🚀 I spent the entire day training image segmentation... models from scratch! I've created several pretrained models to detect features like buildings, cars, ships, solar panels, and wetlands. Video tutorials are coming soon! 🤗 Check out the pretrained models on Hugging Face: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearningshow more

🚀 A sneak peek of a new feature in... the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearningshow more

🚀 The #GeoAI Python package now supports feature segmentation... from high-resolution satellite and aerial imagery using text prompts, such as trees, buildings, etc. It efficiently processes large datasets with automatic tiling and can save results as a single image. Stay tuned for more features coming soon! 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearningshow more

🚀 Exciting news! The #GeoAI Python package now lets... you train land cover classification models with just one line of code. Leverage any PyTorch segmentation model from — with hundreds of image encoders & pretrained weights available. 📍 GitHub: 📓 Notebook: #GeoAI #Geospatial #DeepLearningshow more

The GeoAI Python package now supports object detection using... pre-trained models from the GeoDeep libarary ( The supported object types include cars, trees, birds, planes, aerovision, utilities, buildings, and roads. Try it out: GitHub: Notebook example: #geospatial #geoai #opensource #pythonshow more

Want to bring open-source vision language models to the... edge? 💻 Check out our Hugging Face article on deploying NVIDIA Cosmos Reasoning 2B across the NVIDIA Jetson family with vLLM and a Live VLM WebUI. 📖show more

Hey #RobloxDev 👋! Procedural Models are now FULLY released... into #Roblox Studio! You can now build Parametrized 3D Models with Code or AI. Check out this example of a procedural island by Matt_hxw! Read more in the Dev Forum post 👇 (video credit from post below).show more

Love After Love, from my new album Wide Open... Light due June 2, is out now. Listen to the album version on digital now, and check out the entire acoustic video on YouTube. Video: Digital: Film and painting by Gabriel Judet-Weinshelshow more

AI models = ꧁IP꧂ Memes = ꧁IP꧂ Game assets... = ꧁IP꧂ Voice and likeness = ꧁IP꧂ In short, everything is ꧁IP꧂ Check out more of this freshly baked video content in our overhauled learn hub (link in bio) and dive into the world of ꧁IP꧂show more

Gemma 4 is here! Our most intelligent open models... to date, are built on the same world-class research and tech as Gemini 3, and are sized to run and fine-tune efficiently on local hardware. Check out what Google Gemma 4 brings to devs: 💎 Advanced Reasoning: Deep logic tasks, complex multi-step planning, and beyond 💎 Longer context: Seamlessly analyze entire codebases with context windows of 128K tokens for our edge models and 256K tokens for our largest models 💎 Vision and audio: Rich, multimodal interactions out of the box 💎 140+ languages: Trained on 140+ languages 💎 Apache 2.0 license: industry-standard open-source licenseshow more

Discover one of the best all-in-one AI platforms! TapNow... offers a node-based system to manage the entire creation process from start to finish and includes most AI video and image tools! (example in thread ⬇️) Seedance 2 should be coming soon, but even with other, more recent models like Kling 3, it's perfectly possible to create your own short films.show more

Ready to take your healthcare AI from pilot to... production? 🧪Join clinicians, researchers, and builders at #NVIDIAGTC as they walk through real-world deployments: scaling medical imaging models, accelerating drug discovery with GPU-accelerated pipelines, and integrating AI safely into existing clinical systems. Check out the session catalog 👇show more

parakeet.cpp: native C++/ggml (ggml) inference for NVIDIA AI Developer's... Parakeet, one of the best speech-to-text models out there, from the LocalAI team. Every Parakeet model (TDT/CTC/RNNT/hybrid + cache-aware streaming), byte-for-byte identical output to NeMo, now running anywhere with no Python and even a bit faster, on CPU and GPU. Quantized GGUF on Hugging Face 🤗 Huge thanks to Georgi Gerganov for ggml and to NVIDIA AI Developer for releasing Parakeet! 🧵show more

I tried Hedra Agent by Hedra to see if... one conversation could replace the usual mess of switching models, rewriting prompts, and juggling tools. So I started with a simple idea, Hedra Agent: - Selected the right models on its own - Generated refined visuals - Suggested multiple stylistic directions - Then turned the chosen frames into a cohesive video All within the same conversation while remembering every detail we discussed. I was able to shift the mood, adjust the lighting, refine the composition, explore different angles, and even adapt the format simply by giving natural feedback. I did not have to restart or rebuild anything from scratch. The Agent handled the workflow from idea to finished, platform-ready content. What stood out was not just the output quality, but also the continuity. Instead of operating tools, it felt like collaborating with a system that understands context and builds with you step by step. Check how it works 👇🏻show more

