey at Vishnu Institute of Technology (Autonomous) , Sri Vishnu Educational Society. I can't wait to explore even more advanced topics in quantum computing and contribute to the future of technology. Let’s keep pushing the boundaries! 🚀✨ #QuantumComputing #Qiskit #DigitalEngineering #OpenHPI #IBMQuantum #QuantumFuture #TechInnovation #LifelongLearning #HPI #AchievementUnlocked #QuantumAlgorithms #DeutschJozsaAlgorithm #GroversAlgorithm #QuantumCircuits #MeasurementErrorMitigation #FutureOfTech #QuantumLeadership #InnovationInTech #STEM #PioneeringTech #QuantumResearch #learnings