Juan Miguel Pérez Rosas

📣 Chirone Tech soutient l’initiative « AI & Blockchain Convergence Task Force » Key Messages: 🌟 Empowering Progress: Uncovering how technology can empower us to overcome societal challenges and drive positive change. 🔍 Mitigating Challenges: Exploring the unique challenges posed by #AI and #blockchain, from privacy concerns to regulatory complexities, and suggesting potential solutions. 🤝 Promoting Collaboration: Advocating for collaborative efforts to address the societal implications of AI and blockchain convergence. Join the AI & Blockchain Convergence Task Force: 🤝 Calling all organizations and stakeholders in the blockchain and AI ecosystem! Join our AI & Blockchain Convergence Task Force to shape ethical frameworks and governance principles for a fairer, more transparent future: https://lnkd.in/eyuNs2tU https://lnkd.in/d2yPciV

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Read our Signatory paper on Artificial Intelligence and Blockchain Technology.

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🎫 Join Dawn Foster of CHAOSS for A Strategic Approach to Assessing Viability of OSS Projects at our Open Source in Finance Forum on 26th June in #London 🔗 https://bit.ly/3y4xDKC Talk Abstract The ease in adopting open source can lead to organizations using software without considering its long-term viability. What happens when a project changes the license, stops making security updates, or has other issues that impact its usage? When a project that is incorporated into your products or services later becomes unviable, it can have negative implications for your users, customers, and reputation. This talk will compare the risks and rewards associated with projects under neutral foundations vs. those controlled by companies and look at how the people leading and contributing to the project influence risk. The presentation will contain details about how to assess project policies, governance, security practices, adoption, and community dynamics that can impact the stability and overall success of a project. Throughout the presentation, there will be discussions about techniques for measurement and which collections of metrics might be appropriate for your evaluations. The audience will walk away with practical advice about how to strategically evaluate the viability of open source projects within their supply chain and assess the risks and rewards for their situation. 📆 OSFF Schedule: https://bit.ly/3Ug63Sl Event presented by FINOS & The Linux Foundation #OSFF2024 #OSinFinance #opensource #fintech #financialservices #techevent #conference #opensourcecommunity

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Are your institution's research records buried in Google search results? 🔎 This recent study by Enrique Orduña-Malea, Cristina I. Font-Julián, and Jorge Serrano-Cobos dives into a big question for universities and research institutions: how visible are institutional repositories (IRs) in Google’s search results, and are they helping drive readership, downloads, and citations? Based on over 200,000 records, the authors find that many IR entries struggle to appear in top search positions. This raises an important question: are IRs focused too much on preservation and not enough on discoverability? For stakeholders in open access, research management, and IR development, these findings point to key opportunities: enhanced metadata schemes, standardized descriptions, and other #SEO best practices can boost IR visibility. Curious about actionable steps to boost your IR’s reach? Check out the full article here: https://lnkd.in/duAzXcAY #ResearchVisibility #OpenAccess #InstitutionalRepositories #SEO #DigitalTransformation P.S. 📢 Want to optimize or upgrade your institutional repository? Reach out—our team is here to help your research get the reach it deserves!

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This paper studies #quality #of #experience (#QoE)-oriented resource allocation in #mobile #edge #clouds (#MEC) while considering user diversity, limited resources, and the complex relationship between allocated resources and user experience. The authors introduce a #closed-#loop #online #resource #allocation (#CORA) framework to tackle this problem. It learns the objective function of resource allocation from the historical dataset and updates the learned model using the online testing results. Due to the learned objective model being typically non-convex and challenging to solve in real-time, they leverage the Lyapunov optimization to decouple the long-term average constraint and apply the prime-dual method to solve this decoupled resource allocation problem. ----Liqun FU, Jingwen Tong, Tongtong Lin, Jun Zhang More details can be found at this link: https://lnkd.in/gWKPFZfP

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#NVDA - Fiscal Policy Interventions Could Make AI Benefits More Universal IMF Says https://buff.ly/3REH62y Generative artificial intelligence technologies hold great potential for enhancing delivery of public services and improving productivity. However, the current scale and speed at which these technologies are being adopted is also increasing concerns about inequality and job loss. Despite this...

