This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation models (WFMs), which are generative AI models trained to simulate, predict, and […]
Lazar Trifunovic, Solutions Architect at Camio, presents the “LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the May 2025 Embedded Vision Summit. By using vision-language models (VLMs) or combining large language models (LLMs) with conventional computer vision models, we can create vision systems that are… “LLMs and VLMs for Regulatory
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Collaborative robots, or cobots, are reshaping how we interact with machines. Designed to operate safely in shared environments, AI-enabled cobots are now embedded across manufacturing, logistics, healthcare, and even the home. But their role goes beyond automation—they
Collaborating With Robots: How AI Is Enabling the Next Generation of Cobots Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly
R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our live demo of a generative AI assistant running completely on smart glasses — without the aid of a phone or the cloud — and the reveal of the new Snapdragon AR1+ platform spark new possibilities for
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our demo shows the power of on-device AI and why smart glasses make the ideal AI user interface Gabby walks into a gym while carrying a smartphone and wearing a pair of smart glasses. Unsure of where
We Built a Personalized, Multimodal AI Smart Glass Experience — Watch It Here Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and
R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research Read More +
New NVIDIA Isaac GR00T Humanoid Open Models Soon Available for Download on Hugging Face GR00T-Dreams Blueprint Generates Data to Train Humanoid Robot Reasoning and Behavior NVIDIA RTX PRO 6000 Blackwell Workstations and RTX PRO Servers Accelerate Robot Simulation and Training Agility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics and XPENG Robotics Among Many Robot Makers Adopting NVIDIA Isaac COMPUTEX—NVIDIA today announced VIDIA
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Our method, Trimmed-Llama, reduces the key-value cache (KV cache) and latency of cross-attention-based Large Vision Language Models (LVLMs) without sacrificing performance. We identify sparsity in LVLM cross-attention maps, showing a consistent layer-wise pattern where most
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features Read More +
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