Ansys AI’s Post

The future

In our latest edition, we're shining a spotlight on the #artificialintelligence and delving into its transformative impact on the simulation industry!

Get ready to simulate at the speed of AI with Ansys Advantage. 🌐 In our latest edition, we're focusing on #artificialintelligence and exploring how it's transforming the simulation industry. - SimAI Explained: See how AI is applied to numerical simulation in practice. - Digital Twin Deployment: Learn how to integrate AI with your #digitaltwins. - Meet AnsysGPT: Your new go-to virtual assistant for simulation queries. 👉 Swipe through the magazine below or click the link to explore the full issue: https://ansys.me/47UWi2k.

Leveraging AI and ML enhances problem-solving in construction! 🧠 Computational design helps break down big problems into manageable parts, allowing us to collaborate effectively. By using analysis and simulation, we can innovate together. Discover more about these advancements at https://hubs.la/Q02KwC8j0 or watch the full webinar featuring Thomas C. Carrier here: https://lnkd.in/g35ZbcEa #ArtificialIntelligence #MachineLearning #ConstructionTechnology

Upcoming webinar: "AI meets MBSE: Driving the Future of Systems Engineering in Transportation!" on January 10th. Explore the future of Model-Based Systems Engineering (MBSE) integrated with AI, specifically in the transportation sector. What You'll Discover: - Real-World Applications: Discover how AI4MBSE is setting new industry standards. - Innovative Toolchain: Learn about AI's role in revolutionizing Requirements Engineering. - Overcoming Challenges: Discuss current hurdles and future prospects in AI-enhanced transportation systems. Engage with our experts in the Q&A session at the end of the webinar. Don’t miss this chance to be at the forefront of AI in Systems Engineering. 🔗 Register now: https://lnkd.in/eEDA5jmr #AI #SystemsEngineering #Transportation

Everybody's talking about AI ... but do you really know how to get the best results from it? Watch this short video from Rich Vallaster III, CEM, DES with tips on writing prompts that get the results you want. #eventprofs #tradeshows

🎥 Just dropped: A MUST-WATCH video on Prompt Engineering for Event & Association Profs! Feeling lost in the AI revolution? You're not alone! With 46% of event professionals admitting to needing more understanding of AI, we're here to bridge the gap. 🌉 Rich Vallaster III, CEM, DES breaks down the art of asking AI (like ChatGPT) better questions to get the results you need, not just want! 🤖💡 From crafting precise prompts to mimic personalities, setting tones, and defining outputs—master the skills that make AI work for you. Here's a sneak peek of the gems inside: 1. Be Specific: Learn why "find a great restaurant in Washington" might not get you where you want to dine! 🍽️ 2. "Act as If...": Tap into the AI's versatility by asking it to think from varied perspectives. 🧠 3. Tone & Examples Matter: Discover how adjusting your tone can fine-tune your outcomes. 😃📉 4. Define Your Desired Output: Whether it’s a list, map, or image, learn to get exactly what you need. 🗺️🖼️ 5. Navigate Through “Do's & Don'ts”: Make AI cut through noise with precision. 🚫✅ But that’s not all! Stay tuned as we continue rolling out actionable AI tips and resources throughout the year—tailor-made for event professionals looking for tips to utilize AI effectively.

🚀 Enhance Your Annotation Workflow with the New SAM2 Model 🚀 I have an short example video demonstrating the SAM2 model, which is highly effective for dataset annotation. Key Points: Automated Annotation: Speeds up data labeling. High Precision Masks: Produces accurate segmentation. Pixel and Object Differentiation: Ensures detailed and reliable annotations. Zero-Shot Generalization: Segments images without additional training. Improved Over SAM: 6x faster inference speed and greater accuracy. Try the SAM2 model from Meta at SAM2 Demo: https://lnkd.in/gwYs8Csx #ComputerVision #AI #SAM2 #Automation #DataLabeling #ImageSegmentation #Precision #AIApplications #ZeroShotLearning #DeepLearning #MachineLearning #MetaAI #TechInnovation #Annotation #OperationalEfficiency #SmartTechnology #ObjectDetection #SpeedAndAccuracy #TechSolutions #Innovation

🚄 The Art of Speed: Unleashing Peak Performance in Generative AI 🚅 This enlightening talk at the Data Innovation Summit 2024, by the amazing Ekaterina Sirazitdinova, Senior Data Scientist, NVIDIA, will explore a solution to address this need, which involves optimizing AI models for performance and maximizing the utilization of available resources. Modern generative AI networks are growing in size and complexity to enhance accuracy and precision. As a consequence, such larger AI models result in reduced throughput and escalated memory needs. In the fast-paced landscape of AI, optimizing and scaling inferencing workloads becomes paramount. Key takeaways: 1️⃣ Understand why it is essential to optimize performance of your LLMs. 2️⃣ Learn specific techniques one can utilize to boost the performance of LLMs. 3️⃣ Discover free to use software products instrumental for LLM performance optimization. The tickets are almost gone! 🚀 Book your place at https://hubs.li/Q02qSPkL0 or feel free to reach me at: 📞: 0046812446996 📧: ivica@hyperight.com . . . #genai #ml #llm #DISummit2030 #DataInnovationSummit Saranda Elena Tomi Daniel Srgjan

✨ Revolutionizing Vision Models: EfficientVMamba Unleashes Powerful Lightweight AI ✨ 💡 Introduction: In a groundbreaking study, the EfficientVMamba model emerges as a novel efficient model variant, leveraging an atrous-based selective scan approach and efficient skip sampling to optimize visual state space models for lightweight design. This innovative system integrates a dual-pathway module that captures both global and local representational features, significantly enhancing performance across various vision tasks while maintaining computational efficiency. ⚙️ Main Features: EfficientVMamba introduces the ES2D selective scanning strategy, which organizes patches to reduce computational demands while preserving global feature maps. The EVSS block synergizes global and local feature extraction, and the InvertedFusion technique optimally allocates SSM and CNN blocks. With its selective scan approach and dual-pathway module, EfficientVMamba achieves state-of-the-art performance with lower computational costs. 📖 Case Study or Example: In practical applications, EfficientVMamba has been implemented in image classification, object detection, and semantic segmentation tasks, yielding impressive results. For instance, EfficientVMamba-T surpassed the accuracy of existing models like Vim-Ti on ImageNet by a large margin, achieving a 5.6% increase in accuracy. ❤️ Importance and Benefits: The significance of EfficientVMamba lies in its ability to balance computational efficiency with high accuracy, making it ideal for deployment on resource-constrained devices. Benefits include reduced computational complexity, competitive performance metrics, and versatility across a range of vision tasks. 🚀 Future Directions: While EfficientVMamba sets a new standard for lightweight vision models, future research could explore further optimizations to enhance computational efficiency and scalability, particularly for high-resolution inputs and complex real-world applications. 📢 Call to Action: Dive deeper into the world of efficient AI with EfficientVMamba and discover how it can transform your vision-based projects. For a more detailed exploration of this innovative model, visit the full research paper: [EfficientVMamba](https://lnkd.in/eJ-8aknU). #EfficientVMamba #LightweightAI #VisionModels #StateSpaceModels #AIInnovation #DeepLearning #MachineLearning #ArtificialIntelligence #TechTrends