I topped up $5 on an API aggregator ToAPIs... Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0show more

In a masterclass at Sequoia Capital AI Ascent, Jim... Fan laid out the "Great Parallel": how robotics is speedrunning the LLM playbook. 🔹 VLA → WAM: Moving from language-heavy models to "World Action Models" that dream in physics. 🔹 Teleop → EgoScale: Replacing manual data with human egocentric video. 🔹 Simulation 2.0: Using neural simulators like DreamDojo to turn compute into environments. "Our generation was born too late to explore the earth and too early to explore the stars. But we are born just in time to solve robotics." He believes that robots will pass the Physical Turing Test in the coming 2–3 years.show more

🚀LATEST PARTNERSHIP: TECTUM We’re delighted that Tectum has partnered... with Zesh. To celebrate, here’s another incredible giveaway: 💰$300 Giveaway - Participate NOW: Tectum is the fastest 3rd Gen Layer 1 blockchain with 3.5 million TPS and SoftNote™️ crypto payment solution. Their unique method turns the impossible into a routine process: they completely isolate all the transaction-related heavy data from the entire process by hashing, encrypting and signing the bundles at the end of every phase of a transaction and archiving it. Check them out and dive into To The Moon to start earning your rewards!show more

RainDEARS!💚 Are you excited to watch Rain perform at... #ThePlayroom? Can you guess which songs from the b luvd EP she'll sing? Catch it soon on ABS-CBN Star Music's Youtube channel and keep yourself posted for more updates 👀✨ Check out our playlist of previous TPR performances here: 🔗 #Rain #RainCelmar #bluvd #StarMagic #StarMusicPHshow more

Check out the behind-the-scenes on how we created our... 'Primal Glow' ad to launch Nano Banana Pro on Leonardo Ai. From initial concepting to refining the "Primal Glow" aesthetic, this guide takes you through the full production process. Here are two immediate takeaways from our workflow: 1. Consistency is key (and simple). We found that hard-coding a specific film stock into our prompts (we chose Ektachrome) was the easiest way to ensure lighting and color grading matched across every single shot. 2. Leverage "World Knowledge" for localization. Instead of manually translating ad copy, we prompted for specific locations (like a Tokyo subway or a Berlin bus stop). The model automatically translated the text into Japanese (Katakana) and German to match the environment. The full guide covers storyboarding at speed (we finished the concept in 1.5 hours!), our prompt structures, and the specific settings used. Jump in and check it out. 🐒 Repost + Comment "glow" for the guide in your DMshow more

✨ I added actual collision maps to as Javi... Lopez ⛩️ kept telling me to do at our weekly coworking day today This means now the drone can not fly through buildings but it can fly through holes inside buildings like windows etc. Buildings are important because you can take cover there, bullets also hit the collision maps At the end of the video to show it worked I flew the drone a bit too hard into the wall so it died 😂 The tech behind it is Mesh BVH, so cool!!! "Mesh BVH is a THREE.js addon that builds a Bounding Volume Hierarchy from a mesh's triangles. A BVH is a tree where each node holds a box containing some triangles; child nodes split those triangles into smaller boxes. Queries walk the tree and skip entire branches that can't possibly contain the answer, turning "check all 5,000 triangles" into "check ~log₂(5000) ≈ 12 boxes."show more

The recent Massachusetts Institute of Technology (MIT) CSAIL paper... published on Recursive Language Models is a fascinating look into how AI systems reason in 2026. You can check it out here ➡️ → The paper notes that even frontier models suffer from “context rot” as inputs grow longer. More tokens don’t mean more understanding. Instead of compressing or summarising, RLMs “treat long prompts as part of an external environment” …and let the model programmatically inspect, decompose, and recursively requery itself over precise sections. This matters in Web3. Why? Smart contracts are long, stateful, and brittle. One missed assumption = unnecessary hassle. In the video below, we applied RLM principles to improve the prompt shown. The old prompt would try to force multi-step pauses. Therefore breaking the AI's workflow. Now it decomposes requirements, scores confidence for each component, verifies the logic, and then synthesises. Result = Production-ready contracts with flagged risks, not blind single-pass outputs. Try it out with our Smart Contract Generator today!show more