André Schleife’s Post

AI beats humans for the first time in physical skill game. CyberRunner completed the labyrinth maze game in 14.48 seconds. Read More: https://buff.ly/3RDUN0S K2 Partnering Solutions helps companies discover, develop and deploy talent, and make amazing connections. Visit our website to find out more: https://buff.ly/41y5mXJ #ITProjects #Techtraining #TechEducation #EnterpriseCloud #EnterpriseOnPremises #Cybersecurity #PredictiveAnalytics #BigData #SocialEnterprise #Mobility #AI #Robotics #IoT #TechRecruitment #ITRecruitment #AWS #Salesforce #SAP #Microsoft #Oracle #GoogleCloud

🔍 Federated Learning 🌐 In today's data-driven world, the balance between leveraging vast amounts of information and respecting user privacy has never been more critical. 🤝 What is Federated Learning? Federated Learning is a decentralized machine learning paradigm that enables collaborative model training across multiple edge devices, without compromising data privacy. Unlike traditional centralized approaches, Federated Learning ensures that raw data remains on individual devices, with only model updates transmitted to a central server for aggregation. ✅Applications : Healthcare: Collaborative model training on patient data while maintaining privacy. Finance: Robust fraud detection models without compromising sensitive financial information. Personalized Recommendations: Tailored suggestions without sacrificing user privacy. Autonomous Vehicles: Enhancing safety and efficiency through decentralized model training. ✅ Benefits : Privacy Preservation: Keep sensitive data local, minimizing privacy risks. Data Diversity: Train models on diverse datasets, reflecting real-world variability. Scalability: Efficiently scale to accommodate massive IoT deployments. Reduced Communication : Transmit model updates, minimizing bandwidth usage. Continual Learning: Adapt models to evolving data distributions over time. ✅Challenges and Considerations: Heterogeneity: Address differences in devices, connectivity, and data distributions. Security Risks: Mitigate threats such as model poisoning and inference attacks. Communication : Manage costs associated with model aggregation. Bias and Fairness: Ensure fair and unbiased model training across diverse populations. #federatedlearning #machinelearning #privacy #innovation #ai #futuretech #dataprivacy #deeplearning #datascience #datascience #linkedinlearning

Federated Learning is revolutionizing the way we train AI models. What is Federated Learning? Federated Learning is a cutting-edge approach that allows AI models to be trained across multiple decentralized devices or servers holding local data samples, without transferring the data itself to a central location. This method ensures that your data remains on your device, enhancing privacy and security. Why It Matters: - Privacy Protection: Your data never leaves your device, reducing the risk of data breaches. - Security: Decentralized training means there is no single point of failure, making systems more robust against attacks. - Efficiency: By leveraging local data, Federated Learning reduces the need for large data transfers, saving bandwidth and improving response times. - Inclusivity: Devices with local data contribute to model training, ensuring diverse data representation and reducing biases. Applications: - Healthcare: Training models on decentralized patient data to improve diagnostics without compromising privacy. - Finance: Enhancing fraud detection systems by learning from transaction data across multiple banks without sharing sensitive information. - Smart Devices: Improving AI functionalities in smartphones and IoT devices by leveraging data locally without needing to upload it to the cloud. Federated Learning represents a significant step forward in AI development, balancing innovation with the critical need for data privacy. As we continue to navigate the digital age, embracing technologies like Federated Learning will be key to building a more secure and efficient future. #AI #FederatedLearning #DataPrivacy #MachineLearning #Innovation #TechTrends #FutureOfAI

A few years back, I released a slide deck on Machine Learning basics that got a lot of attention. Today, I’m excited to reveal another treasure that I found in my poorly organized google drive and I thought it would be cool to share. I am trying to post actively on LinkedIn so you can expect to see more from me moving forward. 🚀 "Intrusion Detection in IoT Botnets using Deep AutoEncoder Q Network (DAEQ-N)" This work combines the robustness of reinforcement learning with the precision of deep autoencoders to tackle network intrusion detection. It’s not just about detecting anomalies; it's about redefining security paradigms and enhancing system resilience. 💡 Why is this important? As we dive deeper into the digital age, safeguarding our networks becomes paramount. DAEQ-N is not just a tool; it's a game-changer. 🔗 I’ve laid out everything in a comprehensive slide deck that delves into the core concepts and practical implementations of building a state-of-the-art anomaly detection system. Stay ahead of the curve: Explore the fundamentals of reinforcement learning. Unpack the architecture of deep autoencoders. See how these technologies synergize to spot and adapt to new threats dynamically. 🌐 Whether you're a data scientist, a cybersecurity enthusiast, or just someone fascinated by the power of AI, this deck is for you. 👇 I’m excited to share this journey with you. Let’s connect, explore, and innovate. Dive into the deck, ask questions, share your insights, and let's push the boundaries of what's possible together! (a.k.a Influencer lines 😁) #MachineLearning #AnomalyDetection #CyberSecurity #AI #DeepLearning #ReinforcementLearning #Datascience #foundation #iot #DataScientist #ArtificialIntelligence #edgesecurity

