Confidence isn’t built on day one - it’s built through practice. Simulation gives educators the space to test new strategies and walk into classrooms prepared for real student needs, real challenges, and real impact. #SXSWEDU #EdTech #TeacherPrep #AI #MixedReality Powered by BranchED.
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Awareness of Generative AI at Work is the latest addition to our HOT Lite microlearning range. In just 20 minutes, learners gain a clear, practical understanding of generative AI, its workplace benefits, and how to use it responsibly and ethically. Ideal for employees, supervisors and managers across any sector. Find out more at https://lnkd.in/eWvps3Hj #GenerativeAI #AIAtWork #Microlearning #OnlineTraining #WorkplaceLearning #LearningAndDevelopment #Highfield
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“How AI & Mixed Reality Are Transforming Teacher Prep” Next week at SXSW EDU, Dr. Cassandra Herring joins a panel of education leaders to explore how #AI-powered simulation and mixed reality are creating new ways for educators to practice, receive feedback, and build confidence. #SXSWEDU #EdTech #TeacherPrep #AI #MixedReality
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India’s demand for AI professionals is projected to reach 1 million by 2028, yet the gap between learning and real-world application continues to widen. This is not just a skills problem. It is a translation problem — between knowledge and practice. At Honeybee PHF, we are building Nexel, a virtual AI coaching platform designed to bridge this gap. Nexel aims to move beyond passive learning by helping professionals develop applied AI thinking, solve real-world problems, and build verifiable capabilities. We look forward to sharing more soon. #AI #DataAnalytics #FutureOfWork #SkillGap #Nexel #AIforImpact
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In rule-based systems, forward chaining is all about starting with the facts you already have and using if‑then rules to uncover new ones. Join Miss Paws as she walks us through how rule matching, rule firing and creating a new assertion works until nothing new can be inferred. It’s a clear, step‑by‑step look at how AI systems perform logical reasoning using simple, structured rules. We’ll work through a full example together featuring Hannah, Zack, and a growing chain of deductions that emerge as rules fire in order. You’ll see how AND and OR conditions behave and how new information is derived. But be warned: once you understand forward chaining a little too well, you may find yourself mysteriously compelled to shower Miss Paws with gifts from her wishlist. This is Video 6 of Module 1: Introduction to AI - History & Applications in the MehtA+ AI/Machine Learning: Foundations to Frontiers course. Adapted from the popular university-level MehtA+ AI/ML Research Bootcamp for high school students, this course is now freely available to learners everywhere. #rulebasedsystems #ai #rules #forwardchaining #examples https://lnkd.in/ekcM-SSf
Forward Chaining in Rule Based Systems | AI/ML Module 1.6
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Master best practices in #CollectionsManagement with the power of AI-driven #insights. Our Simulation Training Workshops, including CollectionLab®: Fundamentals (F003), are now enhanced with AI-powered insights. Experience a new level of learning where AI acts as an intelligent feedback loop, helping participants: - Build intuition for responding to metric trends faster than ever - See real-time cause and effect between collection decisions and performance - Understand which metrics matter most in every scenario See the Future. Shape the Outcome #AI #SimulationTraining #Collections
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Some days in a learning journey aren’t about building—they’re about understanding. As I continue transitioning into Generative AI, I’m realizing that slowing down to absorb fundamentals is just as important as shipping something quickly. Topics like prompting strategies, reasoning techniques, and RAG aren’t “one‑and‑done” concepts. Each revisit adds a new layer of clarity. Staying consistent > moving fast. Curious—how do you balance learning vs building in your tech journey? #GenerativeAI #CustomGPT #GeminiGems #AIEngineering #PromptEngineering #TechJourney #QAtoAI #CareerTransition
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Agents learn by doing. Not by clicking through slides. See how contact centers cut ramp time in half and increased CSAT 61% with Reddy Simulations. #ContactCenter #AI
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Stop treating AI Agents like magic. 🪄 Start treating it like the human brain. 🧠 When I first started learning AI, I struggled. Things felt abstract, complex, and overwhelmingly theoretical. But I had a massive breakthrough when I shifted my perspective, I stopped memorizing concepts and started mapping them to human brain. The best example of this shift is how we understand AI Agents. Think about how we complete any task. Your brain acts as a central planner. It divides a goal into logical steps and then assigns each task to different body parts, which essentially act as your tools. Think about swimming: 👉 How the arms pull. 👉 How the legs kick. 👉 How breathing is timed. AI agents work exactly the same way. The LLM acts as the brain (the decision-maker). It takes a complex prompt, breaks it down into smaller steps, assigns them to different tools, and works step-by-step to complete the task. If you’re learning AI right now, try this: Don’t just memorize the concepts. Relate them to how your brain works. That’s where real intuition begins. 🚀 🎥 Watch the youtube shorts explaining the Idea: https://lnkd.in/gZNbnNrG #ArtificialIntelligence #MachineLearning #AIAgents #TechCareers #LearningAndDevelopment #FutureOfTech
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Are we actually close to AGI, or are we just guessing? - Google DeepMind released a new framework that moves the needle from speculation to science For years, the conversation around Artificial General Intelligence (AGI) has been a mix of hype and subjective claims. We talk about "human-level" AI, but we haven't had a consistent way to measure it—until now. Google DeepMind released a new framework that moves the needle from speculation to science. Instead of looking at AI as a single "score," they’ve introduced a Cognitive Taxonomy that breaks intelligence down into 10 key faculties: 🔹 The Building Blocks: Perception, Generation, Attention, Learning, Memory, Reasoning, Metacognition, and Executive Functions. 🔹 The Composites: Problem Solving and Social Cognition. Why does this matter? Jagged Profiles: Today’s AI is "jagged"—it might outperform 99% of humans in coding but struggle with simple social cues. This framework helps us map those strengths and weaknesses visually. Human Baselines: It proposes testing AI against a representative sample of adults, ensuring we aren't just comparing models to other models, but to actual human performance. A Roadmap for Safety: By identifying specific gaps (like in metacognition or social understanding), we can better predict risks and craft smarter governance. The goal isn't just to build "smart" machines; it’s to build a rigorous science of AGI that we can all understand and trust. Check out the full framework here: https://lnkd.in/gdew-xAs #AI #AGI #DeepMind #MachineLearning #CognitiveScience #TechTrends
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Fox Valley Technical College was recently highlighted by NBC 26 for its innovative use of AI in the classroom. Instructors across multiple programs are leveraging AI tools to better prepare students for the evolving workforce. Read more on the FVTC Newsroom: https://bit.ly/4bCQ7TW #FVTC #AI #AIinEducation #WorkforceDevelopment
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