Rendered.ai

What are the😠most disruptive obstacles to avoid in developing performant #computervision algorithms? Prepare for the new year with insights from experts at Rendered.ai to help you avoid the data pitfalls that will delay development timelines and increase costs. 👀 Watch "5 Data Pitfalls to Avoid in Computer Vision": https://buff.ly/3ZO151E In this video, you will learn about: 🟢 The top data challenges slowing #innovation in computer vision today 🟢 Solutions helping #datascientists to develop and validate CV models faster 🟢 #Syntheticdata engineering to accelerate the experimentation, training, and validation of vision-based #artificialintelligence and #machinelearning systems in action How can we help? Connect with one of our experts to see how synthetic data engineering and the Rendered.ai platform can give you an advantage in 2025: https://buff.ly/3ZD17JS

The National Geospatial-Intelligence Agency and Rendered.ai are at the cutting edge of #AI applications in #defense and intelligence. Learn about the next advancements in imagery-based #artificialintelligence in this session from this year's Space Capital Summit, "Big (Geospatial) Data and AI". Watch the full session now: https://lnkd.in/g5yGfgrM.

The🤯advances in #syntheticdata engineering for different types of #computervision imagery are mindblowing! Download this lookbook and see imagery simulated to closely resemble real-world data collection from different sensor types using the Rendered.ai platform. 📩 Download the Rendered.ai Lookbook: https://buff.ly/3P5lB96 To see more examples of synthetic #SAR, #RGB, hyperspectral, multispectral, #X-ray, #infrared imagery, and full motion video, explore the Rendered.ai #PaaS for yourself! 🧑💻Request trial access: https://buff.ly/3ZYvFqW Rochester Institute of Technology Ansys Quadridox, Inc.

📰 Linkedin News just released its 7 biggest #AI predictions for 2025! The breakthroughs coming in #artificialintelligence models for practical and predictive use cases and sensor technology to make #robotics more mainstream depend on the availability of large-scale training datasets, #syntheticdata, and advanced #engineering tools. Read all 7 predictions here: https://buff.ly/3OWv6Yr Get an assessment of your data needs to develop performant #computervision models faster in the new year! 💪 Request your no-commitment consultation with a Rendered.ai expert now: https://buff.ly/41DX2rA

Performant #computervision models can be achieved at⚡breakneck speed with the right stack of technologies in place. Read Rendered.ai's latest Medium blog to discover how the right data engineering tools, #generativeai, and NVIDIA technologies work together to speed up development timelines, reduce costs, and accelerate #innovation in #AI and #ML. 📖 Read our blog: https://buff.ly/49tXyu1 Are you looking for an additional leg up for your computer vision programs in 2025? Connect with one of our experts for a no-commitment consultation for your specific needs: https://buff.ly/3OOtboq!

🤔 How can you get the latest news in #computervision, #syntheticdata, #artificialintelligence, #machinelearning #innovation? Easy! 📩 Subscribe to the UNSTRUCTURED newsletter and have updates delivered directly to your inbox! https://buff.ly/4feWRWT In this month's edition, we shared: 🔵 News on the successful detection of methane and CO2 emissions by Planet's Tanager-1 constellation sensors, advancing how scientists track environmentally damaging emissions around the globe. 🔵 An end-of-year offer from Rendered.ai for a no-commitment consultation with our team of experts to help you train performant computer vision models faster! 🔵 Insights on using NVIDIA technologies, the Rendered.ai #PaaS, and #generativeAI together to quickly and inexpensively experiment with, train, and validate computer vision models. 🔵 A sampling of the expertise offered by the Rendered.ai team to help you accelerate model training and development for different domains. Read our latest newsletter now to learn more about any of these topics! https://buff.ly/49vUyx4

The #computervision market is projected to ↗️ grow by 7X in the next 8 years. Think of how much training data is needed to sustain this growth‼️ Learn how to access unlimited and customized #syntheticdata to train performant #AI and #ML systems faster in this quick guide from Rendered.ai. 📩 Download the guide: https://buff.ly/4ffTz5n What are your biggest challenges in training computer vision? Share your use case with our team of experts for a free, no-commitment consultation that will help position you for success in 2025! https://buff.ly/4gtB0Mq

🌎Just one year ago, Planet built a robust set of synthetic #hyperspectral imagery using the Rendered.ai platform to fast-track the pre-launch testing of their new constellation of emission-detection satellites. Learn how #syntheticdata can be quickly engineered and used to simulate the collection of real imagery before a satellite is even launched: https://buff.ly/49w8hEd Today, Planet's Tanager-1 #satellite #AI successfully detects methane and CO2 plumes from space, presenting a more impactful way of tracking environmentally damaging emissions around the globe. Read more: https://buff.ly/4g4Yqrp Have you hit a wall with insufficient datasets to train a new #computervision sensor pre-deployment? Speak with our experts and map out a project plan to accelerate your progress with synthetic data successfully. 📆 Schedule a time to connect: https://buff.ly/3DgWsFL.

Training #machinevision🦾to detect every #manufacturing defect is hard. Watch this quick tutorial to see how computer vision developers engineer scalable data to train reliable inspection systems more easily with the Rendered.ai #PaaS. ❇️ Connect with a Rendered.ai expert to get a personalized demo ahead of 2025 planning: https://buff.ly/4f6Mhkm If you have a unique use case #computervision model training, reach out to Rendered.ai before the end of the year. We'll provide a no-commitment consultation to save you significant time, money, and frustration in developing nextgen #artificialintelligence and #ML for binning and sorting, defect and deviation detection, and beyond!

👏 NVIDIA announced a new combination of hardware and software at #AWSreInvent today designed to scale physical #AI workflows with a boost from Amazon Web Services (AWS). 🖥️ Get the latest details from #NVIDIA: https://buff.ly/3CYH7cY Without question, this will accelerate #artificialintelligence development for #robotics, but robust training datasets for these systems are still very ❎ difficult and costly to acquire. 🚀 See how Rendered.ai's platform integration with NVIDIA Omniverse Replicator offers the solution to this issue with rapid, customized #syntheticdata generation for faster training, testing, and validation of #computervision models in robotics and other applications. Dig deeper in the newest Rendered.ai blog📖: https://buff.ly/4fT3U8H