ROBOTICS & AUTONOMY
Airbus UpNext evaluates edge-AI architectures for autonomous aircraft landing
The aerospace division is integrating computer vision with multi-modal sensor fusion to enable real-time environmental perception on board.
Robotics & Autonomy
HEALTH & BIO AI
NVIDIA Open-Sources GPU-Native Medical Physics Simulation Framework
The new toolkit enables high-fidelity synthetic data generation for surgical robotics, addressing critical data gaps in clinical AI training.
HEALTH & BIO AI
Medtronic Deploys NVIDIA-Powered Edge Compute for Real-Time Surgical AI
The new Touch Surgery Aide platform integrates NVIDIA hardware to enable low-latency computer vision applications within the operating room.
ROBOTICS & AUTONOMY
Avride deploys cloud-based vision-language models for robotic safety
The company is integrating heavy foundation models as a semantic safety net to help delivery robots interpret complex, high-stakes urban environments.
ROBOTICS & AUTONOMY
MIT Researchers Introduce DAAAM for Spatiotemporal Robotic Memory
A new architectural framework enables mobile robots to store and retrieve semantic information about their environment using natural language queries.
ROBOTICS & AUTONOMY
RLCore Deploys Constrained Reinforcement Learning for Industrial Infrastructure
The new RLTune platform integrates directly into existing utility control stacks to provide real-time, adaptive process optimization without requiring digital twins.
ROBOTICS & AUTONOMY
Norwegian researchers deploy reinforcement learning for robotic food processing
A new robotic system utilizes deep reinforcement learning and tactile sensing to automate the delicate task of slicing and serving salmon.
ROBOTICS & AUTONOMY
IDV Robotics deploys computer vision for GPS-denied autonomous navigation
The ATLAS navigation system utilizes synthetic data and probabilistic filtering to enable uncrewed ground vehicles to operate in contested environments without satellite signals.
HEALTH & BIO AI
Autonomous robotic ultrasound system uses deep reinforcement learning for cardiac scans
The AI-driven robotic arm locates standard diagnostic views faster and more accurately than human operators. Trained in a generative simulation environment, the system aims to standardize scan quality and expand access to cardiac imaging.
HEALTH & BIO AI
Autonomous RL Robotic Ultrasound Outperforms Human Operators
Concordia University researchers utilized generative AI synthetic data to train a deep reinforcement learning agent capable of executing complex cardiac imaging without manual guidance.
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