An avid cyclist, Thomas Park knows the value of having lots of gears to maintain a smooth, fast ride. So, when the software architect designed an AI inference platform to serve predictions for Oracle Cloud Infrastructure’s (OCI) Vision AI service, he picked NVIDIA Triton Inference Server. That’s because it can shift up, down or sideways to handle virtually any AI model, framework and hardware and operating mode — quickly and efficiently. “The NVIDIA AI inference platform gives our worldwide cloud services customers tremendous flexibility in how they build and run their AI applications,” said ..read more

Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate spatial data that helps optimize operations in real time. A member of the NVIDIA Metropolis vision AI partner ecosystem, Zensors helped the Toronto Pearson operations team significantly reduce wait times in customs lines, decreasing the average time it took passengers to go through the a ..read more

With the help of AI, robots, tractors and baby strollers — even skate parks — are becoming autonomous. One developer, Kabilan KB, is bringing autonomous-navigation capabilities to wheelchairs, which could help improve mobility for people with disabilities. The undergraduate from the Karunya Institute of Technology and Sciences in Coimbatore, India, is powering his autonomous wheelchair project using the NVIDIA Jetson platform for edge AI and robotics. The autonomous motorized wheelchair is connected to depth and lidar sensors — along with USB cameras — which allow it to perceive the environm ..read more

Each year, nearly 32 million people travel through the Bengaluru Airport, or BLR, one of the busiest airports in the world’s most populous nation. To provide such multitudes with a safer, quicker experience, the airport in the city formerly known as Bangalore is tapping vision AI technologies powered by Industry.AI. A member of the NVIDIA Metropolis vision AI partner ecosystem, Industry.AI has deployed its vision AI platform across BLR’s newest terminal, T2, known as the Garden Terminal for its green spaces, indoor gardens and waterfalls. It’s one of the first deployments of intelligent video ..read more

Goran Vuksic is the brain behind a project to build a real-world pit droid, a type of Star Wars bot that repairs and maintains podracers which zoom across the much-loved film series. The edge AI Jedi used an NVIDIA Jetson Orin Nano Developer Kit as the brain of the droid itself. The devkit enables the bot, which is a little less than four feet tall and has a simple webcam for eyes, to identify and move its head toward objects. Vuksic — originally from Croatia and now based in Malmö, Sweden — recently traveled with the pit droid across Belgium and the Netherlands to several tech conferences. H ..read more

When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, measure the environmental impact of their holdings, and assess damage after a crisis. Spatial finance applications include monitoring assets, modeling energy efficiency, tracking emissions and pollution, detecting illegal mining and defor ..read more

It worked like magic. Computer vision algorithms running in a data center saw that a disease was about to infect a distant wheat field in India. Sixteen days later, workers in the field found the first evidence of the outbreak. It was the kind of wizardry people like Vinay Indraganti call digital transformation. He’s practiced it for 25 years, the last dozen of them at companies like Ingredion, a Fortune 500 food-ingredient producer. The India project was the first big test of AGRi360 — a product suite for sustainable agriculture powered by NVIDIA Metropolis — from the startup that Indraganti ..read more

Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models (LLMs) powering generative AI. H100 GPUs set new records on all eight tests in the latest MLPerf training benchmarks released today, excelling on a new MLPerf test for generative AI. That excellence is delivered both per-accelerator and at-scale in massive servers. For example, on a commercially available cluster of 3,584 H100 GPUs co-developed by startup Inflection AI and operated by CoreWeave, a cloud service provider specializing in GPU ..read more

When California skies turned orange in the wake of devastating wildfires, a startup fused computer vision and generative AI to fight back. “With the 2020 wildfires, it became very personal, so we asked fire officials how we could help,” said Emrah Gultekin, the Turkish-born CEO of Chooch, a Silicon Valley-based leader in computer vision. California utilities and fire services, they learned, were swamped with as many as 2,000 false positives a week from an existing wildfire detection system. The wrong predictions came from fog, rain and smudges on the lenses of a network of cameras they used ..read more

Rendered.ai is easing AI training for developers, data scientists and others with its platform-as-a-service for synthetic data generation, or SDG. Training computer vision AI models requires massive, high-quality, diverse and unbiased datasets. These can be challenging and costly to obtain, especially with increasing demands both of and for AI. The Rendered.ai platform-as-a-service helps to solve this issue by generating physically accurate synthetic data — data that’s created from 3D simulations — to train computer vision models. “Real-world data often can’t capture all of the possible scena ..read more