Dr. Luca Dalessandro

BMBF project by Proxima Fusion and IPP starts with joint workshop   Researchers from both partners met at the IPP in Greifswald on 18 June for the kick-off workshop.   The sub-project on magnetic fusion, funded by the German Federal Ministry of Education and Research (BMBF) with around 10 million euros, is concerned with addressing fundamental questions relating to the concept of a stellarator power plant. The Max Planck Institute for Plasma Physics (IPP) is receiving almost four million euros from the BMBF for this, while the start-up company Proxima Fusion is being funded with almost six million euros.   More than 20 experts from Proxima Fusion and IPP took part in the all-day kick-off workshop on 18 June at the IPP in Greifswald. The initial aim was to gain an overview of the available tools, the simulation codes and the state of scientific knowledge and then to develop a joint project strategy.   IPP has concluded a cooperation agreement with Proxima Fusion for the conceptual work on a stellarator power plant. Further co-operation agreements exist with the European fusion company Gauss Fusion and with the American start-up Commonwealth Fusion Systems. All of these agreements include agreements on the confidentiality of work results and the handling of intellectual property.   In addition, IPP has signed two Memorandums of Understanding (MOU) that provide the framework for cooperation with the US companies Stellarex, Inc and Thea Energy. Unlike the cooperation agreements described above, no confidentiality was agreed here. Collaboration within the framework of an MOU is comparable to the academic exchange that IPP maintains with research institutions worldwide. Bundesministerium für Bildung und Forschung #nuclearfusion #fusionenergy

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✨ Research Highlight from IEEE RAS ICRA (ICRA@40) We are delighted to share that Cristina Iacono from the PRISMA Lab has presented the paper “𝗦𝗮𝗳𝗲 𝗧𝗲𝗹𝗲𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝘂𝗿𝗴𝗶𝗰𝗮𝗹 𝗥𝗼𝗯𝗼𝘁𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗕𝗮𝗿𝗿𝗶𝗲𝗿 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀” at the 40th Anniversary of the IEEE RAS ICRA Conference on Robotics and Automation (ICRA@40). The research work was carried out in collaboration with Rocco Moccia (IIT), Marco Caianiello (UniNa), and Fanny Ficuciello (UniNa). 🔎 This study focuses on improving safety in teleoperated surgical robots, crucial for performing robot-assisted surgeries. The proposed solution introduces a haptic feedback system, utilizing an optimization-based approach, with task execution guided by Control Barrier Functions (CBFs). This advancement is a key contribution to enhancing the safety and precision of robotic-assisted surgical procedures. #ICRA2024 #MedicalRobotics #SurgicalRobots #Teleoperation #Safety #PRISMALab #Research #Innovation

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In #episode4 of COgITOR Project #podcast, Marco Crepaldi proposes an innovative path towards establishing a digital twin of the #colloid electrodynamics based on an artificial neural network. The consequences of such visionary idea is that artificial intelligence could be trained with the raw experimental measurements collected in the last years to create a comprehensive model, that later could be made free to access, making available to the broader community a precious resource.  Enjoy his talk 🎧 https://lnkd.in/dBkbH4ZC #liquidrobotics #FETopen #innovation #research #events #scicomm #computing #IA #organicelectronics #unconventionalcomputing #neuromorphicsystems #selfhealing #energyharvesting #thermoelectric #colloids #computingarchitectures #AI #HPC European Innovation Council and SMEs Executive Agency (EISMEA) COgITOR Project Alessandro Chiolerio Chiara Zocchi Andy Adamatzky Carsten Jost Valentina Cinti Istituto Italiano di Tecnologia University of the West of England Empa PlasmaChem GmbH CiaoTech - Gruppo PNO INNOVATION PLACE Matteo Bevione