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#ICYMI From data-oriented to domain-centric: explore the spectrum of #Java persistence patterns with Otavio Santana’s #InfoQ article: https://bit.ly/48he8vI Delve into Driver, Mapper, DAO, Active Record, and Repository for robust architectural foundations. #SoftwareDevelopment #SoftwareArchitecture #Frameworks

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👾 #Quantumcomputing has the potential to break current #encryption and authentication methods based on classical asymmetric #cryptography, which could pose a serious threat to data security and privacy for a wide variety of companies. 👉 Companies that rely on classical cryptography to protect their products and services should start preparing for the possibility of #quantumattacks. ✅ Learn more about Quantum Resistance in this blog post by Benoît Gerhard, Senior Director Security Evaluations at Kudelski IoT Labs: https://kdlski.co/3WtfYGM #CyberSecurity #QuantumSecurity #IoTSecurity #IoT #InternetofThings

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This article by Pere Martra explores a structured pruning technique for state-of-the-art models, that uses a GLU architecture, enabling the creation of smaller and more efficient large language models. #Llama #LLM

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Access the best error suppression natively integrated into IBM Quantum services! With Q-CTRL performance-management software you can: ✅ Achieve more, faster ✅ Get the best algorithmic results ✅ Enhance performance with a single setting https://buff.ly/3Wdllde

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Quantum Computing with Qiskit by IBM & IBM Quantum Abstract: We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development and examine the software architecture and its core components. We demonstrate an end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit’s capabilities, for example, the representation and optimization of circuits at various abstraction levels, its scalability and retarget ability to new gates, and the use of quantum-classical computations via dynamic circuits. Lastly, we discuss some of the ecosystems of tools and plugins that extend Qiskit for various tasks, and the future ahead. Table of Contents:- I. INTRODUCTION II. DESIGN PHILOSOPHY 1. Modularity and extensibility 2. Balance between performance and rapid prototyping 3. Balance between portability and hardware optimization 4. Levels of abstraction and full-stack integration 5. Quantum-classical integration: real-time and near time 6. Computational primitives 7. Four-step workflow 8. Integrated visualizations 9. Tensor ordering convention III. SOFTWARE ARCHITECTURE A. Circuits B. Pass Manager C. Primitives IV. QISKIT BY EXAMPLE A. Ising model simulation on a quantum computer B. Scalability C. Retargetable transpilation D. Dynamic circuit adaptation V. QISKIT ECOSYSTEM VI. CONCLUSIONS VII. ACKNOWLEDGMENTS Appendix A: Suppressing errors in dynamic circuits Follow Hilbert Quantum for more updates about our courses. Please subscribe to our newsletter to receive email updates. • Hilbert Quantum Newsletter: https://lnkd.in/gdczZpFv https://lnkd.in/gbxgF9Nc

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We’re excited to share that Ruihang Xia, a core developer at Greptime, will speak at the Carnegie Mellon University Database Group Seminar, hosted by the renowned Prof. Andy Pavlo. 🗓 Mon Nov 25, 2024 ⏰ 04:30pm EST Ruihang will focus on managing the query aspect of a (time-series) database across various parts. We have extended #DataFusion to implemenet #PromQL, add grammar candies to #SQL, cooperate with external secondary indexes and write domain-specific optimizer rules etc. Each of above is extended in a different stage of query execution. In addition to new features, we’ll also discuss using DataFusion and #Arrow as frameworks for implementing and optimizing custom plans. If you’re passionate about databases or cutting-edge tech, this is a talk you don’t want to miss! 👉 Get the Zoom link here: https://lnkd.in/gYr9T4hC

