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Bridging the Gap Between Robotics Design and Deployment
Smart Roasting: Turning an Analog Coffee Roaster into an IoT Device
Beyond VLAs: How World Action Models Reshape Robot Manipulation
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene often fails when object shapes, positions, or lighting change. Generalizing to these new conditions requires the policy to understand the tasks underlying physics, not just mimic the demonstrations. This ability comes from the backbone it’s…
Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data labeling. This separation makes it hard to compare related outputs, investigate model behavior, and reuse the same representations across the development workflow. NVIDIA Alpamayo 2 Super is an open 34-billion-parameter reasoning vision…
Beyond Industrial Automation: How AI is Automating Creative Processes for Brands
AGIBOT’s foundation model tops benchmark test for audio-visual reasoning
Seedance 2.5: Advancing AI Video Creation for Modern Content Workflows
Interview with Arduino’s Marcello Majonchi: Qualcomm acquisition ushers in new era of edge AI and robotics
Contec Australia delivers Australia’s first 3D concrete printed swimming pool structure
How to choose a massage chair
mimic robotics introduces ‘frontier video-action models’ to the factory floor at Audi
Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....
Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation. Every demonstration requires specialized equipment, clinical expertise, and access to patients or laboratory environments. This creates three fundamental challenges for developers. First is the data gap. Training modern robotic policies…
NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they should be tuned to continue operating. This post introduces the latest model release, NVIDIA Ising Calibration 1.5, which advances AI-based QPU calibration by analyzing unfamiliar diagnostic results without prior training examples.
Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have outsized financial impact in fast-moving AI hardware cycles. Simultaneously, the shift from chip-level optimization to system-level engineering is compounding thermal and power challenges. Meeting these demands requires breakthroughs…
How to Efficiently Prompt Claude Code
Maximize your efficiency with Claude Code
The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.
The Real Bottleneck in Low-Code MES Software isn’t the Code
Connecting the Factory Floor and Back Office: The Next Step in End-to-End Automation
Best Eco-Friendly Packaging Companies for Sustainable Businesses
Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps
Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and...
Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and services they already use. Many of these workflows already depend on OpenUSD scenes, simulation-ready (SimReady) assets, Blender-based workflows, CAD pipelines, or domain-specific app stacks. The challenge is how to provide applications and…