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#OneDayOneIndustry 💎 Computational Power Demand and Market Trends In recent years, with the emergence of large models (e.g., GPT-3, GPT-4), the demand for arithmetic power in the AI field has grown exponentially. According to a study by Tsinghua University, the computing power required for AI training is expected to reach 10 times the current level by 2025. This trend is driving the rapid expansion of the global AI chip market.IDC International Data Corporation states that the global AI chip market has reached $35 billion in 2023 and is expected to exceed $50 billion by 2026, at a CAGR of more than 15%. 🌏 Among them, the North American market still occupies the largest share, while the Asia-Pacific region, especially China and India, shows the fastest growth rate. 💎 Chip Innovation and Distributed Computing To meet the growing demand for computing power, chip innovation has become key. 🔥 The development of specialised chips (e.g. TPUs, NPUs) offers new ways to improve arithmetic efficiency, and these chips offer significant advantages in terms of performance and energy consumption. 🔍Distributed computing is also an important way to deal with arithmetic bottlenecks, and by using cloud computing resources for distributed training and reasoning, the pressure on single-point hardware devices can be effectively reduced. 💎 Edge AI and Technology Trends The rise of edge AI has further broadened the scope of application of arithmetic power. 🔥 Gartner's report points out that edge AI is increasingly widely used in IoT devices, smart cities, autonomous driving and other fields, and can significantly reduce data transmission latency and improve privacy security. However, the limited arithmetic power of edge devices poses a challenge for efficient AI computing in resource-constrained environments, while also providing a huge opportunity to develop low-power, high-efficiency AI algorithms. The development of wireless network technologies (e.g., 5G) will also further drive the adoption of AI at the edge, with emerging technologies such as augmented reality and virtual reality benefiting. 💎 AI arithmetic ecosystem and future outlook The improvement of AI arithmetic not only relies on hardware innovation, but also requires the comprehensive development of software, algorithms, data, and talent. Building a complete AI ecosystem is the key to boosting arithmetic power.McKinsey & Company's report emphasises that synergistic cooperation across industries can accelerate the application and popularisation of AI technology, 🔥 especially in the deep integration of healthcare, finance, manufacturing and other fields. #AI #datascience #YuanMeiAccélerateur #innovation #Startups #technologie #ExpansionInternationale #Collaboration #France #Chine #accélérateur #accélération #francochinois #startup

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📰New paper out! 𝗪𝗵𝗲𝗻 𝗣𝗿𝗼𝗹𝗼𝗴 𝗠𝗲𝗲𝘁𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: 𝗔 𝗡𝗲𝘄 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗮𝗻𝗱 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗶𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 presented at the IEEE International Conference on Robotics and Automation (#ICRA2024 in Yokohama, Japan) 👏 🗣️​ DISI authors: Davide De Martini, Enrico Saccon, Ahmet Tikna, Edoardo Lamon, Luigi Palopoli and Marco Roveri In this paper, the authors propose a robot oriented knowledge representation system based on the use of a logical language. The framework hinges on a special organisation of knowledge base that enables: 1) its efficient population from natural language texts using semi-automated procedures based on Large Language Models (LLMs); 2) the seamless generation of temporal parallel plans for multi-robot systems through a sequence of transformations; 3) the automated translation of the plan into an executable formalism. 📌 More details ⏩ https://lnkd.in/e2iGrf5D #newpaperout #disipublication #robotplanning, #LLM #MultiAgent #prologlanguage #motionplanning #multirobotsystems #humanrobotcollaboration #roboticapplications #generativemethods #unitrento #unitrentoDISI UniTrento - IECS Doctoral School

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My research is available on @ResearchGate: Our research focuses on developing and evaluating a hybrid quantum-classical framework for optimizing power systems, particularly under the uncertainties introduced by the increasing integration of renewable energy sources. This innovative approach combines the computational strengths of classical high-performance computing (#HPC) with the emerging capabilities of quantum processing units (#QPUs) to address the challenges posed by mixed-integer stochastic programming (#MISP) formulations commonly used in power system optimization. #PowerGrid #Renewables #QuantumComputing https://lnkd.in/d3k_yAPC

