Vahid Tavakkoli

Hey there 👋 For Iranian software engineers passionate about learning #LLM, #NLP, #AI basics and other related topics, the following links will be extremely helpful: 🔗 https://lnkd.in/dcJse64Q 🔗 https://lnkd.in/dWdX5CvH Special thanks to Amir 'Jadi' Mirmirani and Amir Abdi (principal applied scientist @ Microsoft) #LLM #GPT #AI #NLP #chatGPT

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https://lnkd.in/g9xx7Ztd Unification of all fundamental forces using Alena Tensor In this work we established new framework to include gravity into QFT by doing it in flat curvature but introducing interaction with gravity using Alena tensor instead which will be proved to be equivalent to contracted christofel symbol as we have proposed before. The Unified Theory That All Seek The universe hides its forces in its threads, Gravity, immense, its path widespread. Electromagnetic fields entwined, Nuclear siblings with power combined. Scientists dream deep in their hearts, To unite all forces, their paths chart. Alena Tensor, a bridge to start, A journey to unify every part. In smooth and curved simplicity, The Christoffel symbols hold the key. Each sign guides the light to see, A theory for the universe, in harmony. All four forces join as one, Bound together, under the sun. In this theory so brightly spun, The truth will shine when the work is done! Die Vereinheitlichte Theorie, die alle suchen Das Universum verbirgt seine Kräfte im Band, Die Schwerkraft ist groß und mächtig bekannt. Elektromagnetische Felder verwoben klar, Kernkräfte vereint, so wunderbar. Die Wissenschaft träumt tief und rein, Alle Kräfte zu einen, das Ziel muss sein. Alena Tensor, der Brücke Schein, Ein Pfad zur Einheit, so licht und fein. In glatter und gebogener Symmetrie, Zeigen Christoffel-Symbole die Melodie. Jedes Zeichen führt das Licht zur Theorie, Ein Universum in perfekter Harmonie. Alle vier Kräfte in einem vereint, Zusammengeführt, wie der Himmel scheint. In dieser Theorie, die so hell erscheint, Wird die Wahrheit leuchten, wenn das Werk gemeint!

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Join us for an enlightening workshop titled "New Approaches in Robotic Grasping: From Deep Learning, Reinforcement Learning to Graph Neural Network" at the upcoming ICCKE 2024 conference. In this workshop, we present the culmination of six years of intensive research conducted at the Human and Robot Interaction Laboratory, University of Tehran, about Robotics Grasping. I will present this workshop alongside two of my Ph.D. students, Hamed Ghasemi and Hamed Hosseini Ghasemi. Together, we will unravel the complexities of robot grasping from a deep learning perspective, shedding light on cutting-edge techniques, challenges, and future prospects. Date: 19th Nov, 13:00 Online https://lnkd.in/dqcGb8KE https://lnkd.in/dzXKb-ES Abstract: The workshop titled "New Approaches in Robotic Grasping: From Deep Learning, Reinforcement Learning to Graph Neural Networks" delves into the cutting-edge advancements in robotic grasp detection, a critical component for the automation of industrial tasks. Over the past six years, the Human-Robot Interaction Laboratory has focused on developing innovative solutions for grasp detection, utilizing a combination of geometric approaches and intelligent methods. This workshop will showcase the practical applications of these approaches through the development of a 3-DOF Delta robot and an advanced gripper. Attendees will gain insights into the integration of deep learning models for accurate and adaptive grasp detection, the application of reinforcement learning to enhance the decision-making capabilities of robotic systems, and the utilization of graph theory for optimizing grasp strategies and robot movements. In the workshop, we will also discuss how Transformers are revolutionizing robotic grasping and manipulation. These models, like GPT-4V and Gemini, enable complex robotic tasks with minimal training, using just input prompts. We'll review the latest developments in this area, including models like RT-1 and RT-2. By exploring these new approaches, participants will be equipped with the knowledge and tools necessary to advance the field of robotic grasping, contributing to the evolution of more autonomous and efficient robotic systems in industrial settings. Workshop Outlines: 1. Introduction to Robotic Grasping 2. Geometric Methods and Integration with Intelligent Methods 3. Reinforcement Learning (RL) Based Methods for Data Insufficiency 4. Graph Analysis and Modeling for Compatible Problems 5. Popular Simulators Overview 6. Practical Setup and Results Presentation 7. Applications of Grasping Over the Developed Gripper and Delta Robot 8. Latest Researches in Robotic Manipulation #robot #robotics #grasp #deep_learning #RL #reinforcement_learning

