EvolveLAB’s Post

Ever Wondered What It’s Like to #Automate Your #BIM Workflow with #AI? Shout out to Bill Allen the visionary founder of EvolveLAB and his incredible team! These leaders in the AEC industry have been pushing boundaries in the AI space for years, empowering professionals to design, build, and create with cutting-edge technology. One of their standout innovations is #GLYPH, a powerful Revit plugin that’s transforming the way we work. Imagine automating repetitive tasks like creating views, tagging elements, dimensioning, or packing sheets—all in just a few clicks. GLYPH isn’t just a tool; it’s a game-changer for streamlining BIM workflows, saving time, and reducing errors. Here’s how AEC professionals are using GLYPH: • Architects are standardizing documentation in record time. • Engineers are automating view creation for complex projects. • Contractors are improving project efficiency with accurate, automated sheets. Why waste hours on manual tasks when you can focus on creating amazing designs? If you’re ready to revolutionize the way you work, check out GLYPH from EvolveLAB. Explore how it can optimize your projects and take your BIM workflows to the next level. Learn more here: evolvelab.io/glyph Once again, a huge shout out to Bill Allen and the EvolveLAB team for leading the way in AI-powered AEC solutions. Your work is truly inspiring! #BIM #Automation #AIInAEC #Revit #EvolveLAB #GLYPH #ConstructionInnovation #ArchitectureTechnology #EngineeringExcellence

🚀 Exciting Update! 🚀 Bicer Delta Robot is now fully equipped with AR/XR control capabilities! 🎮💡 With a powerful virtual interface, users can now remotely control the robot from anywhere in the world 🌍, navigating through an interactive AR/XR menu. But that’s not all! This next-gen robot comes with: 🔹 AI control with automated speech recognition, powered by OpenAI GPT-4o, allowing the system to interact with its environment and detect and interpret objects. 🔹 Integrated computer vision for real-time object detection and manipulation. 🔹 Its very own smart conveyor system for seamless automation. 🔹 Fully customisable workflows that take precision and efficiency to the next level. From industrial applications to advanced remote operations, this robot is setting the standard for future automation. 💥 And stay tuned—I'll be sharing a new video soon, showcasing the AI control feature in action! If you're curious about the endless possibilities of AR/XR in robotics, let's connect! ✅ Python ✅ PyTorch ✅ TensorFlow ✅ OpenAI ✅ OpenCV ✅ Meta Quest 3 ✅ Bicer Delta Pro #robotics #automation #ARXR #computervision #remotework #industry40 #smartmanufacturing #innovation #BicerDeltaRobot #techinnovation #MetaQuest3 #Quest3 #MetaQuest #OpenAI Wevolver Ultralytics OpenBuilds

#Microsoft #AI team is sharing some of their early releases of their latest #copilot capabilities with limited users. These preview capabilities will be available via #Copilot #labs: 🧠 #Think #Deeper: An advanced reasoning feature within Copilot Labs that helps solve complex problems by providing detailed, step-by-step answers. 👀 #Copilot #Vision: A feature that allows Copilot to understand and interact with the content you are viewing in Microsoft Edge, enhancing task navigation and assistance through natural language commands. https://lnkd.in/eSMFBJ_E #Microsoft #AI #Copilot #Innovation #ResponsibleAI

Checkout the new AI Copilot features of FlowWright v10.5 #FlowWright #AI #CoPilot #Automation #openAI https://FlowWright.com

Microsoft CoPilot Pro subscribers will have access to CoPilot Labs, where they will be among the first to experience new experimental features and help shape the future of AI. Two recent features are Think Deeper and CoPilot Vision ( seen in the video below ) These technologies are still very much in their infancy, and not without their foibles and areas of improvement, but it's worth bearing in mind that these capabilities will only get better. What would like to see as the next evolution of AI? Bramatt Computing Ltd Microsoft The Copilot Studio #AI #generativeAI

How do humans enter a highway? 🚗🛣️ The following video shows a traffic scene from the USA in which the approaching vehicles have to merge onto a crowded highway. With our technology, we can capture countless of these #merging #scenarios for all vehicle types in an extremely short time frame. Such data is essential to gain a comprehensive understanding of real-world driving for the development of #ADAS and #AD systems. Take a look at how accurately we bring this scene to life in #3D, just from a simple video recording 🤯 #TrafficData #3DVision #AI