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Follow Code To Career The Transformative Role of Quantum Computing in Real-World Challenges https://lnkd.in/d9UGDDp4 Quantum computing, leveraging quantum mechanics, offers transformative potential for solving real-world problems. Its applications span drug discovery, supply chain optimization, climate modeling, and financial analysis, promising breakthroughs in healthcare, sustainability, and cybersecurity. By processing information exponentially faster than classical computers, quantum systems can tackle previously unsolvable challenges #QuantumComputing #RealWorldSolutions #QuantumMechanics #Innovation #DrugDiscovery #SupplyChainOptimization #ClimateModeling #FinancialAnalysis #HealthcareBreakthroughs #Sustainability #Cybersecurity #FutureOfTech #TechInnovation #QuantumSolutions #ExponentialProcessing

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Discover how AI can revolutionize health systems in low and middle-income countries! 🌍💻🏥 Africa Perianez, Ana Fernández del Río, Ivan Nazarov, Enric Jané, Moiz Hassan Khan, Aditya Rastogi, and Dexian Tang present the Causal Foundry AI and Reinforcement Learning platform, which integrates with digital health tools to deliver adaptive interventions and improve health system performance. Learn how this innovative approach can enhance supply chain operations, patient management, and capacity building in resource-constrained settings. Read the full article: https://bit.ly/4fj4eg6

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📣 NEWS: Announcing ReadCube Pro, an #AI-powered expansion of our award-winning ReadCube. Offering researchers new tools to simplify and accelerate literature management and literature monitoring workflows. Speaking at the AI in Drug Discovery Xchange event in San Francisco (hubXchange), ReadCube Co-founder and CEO Robert McGrath said: "Literature monitoring and literature review are critically important for life sciences organizations, yet in practice the work remains highly manual and involves multiple teams and tools. "These AI enhancements, along with a host of enhanced search and library features, are designed to radically streamline many common research workflows." Digital Science CEO Dr Daniel Hook said: "...for those in the fields of life sciences and pharmaceutical medicine, we believe that our tools can help to speed up discoveries that make a difference to health treatments and outcomes around the globe." 🔗 See their full comments in our announcement: https://ow.ly/FMH250TwctN 🔗 See more about ReadCube Pro: https://ow.ly/SUXb50TweXi #AIAssistant #LiteratureMonitoring #LiteratureManagement #LifeSciences #pharma #DrugDiscovery #PharmaSuccess #health #biotech #research #innovation

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🧠 Google Releases DataGemma! 🧠 Google has announced #DataGemma, a new set of open #AI models designed to address the challenge of hallucinations in large language models (#LLMs) by grounding them in real-world statistical data from Google's Data Commons. Data Commons is a vast knowledge graph containing over 240 billion data points from trusted organizations like the #UN, #WHO, and #CDC. DataGemma utilizes two approaches to enhance LLM factuality: 1. Retrieval-Interleaved Generation (RIG): This method proactively queries Data Commons to fact-check statistical information during response generation. 2. Retrieval-Augmented Generation (RAG): This technique incorporates relevant contextual information from Data Commons before generating responses, leveraging Gemini 1.5 Pro's long context window. Preliminary results show improvements in the accuracy of language models when handling numerical facts, potentially reducing #hallucinations in various use cases. Google is making DataGemma available to researchers and developers as part of the Gemma family of open models. The company aims to refine these methodologies further and eventually integrate this enhanced functionality into both #Gemma and #Gemini models. By sharing this research and making the models open, #Google hopes to facilitate broader adoption of techniques for grounding LLMs in factual data, making AI more #reliable and #trustworthy. #US #MAANG #software #bigdata #artificialintelligence #machinelearning #ML #news #bigtech #technews #engineering #data #innovation https://lnkd.in/g6ju_uez

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Check out our new #Radar article to understand #GraphRAG and enhance #LLM applications through knowledge graphs: https://bit.ly/3YVoePl

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