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For my students ( and not only I hope) Using a Calphad software (we use Computherm Pandat) and databases you can search in Thermodynamic Database Database https://lnkd.in/dpe9PbR4 and/or NIMS Calphad database https://lnkd.in/dRiCs4Jc Plot the phase Ti-Cu, Ti-Mo, Ti-V phase diagrams calculate the parameters reported in this table from the (open ) paper (Tentatively!) draw some conclusions on the predicting abilities of elementary (Calphad) computational metallurgy calculations Table is from the open paper Underlying factors determining grain morphologies in high-strength titanium alloys processed by additive manufacturing Mohan S. K. K. Y. Nartu, Brian A. Welk, Srinivas A. Mantri, Nevin L. Taylor, Gopal B. Viswanathan, Narendra B. Dahotre, Rajarshi Banerjee & Hamish L. Fraser  Nature Communications volume  14, Article number: 3288 (2023)  https://lnkd.in/dDGZ67ef

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While transferring files from my old laptop, I found the LaTeX source of my 244-page MSc thesis, titled "Topics in Algebraic Attacks on Cryptosystems". It’s in Persian and may be useful for others, especially Persian-speaking students. Check it out here:

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🚀 Unlocking the Future of Quantum Computing: A Comprehensive Tutorial on Control Systems 🌌 In the rapidly evolving field of quantum computing, a new tutorial paper titled "Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems" by Julian Berberich, Robert L. Kosut, and Thomas Schulte-Herbrüggen has emerged as a pivotal resource. This paper aims to demystify the complexities surrounding quantum systems and control theory, making it more accessible for researchers and engineers alike. 🔍 Key Highlights: 1. Quantum Algorithms Simplified: The tutorial introduces fundamental concepts such as qubits, quantum gates, and prominent algorithms including variational quantum algorithms (VQAs), all framed within linear algebra. 2. Engineering Challenges: It addresses real-world challenges in implementing quantum devices—particularly noise robustness—by leveraging systems and control theory. 3. Bilinear Control Framework: The authors present a unified framework for understanding bilinear control systems in finite-dimensional settings crucial for developing effective quantum devices. 4. Robust Quantum Control Techniques: The paper emphasizes robust control strategies that utilize set-membership uncertainty descriptions to tackle noise in experimental setups. 5. Applications Across Domains: Potential applications span cryptography, optimization problems, machine learning simulations—showcasing the transformative power of effective quantum computing solutions. This tutorial not only serves as an introduction but also provides practical insights into overcoming barriers within this complex field! 💡 Whether you are an academic or industry professional looking to deepen your understanding or enhance your skills in this cutting-edge area of technology—this resource is invaluable! 🔗 Dive into the full details of this enlightening work that aims at bridging knowledge gaps in engineering aspects related to quantum computing! #AI #Algorithms #ArtificialIntelligence #ControlTheory #DL #DS #DataScience #DeepLearning #Engineering #ML #MachineLearning #QuantumComputing #QuantumSystems #ResearchInnovation #RobustControl #Tech #Technology Source: https://lnkd.in/e9aerubM

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Multi-reference Quantum Davidson Algorithm for #QuantumDynamics https://lnkd.in/eb8N5SBh #lib_arXiv #QuantumAlgorithms #QuantumPhysics #Physics

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066: Q𝒖𝒂𝒏𝒕𝒖𝒎 𝑴𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝑫𝒚𝒏𝒂𝒎𝒊𝒄𝒔 𝒖𝒔𝒊𝒏𝒈 𝑻𝒓𝒐𝒕𝒕𝒆𝒓𝒊𝒛𝒂𝒕𝒊𝒐𝒏. Quantum molecular dynamics is a crucial field for simulating the time evolution of molecular systems, where quantum mechanical effects cannot be ignored. Trotterization is one of the primary techniques used to break down the time-evolution operator into manageable components that can be efficiently simulated on quantum computers. This method leverages the idea that the exponential of a sum of non-commuting operators can be approximated as a sequence of exponentials of individual operators. This is the key to enabling the simulation of molecular systems on near-term quantum devices. The process of simulating quantum molecular dynamics via Trotterization begins with the molecular Hamiltonian, which encapsulates the system's energy states and interactions between particles. This Hamiltonian is expressed as a sum of terms that typically include kinetic and potential energy operators. Since these terms often do not commute, simulating the full time evolution under the exact Hamiltonian would be computationally intractable. Trotterization overcomes this by discretizing time into small steps and approximating the evolution as a product of exponentials of these terms over each time step. The accuracy of the approximation depends on the size of these steps, with smaller steps offering better accuracy at the cost of higher computational complexity. In quantum computing, this method has particular importance. By using Trotterization, we can simulate complex molecular interactions and study phenomena like chemical reactions, bonding, and material properties. For example, simulating the time-dependent Schrödinger equation in a Trotterized form allows us to capture molecular dynamics more efficiently compared to classical methods. As quantum hardware continues to improve, the precision and scalability of Trotterization methods will further unlock the potential of quantum chemistry, enabling engineers and researchers to explore molecular processes with unprecedented detail. Trotterization provides a pathway for simulating the time evolution of molecular systems on quantum computers, crucial for advancing quantum chemistry simulations and understanding complex molecular behaviors. 𝐍𝐨𝐭𝐞: For access to the code repository and other resources, please check the comments section. For deeper insights, you can explore my previous Quantum Chemistry posts starting from Post #0051, or visit my GitHub repository (linked below). Additionally, from Posts #0041 to #0050, I covered Quantum Econophysics, another fascinating area worth exploring.