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#Quantumtransition #QuantumDay #Quantumnews Demonstrated #qubit functionality in a basic #transistor-like #device constitutes a promising step towards the elaboration of #scalable #spinqubit geometries in a readily exploitable #CMOS #platform. A spin qubit in a CMOS (Complementary Metal-Oxide-Semiconductor) wafer refers to a type of #quantumbit (or qubit) that uses the spin of an electron in a #silicon environment for #quantumcomputation 1 2 3. Recently, there has been significant progress in the development of #spinqubits on a 300mm wafer 2. This advancement is crucial for building a #faulttolerant #quantumcomputer, which will require vast numbers of physical qubits 2. The use of #industry #standard #fabrication #processes and #CMOS-compatible #infrastructure is a promising step towards the development of #scalable #quantumcomputing #architectures 1 2. 1) https://lnkd.in/e2f7GW9v 2) https://lnkd.in/eR3bA5NJ 3) https://lnkd.in/eA6C9c_Y

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Today, MIT Energy Initiative and Plasma Science and Fusion Center at MIT held a webinar on their new study on the societal value and deployment of fusion energy. It showed that fusion will play an important role in global energy production - I learned a lot watching it! Earlier this week, in Europe, former Italian Prime Minister and ex-President of the European Central Bank, Mario Draghi, released the much-anticipated report on the future of European competitiveness. Within the report was an important call for an “overarching EU innovation strategy for fusion energy”, along with an effective public-private partnership and greater funding. As the new EU government comes into place, the FIA counts on the new European Commission to rapidly act on these recommendations to enable the EU to come back to the table on fusion energy leadership. Last week, the FIA launched our new member Committee on Digital Technologies to ensure the effective and appropriate application of digital technologies within the fusion industry. Big thanks to Cyd Cowley and Ross Allen of FIA affiliate member digiLab, who are serving as the initial committee chairs. Next Thursday, September 19th, there will be a hearing before the U.S. Senate Committee on Energy & Natural Resources focused on fusion energy technology development and commercialization efforts. The hearing will be live streamed and accessible through the FIA website. Finally, we’re less than two weeks out from the FIA Climate Week event with Jefferies in New York. Registration has reached (surpassed) capacity. Don't worry if you can’t make it – there are still plenty of public fusion-focused events going on that week including: a Climate Science Fair hosted by Emerson Collective with FIA members Commonwealth Fusion Systems and Zap Energy, a FIA member Thea Energy showcase at New Climate Futures, a Columbia University event on collaboration between academia and industry in accelerating fusion commercialization, and two events at the British Consulate New York - one on powering sustainable futures and another on global youth partnerships for fusion. If you've got time and are going, drop me a line and we'll hope to see you during that busy week in New York. As always, thank you for keeping up with the FIA and all our activity. Andrew Holland Chief Executive Officer Fusion Industry Association Catch up on the rest of what we're up to with today's FIA newsletter... https://lnkd.in/eqDZafeX

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T-RO authors, if you want to present at ICRA@40 in Rotterdam, the deadline for transferring your paper is Sunday, June 30. https://lnkd.in/dwbddeGp #ICRA40 #IEEERAS #Robotics #RoboticsResearch

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🔥🔥🔥 #ZKProof6 keynote Alessandro Chiesa from EPFL. Rich agenda: #Plonk, #SigmaProtocols, #IOPs, #FormalVerification efforts for #Groth16, #Bulletproofs, latest on #JOLT, #BitVM, #zkLogin, #Ligetron, #SumCheck, #STIR, #ZKPSecurity, #ZKPCompliance Join us! link in the first comment.

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✨ Best closing of the IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2024: presentation of the paper 'Time-Sensitive Networking and Software-Defined Networking: an experimental setup for realistic performances'. 📷 Claudio Zunino, Senior Researcher at Consiglio Nazionale delle Ricerche -member of the PREDICT-6G consortium- presents the paper. "This paper investigates the integration between Time-Sensitive Networking (TSN) and Software-Defined Networking (SDN) to enable dynamic network re-configuration and improve performance for time-critical applications. We present an experimental setup designed to evaluate this approach". Read the paper here ➡ https://lnkd.in/d6CgPRHG #ETFA #6G #Technology #Industry #PREDICT6G #HorizonEU

