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…AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To further accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 - an open foundation model for humanoid robot reasoning and skills. NVIDIA said this update…
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…manager takes advantage of the GPU-accelerated processing and Python scriptability inherent to Dyndrite’s engine. According to the company, this combination enables customers to simplify and automate build preparation across their additive manufacturing technologies at supercharged speeds. HP is committed to supporting multi-platform additive workflows across machine fleets, including HP Multi Jet Fusion, Binder Jetting (BJT), Laser Powder Bed Fusion (LPBF),…
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…process. Each deployment includes a GPU-equipped computer, camera and pretrained perception models. Images are processed locally, with results communicated through APIs to robot controllers and programmable logic controllers (PLCs). When customers enable cloud connectivity, operational data and pick results can periodically be sent to OSARO for model retraining. OSARO said that updated models are delivered automatically when the company's system…
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…with the NVIDIA Ampere architecture GPU (graphics processing unit), next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth, explained NVIDIA. Developers will be able to develop systems for their largest and most complex AI models in natural language understanding, 3D perception, and multi-sensor fusion, it claimed. To demonstrate the performance improvement, NVIDIA ran some computer vision benchmarks…
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…a typical computing platform running GPUs by implementing NVIDIA Jetson is important for enabling us to do these kinds of missions,” said Towal. Oceanic surveying meets edge AI Saildrone relies on the NVIDIA JetPack SDK for access to a full development environment for hardware-accelerated edge AI on the Jetson platform. It runs machine learning on the module for image-based vessel…
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…NVIDIA’s Jetson NX Carrier Board GPUs. Rajat Aggarwal, CEO of DreamVu, said NVIDIA’s chips have helped the company take advantage of more sophisticated software to better take advantage of artificial intelligence. Robots that can only take advantage of CPUs from Intel are more limited power-wise, Aggarwal said. Those limitations can pose problems since a good vision system needs a robust…
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…depending on the accuracy required. GPU-resident solver technology and accelerated computing make it possible to bring advanced physics earlier into the design cycle, rather than reserving them for late-stage validation. META completes the workflow by enabling high-performance visualization, quantitative analysis, multi-run comparison, and automated reporting so that large datasets can be converted into actionable insight faster. The impact is measurable.…
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…setting up our product, since GPUs [graphics processing units] are integral to any AI application,” said Vuine. “We have close relationships with the robot guys,” he noted. “Our incentives are perfectly aligned—we allow them to enlarge the total addressible market. Variance for end effectors is usually a barrier to adoption. They also bring interesting use cases for MIRAI, such as…
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…more computing power (e.g., Nvidia GPUs, Omniverse, etc.), data, cloud-computing platforms (e.g., Amazon AWS), new hardware and advanced engineering. Many robotics startup companies are capitalizing on this “super evolution” of technology to build more intelligent and more capable machines. In parallel, there’s another phenomenon happening in the world: a “convergence of technologies.” It means that engineers are coming up with…
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…second] performance, with eight CPUs, GPU, and cameras all integrated,” said Singh. “The vision processors support seven cameras concurrently, giving 360-degree awareness. This enables smaller, lighter, and safer drones.” “The main camera has 8K resolution, which can be used to detect and classify defects in real time for inspections,” he said. In addition, the Qualcomm RB5 5G is intended to…
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…Deere. “Machine learning running on GPUs [graphics processing units] intepret the inputs.” The self-driving tractor also continuously checks its position relative to a geofence, ensuring it is operating where it is supposed to, and it is accurate to less than an inch (2.5 cm), said Kovar. Redundant safety systems include RGB and depth, and the neural network classifies each pixel…
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…data centers in which CPUs, GPUs and DPUs are able to combine into a single computing unit that’s fully programmable, AI-enabled and can deliver levels of security and compute power not previously possible.” Optimized to offload critical networking, storage and security tasks from CPUs, BlueField-2 DPUs enable organizations to “transform their IT infrastructure into state-of-the-art data centers that are accelerated,…
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…“Using our NVIDIA RTX A6000 GPUs and Omniverse will provide our creative geniuses more opportunities to cause ever greater trouble on the show.” Availability and pricing NVIDIA Omniverse Enterprise is currently in limited early access. The platform will be available later this year on a subscription basis from the company's partner network — including ASUS, BOXX Technologies, Dell Technologies, HP,…
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…advancements in hardware/electronics, computing horsepower (GPUs + edge computing), AI, and cloud computing have made it possible to engineer more intelligent and capable machines. We’re going to see more startups in the robotics space emerge to leverage this massive technology infrastructure with the goal of grabbing a piece of a gargantuan market. Mandy Dwight — VP of Business Development It’s…
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…for model training, Amazon EC2 GPU instances for simulation, AWS IoT Greengrass for edge deployment, and Amazon Bedrock AgentCore for intelligent orchestration NVIDIA: NVIDIA Isaac Sim for simulation, NVIDIA Isaac Lab for reinforcement learning, NVIDIA Isaac GR00T for humanoid machine training, and NVIDIA Cosmos for synthetic world generation Amazon said that customers can adopt the full end-to-end stack to manage…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