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🔓 New paper online "RoboMan: An Adult-Sized #HumanoidRobot with Enhanced Performance, Inherent Stability, and Two-Stage #BalanceControl to Facilitate Research on Humanoids" in Robotics MDPI, by Vahid Mohammadi, Mojtaba Hoseini, Farhad Jafari and Ahad Behboodi 👉 Welcome to read: https://lnkd.in/ghEMSeYi MDPI #robotswalking

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I’m so happy of publishing this book 📚 for all respected Persian readers around the world who are interested in the amazing interdisciplinary field of Accelerated High Performance Computing for the Neural Networks and Artificial Intelligence applications.🪴❤️ Now many giant tech leaders like NVIDIA🥇are doing tremendous valuable works in this field and indeed they are considered as the key game player. The next step would be an original English book. Let’s go ahead and enjoy the game…🪻😊🌤️🙋🏻‍♂️ #ai #hardware #nvidia #hpc #acceleratedcomputing #highperformancecomputing #hardware #artificialintelligence #deeplearning #computerarchitecture

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🔍 Building Intelligent Paper Search with Neo4j, GraphRAG & LLMs A step-by-step tutorial on creating a smart academic paper search system! Learn how to: ➡️ Generate Cypher queries automatically with LLMs ➡️ Set up custom schemas for paper indexing ➡️ Create targeted question-answering chains ➡️ Search paper titles efficiently with Neo4j Perfect for researchers and developers looking to build intelligent document search systems! Check out the full tutorial to see it in action. https://lnkd.in/ghpSZev5 Stephen Batifol #Neo4j #GraphRAG #LLM #AI #DataEngineering #Tutorial #Milvus #Vectordb

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🔍 Building Intelligent Paper Search with Neo4j, GraphRAG & LLMs A step-by-step tutorial on creating a smart academic paper search system! Learn how to: ➡️ Generate Cypher queries automatically with LLMs ➡️ Set up custom schemas for paper indexing ➡️ Create targeted question-answering chains ➡️ Search paper titles efficiently with Neo4j Perfect for researchers and developers looking to build intelligent document search systems! Check out the full tutorial to see it in action. https://lnkd.in/ghpSZev5 Stephen Batifol #Neo4j #GraphRAG #LLM #AI #DataEngineering #Tutorial #Milvus #Vectordb

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Advances in solar forecasting: Computer vision with deep learning https://lnkd.in/dAm94s2e #solarforecasting #Computervision #deeplearning

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These days, all around we hear something about Artificial Intelligence (AI), but very few people talk and care about the related fundamental concepts like "Data" and "Accelerated High-Performance Computing". I'm very happy that we have published this book for all interested Persian readers and students around the world. This is a translation of an original book, but we also added some chapters to it. Hereby, I'd like to highly appreciate kind always support of my PhD advisor, Dr. somayyeh jj. Hope it would be useful and informative for you. 😊🌹 #ai #deeplearning #computerarchitecture #smile #book #کتاب #هوش_مصنوعی #یادگیری_عمیق #معماری_کامپیوتر

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Textbook "Introduction to HPC with MPI for Data Science" reached 300 citations according to Google Scholar. It explains how to use Slurm and MPI on your laptop (Windows/Unix/Mac) and use the physical/virtual cores of your CPU to emulate a cluster Program ML & AI using parallel computing and choose the communication topology. book web page: https://lnkd.in/f7m5YgK

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#Daily_Share Welcome to read and share the newly published paper "Algorithm for Option Number Selection in Stochastic Paired Comparison Models". This excellent paper is written by László Gyarmati, Csaba Mihálykó and Éva Orbán-Mihálykó Read via: https://lnkd.in/gSWPHtsM MDPI Pannon Egyetem - University of Pannonia #pairedcomparisons #Algorithms #optionmodel

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