The Digital Explorer’s Post

Proposed Artificial Intelligence guardrails a welcome step in curbing potential for harm: Australian Academy of Technological Sciences & Engineering #AI #AInews #artificialintelligence #technology #tech #technews #responsibleAI

#PromptEngineering #GenerativeAI #ContinuousLearning Credits: Jules White. His insights and expertise are invaluable for anyone interested in generative AI and prompt engineering.

Best Paper of the Year 2023: AI in Structural Engineering (America and Africa Region) https://lnkd.in/eNg-2Bd8 #engineeringstructures

The application of artificial intelligence in #Webuild’s construction sites, a new frontier of #innovation! 🇦🇺 #Webuild is testing new #AI systems in the vast #Melbourne construction site, where hundreds of workers are building the North East Link. Here, machines are equipped with micro-cameras that function like eyes, analyzing the operational area in real-time and triggering an alarm when human presence encroaches on the machine’s range. Read more about the project 👉 https://bit.ly/3RFac26

Top 25 Must-Have AI Tools for Everyone – Curated by Jimma University Institute of Technology - Artificial Intelligence Center & Debo Engineering Corporate! #AI #ArtificialIntelligence #Technology #Innovation #AIForEveryone #ProductivityTools #MachineLearning #AIInnovation #TechSolutions #FutureOfWork #DeboEngineering #AICenter #DigitalTransformation #TechForGood #SmartTools

Check out the July 17th seminar to learn how to speed up your simulations with AI-based reduced order models. Register now! #AI #Engineering #Simulink https://spr.ly/60429xGjq

How Artificial Intelligence Can Transform US Energy Infrastructure - CleanTechnica: How Artificial Intelligence Can Transform US Energy Infrastructure  CleanTechnica http://dlvr.it/T6T4HL #ai #artificialintelligence

#AI Prediction for #CFD 💧 These methods are compelling but require substantial, well-prepared data and explicit training. AI methods may not be the primary choice in scenarios where a few standard PDE simulations can get the job done. However, they shine in cases where engineering organizations must repeatedly navigate a narrow design space, offering speed and cost advantages. They integrated AI prediction capabilities right alongside their trusted PDE solver. This means that for a given problem, you can choose between AI prediction and the traditional PDE solver, depending on what best suits your needs. 📅 Learn more: https://lnkd.in/e59u4w7H Source: SimScale (via David Heiny / Matthias Bauer) #cfd #simscale #navasto #simulation #engineering

Exploring the realm of prompt engineering, the technique of self-consistency emerges as a significant advancement in enhancing the reliability of AI-driven reasoning processes. Initially proposed to move beyond basic greedy decoding strategies, self-consistency involves generating multiple reasoning paths to establish the most dependable outcome, particularly useful in arithmetic and commonsense reasoning tasks. Consider an error in a simple arithmetic prompt where traditional methods misjudge the age difference between siblings given their ages at different times. Traditional AI models might incorrectly compute the current age of the younger sibling. By applying self-consistency, we generate several reasoning paths and cross-verify them to select the most coherent and repeated answer, significantly reducing errors. Self-consistency not only refines the output by corroborating multiple reasoning paths but also boosts the performance of Chain-of-Thought (CoT) prompting. For engineers and developers, embracing this technique could mean the difference between deploying mediocre AI systems and highly effective, accurate solutions that perform well even in complex reasoning scenarios. This advancement underscores the importance of iterative validation in AI computations, promising more dependable and intelligent systems in our everyday tech applications. #AI #MachineLearning #PromptEngineering #ArtificialIntelligence #TechnologyInnovation

Discover how #OSPE's Artificial Intelligence in Engineering Working Group is pioneering ethical AI practices for the #engineering sector: https://bit.ly/3BDBnVx #OSPELeads #EngineersLead #EngineeringAI #EthicalAI #AIinEngineering #EngineeringInnovation #TechEthics #AILeadership #EngineeringFuture #AIIntegration #ResponsibleAI #AIForGood #OntarioEngineers #Engineers