A white paper released by Intetics Inc. on the transformative impact of generative artificial intelligence (GenAI) on software development has found: ✅ AI tools can reduce time spent on planning tasks by 30%-40%, enhancing productivity and creativity. ✅ AI-driven solutions improve efficiency in architectural and technical design tasks by 10%-20%. ✅ Depending on the task, AI can boost software engineers' productivity by 5%-60%. ✅ AI-based testing enhances test coverage and efficiency by up to 40%, ensuring higher product quality. ✅ AI refines deployment methodologies, increasing efficiency by up to 15%. For more info: https://bit.ly/4f5iKc3 At ApplyDrone, we use cutting-edge AI technologies to improve our drone services and deliver quality results: https://bit.ly/49Py2Oy #AIDevelopment #GenAI #SoftwareDevelopment #TechInnovation

🚀 Exploring YOLOv8 for Object Detection! 🚀 Today, I'm diving into the world of YOLOv8 (You Only Look Once) – one of the most powerful object detection architectures. YOLOv8 is incredibly efficient and accurate, pushing real-time detection capabilities to new heights. Key benefits of YOLOv8: 🔹 Speed & Efficiency: YOLOv8 enhances performance with fast processing speeds, ideal for real-time applications. 🔹 High Accuracy: Its advanced architecture improves detection accuracy, even with complex images. 🔹 Versatile Applications: From autonomous driving to security systems, YOLOv8 has broad use cases in the AI field. The improvements YOLOv8 brings over previous versions make it a game-changer, especially in areas where split-second decisions are crucial. 💻 Looking forward to implementing this in my projects and seeing the results YOLOv8 can achieve. Let's keep pushing the boundaries of what's possible in AI! #MachineLearning #DeepLearning #ObjectDetection #YOLOv8 #ArtificialIntelligence #ComputerVision

𝐋𝐢𝐪𝐮𝐢𝐝 𝐀𝐈 has launched a revolutionary new class of AI models called Liquid Foundation Models (LFMs). These innovative models, built on a fundamentally different architecture, are set to redefine the landscape of generative AI. LFMs deliver exceptional performance while maintaining remarkable efficiency. They require minimal system memory yet provide computing power that rivals or even surpasses the best large language models available today. Liquid AI introduces three LFM models: ➡️ 𝐋𝐅𝐌-𝟏𝐁: 𝟏.𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬, designed for resource-constrained environments ➡️ 𝐋𝐅𝐌-𝟑𝐁: 𝟑.𝟏 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬, perfect for edge deployments like mobile apps, robots, and drones ➡️ 𝐋𝐅𝐌-𝟒𝟎𝐁: 𝟒𝟎.𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬, a "mixture of experts" model for complex cloud-based use cases 🔗 https://lnkd.in/eQPKjHp7 #LiquidAI #LFM #GenerativeAI #ArtificialIntelligence

"While we were busy making its walk more robust for 10/10, we’ve also been working on additional pieces of autonomy for Optimus! The absence of (useful) GPS in most indoor environments makes visual navigation central for humanoids. Using its 2D cameras, Optimus can now navigate new places autonomously while avoiding obstacles, as it stores distinctive visual features in our cloud. And it can do so while carrying significant payloads! With this, Optimus can autonomously head to a charging station, dock itself (requires precise alignment) and charge as long as necessary. Our work on Autopilot has greatly boosted these efforts; the same technology is used in both car & bot, barring some details and of course the dataset needed to train the bot’s AI. Separately, we've also started tackling non-flat terrain and stairs. Finally, Optimus started learning to interact with humans. We trained its neural net to hand over snacks & drinks upon gestures / voice requests. All neural nets currently used by Optimus (manipulation tasks, visual obstacles detection, localization/navigation) run on its embedded computer directly, leveraging our AI accelerators. Still a lot of work ahead, but exciting times! " Optimus (Tesla Bot) Engineering - Milan Kovac #tesla #teslabot #optimus