Generative AI Models - Federal Office for Information Security (BSI) Opportunities and Risks for Industry and Authorities #Generative #AI #models are capable of performing a wide range of tasks that traditionally require creativity and human understanding. They learn patterns from existing data during training and can subsequently generate new content such as texts, #images, and #music that follow these patterns. Due to their versatility and generally high-quality results, they, on the one hand, represent an opportunity for #digitalization. On the other hand, the use of generative #AI #models introduces novel #IT #security #risks that need to be considered for a comprehensive analysis of the threat landscape in relation to IT security. In response to this risk potential, companies or authorities using them should conduct an individual #risk #analysis before integrating generative AI into their workflows. The same applies to developers and operators, as many #risks in the context of #generative #AI have to be taken into account at the time of development or can only be influenced by the operating company. Based on this, existing security measures can be adjusted, and additional measures can be taken. Centro de Investigación de Ciberseguridad IoT - IIoT

FedEx and Cisco are leveraging AI to make precision package tracking and seamless developer onboarding a reality. Here’s what you need to know: → FedEx’s Dataworks initiative centralized global operations data into one hub and then used AI to optimize their processes. The result? 1) Package Fingerprint, which uses AI to create a unique identity for each parcel (based on package details and routes), effectively eliminates blind spots and guesswork. Now, packages can be tracked with precision and delivered hassle-free. 2) The SenseAware IoT device now monitors sensitive parcels’ environmental conditions (and can even reroute them accordingly). Equipped with real-time temperature, humidity, and light exposure data, shipping pharmaceuticals and perishable items just got a big upgrade. → Cisco is leveraging Co-Pilot Chat so developers can have nuanced conversations with AI about the projects they’re working on. This is a game-changer for onboarding developers. Now, no one will have to sit through lengthy knowledge sessions to learn all the nooks and crannies of new and existing projects and tools. Check out the full article to hear from YSEOP CEO Emmanuel Walckenaer on a key element for AI success https://lnkd.in/duJ5mmuJ #artificialintelligence #automation #AI 

Automated machine learning (#AutoML) is democratizing the use of #AI across business functions, driving scalability and ease of model production. By abstracting away AI complexity, AutoML opens data-driven competitive advantages to more companies, accelerating digital transformation in the #ICT and #mediaindustry. #AMR #ICT #technology #AI #IoT #edgecomputing #cybersecurity #sustainability #automation #machinelearning #digitaltransformation https://lnkd.in/dtQKRdSF

Exciting advancements in AI research are paving the way for large multimodal models (LMMs), combining text, images, and more for enhanced capabilities. From assisting the visually impaired to revolutionizing industries like healthcare and e-commerce, the potential of multimodal AI is vast. With the ability to process diverse data types, LMMs offer a more human-like approach to problem-solving and decision-making. As this technology continues to evolve, the possibilities for innovation and transformation are endless. #MultimodalAI #LMMs #AI #Innovation #Technology #ArtificialIntelligence https://lnkd.in/gxUbq2tE

A 30-year-old former cashier has remarkably transformed a small idea into a groundbreaking large-scale solution. This individual, once working behind a register, is now a leading expert in the fields of artificial intelligence (AI) and machine learning, specifically focusing on financial compliance. Here's the unbelievable story of the transformative impact on financial regulations that you’ve probably never heard of: 🌟 - The development of AI for financial compliance is revolutionizing the way businesses adhere to complex and ever-changing regulations. - By leveraging advanced machine learning algorithms, companies can ensure they meet compliance requirements with unprecedented efficiency and accuracy. This technological advancement not only significantly reduces the risk of non-compliance but also enhances overall operational efficiency, allowing businesses to focus on growth and innovation. 💼🔍 Stay ahead of the curve with regulatory changes and streamline your compliance processes by harnessing the power of AI. Discover how these cutting-edge advancements can benefit your business and keep you compliant in an increasingly regulated world. #AI #MachineLearning #FinancialCompliance #Innovation #DigitalTransformation Visit our website for more information: [http://michaelweyers.de](http://michaelweyers.de) If you found this insightful, please share or comment! #ITConsulting #ProcessOptimization #ProjectManagement #DataAnalysis #BusinessIntelligence #DigitalTransformation #CloudComputing #AgileMethods #RiskManagement #Compliance #ITSecurity #TeamLeadership #BudgetManagement #CustomerSatisfaction #ArtificialIntelligence #MachineLearning #BlockchainTechnology #IoT #RoboticProcessAutomation #Cybersecurity

🚀 Top 3 Emerging Markets in the IT Sector to Watch in 2024 🚀 As technology continues to evolve at an unprecedented pace, savvy investors are looking to capitalize on emerging opportunities in the IT sector. Here are three markets poised for explosive growth: 1. Artificial Intelligence (AI) and Machine Learning (ML) 🤖 AI and ML are transforming industries by automating processes, enhancing decision-making, and delivering personalized experiences. With advancements in natural language processing, autonomous systems, and predictive analytics, this market is set for exponential growth. 2. Cybersecurity 🔐 With the increasing frequency and sophistication of cyberattacks, cybersecurity has become a top priority for businesses worldwide. Investment in next-gen security solutions, including AI-driven threat detection and zero-trust architecture, is crucial to protecting sensitive data and maintaining consumer trust. 3. Edge Computing 🌐 As the demand for real-time data processing grows, edge computing is emerging as a game-changer. By bringing computation and data storage closer to the data source, it reduces latency and enhances performance, making it essential for IoT devices, autonomous vehicles, and smart cities. These markets not only promise substantial returns but also drive innovation and shape the future of technology. Stay ahead of the curve by exploring investment opportunities in AI & ML, Cybersecurity, and Edge Computing! 🌟 #Investing #Technology #Innovation #AI #Cybersecurity #EdgeComputing #FutureTech