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🌍🌿 Advancing the future of sustainable urban environments is a shared mission. The insights from the IEA PVPS - Photovoltaic Power Systems Programme 𝗧𝗮𝘀𝗸 𝟭𝟱 Journal article resonate with our efforts in the MASS-IPV project, where we leverage digital tools to integrate cutting-edge #photovoltaic solutions into building designs. #Digitalization offers tremendous opportunities for #innovation in #SolarEnergy, but it also presents challenges in aligning diverse tools and technologies. Together, we are navigating these challenges to create smarter, greener cities! 🔆🏙️ #BIPV #SolarInnovation #MASSIPV #RenewableEnergy

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Ila Fiete of the McGovern Institute at MIT explains the Fiete Group's work that shows how grid cells enable a "clothesline" of attractor basins that can be used for associative memories. The latest #KempnerInstitute talk: https://lnkd.in/gKrVgRVQ #hippocampus

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In this study, the authors propose an innovative #Deep #Reinforcement #Learning (#DRL) agent based on #Proximal #Policy #Optimization (#PPO) to improve the #Energy #Efficiency (#EE) while considering #far-#near #fairness (#FNF) in #non-#orthogonal #multiple #access (#NOMA)-#unmanned #aerial #vehicle (#UAV) networks. This agent is designed to simultaneously control dynamic factors such as UAV 3D trajectory, downlink transmit power, #internet #of #things (#IoT) nodes association, and #power #allocation (#PA). ---- Benmeziane GHOMRI, Mohammed Yassine Bendimerad, Fethi Tarik Bendimerad More details can be found at this link: https://lnkd.in/eJ---izf

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Accurate prediction of Critical Heat Flux (CHF) is essential for ensuring safety and economic efficiency of water-cooled reactors and two-phase flow boiling heat transfer systems. However, the lack of a deterministic theory for CHF prediction remains a significant challenge in the thermal engineering domain. This has led to the development of numerous prediction models based on various CHF experimental data, with no single universally acceptable model covering the wide range of flow conditions encountered in practice. In this paper, we explore the use of a comprehensive CHF experimental dataset in conjunction with artificial intelligence techniques to predict CHF in vertical tubes, contributing to the ongoing efforts to address this critical issue. The proposed method stands on the collection of comprehensive CHF experimental data from various sources, covering a wide range of operating conditions, and is based on a new prediction model for the prediction of the CHF. Specifically, the prediction model consists of an ensemble of deep sparse autoencoders (AEs) used as a base-learner to extract robust features from the input data and a deep neural network (DNN) built on top of the ensemble of deep sparse AEs for use as a meta-learner to predict the CHF. The proposed method is validated on the collected CHF data and the obtained results show a substantial improvement in CHF prediction accuracy, outperforming standalone and other state of-the-art machine learning models. This innovative approach offers a notable improvement in CHF prediction, potentially contributing to the development of more reliable and efficient nuclear reactors. Available online: https://lnkd.in/d-ccujZc #CriticalHeatFlux #ProcessSafety #NuclearReactors #EnsembleModel #SparseAutoencoders #DeepNeuralNetwork

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Check out a recent publication, “Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions” by Michele Gucciardo, Beyza Futun, Aristide Tanyi-Jong Akem, and Marco Fiore, presented as part of the May 20, 2024 IEEE INFOCOM 2024 – IEEE Conference on Computer Communications Workshops. Summary: As modern networks evolve into complex systems to support next-generation applications with strict latency requirements, in-switch ML has emerged as a candidate technology for minimizing ML inference latency. In this paper, they perform a comprehensive evaluation of 5 leading solutions for DT/RF-based in-switch inference. They replicated and deployed the solutions into a real-world testbed with programmable switches, off-the-shelf servers connected via optical fiber links at 100 Gbps. The switches ran the ONL operating system, and the Intel Software Development Environment (SDE) version 9.7.0, for compiling P4 programs. Read the full paper here including research findings | https://bit.ly/3S2lm0o #P4 #ProgrammingLanguage #OpenSource IMDEA Networks Institute Charles III University of Madrid Intel Corporation

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In the field of fusion research it is crucial to understand plasma collisional processes. For this reasen the International Atomic Energy Agency (IAEA) has developed CollisionDB, an open-source database offering extensive data on plasma collision processes: https://lnkd.in/geiWsZqn #fusionresearch #fusionenergy #IAEA

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