tag: physical AI

Vision-Language-Action Models Arrive
By Mike Leonard - 14 May, 2026 - Comments: 0

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the recently held Embedded Vision Summit, VLAs were a main topic of discussion – not as a research curiosity, but as the architecture that teams building autonomous systems are actively targeting. If yo... » read more

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow
By Odin Shen - 09 Apr, 2026 - Comments: 0

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity simulation is a resource-intensive workflow that runs in the data center. What if that workflow could run on a single workstation? In this blog post, we explore a complete robotics pipeline bu... » read more

World First: MACsec IP Receives ISO/PAS 8800 Certification For Automotive And Physical AI Security
By Pavithra Suriyanarayanan - 02 Apr, 2026 - Comments: 0

The automotive industry is entering the age of physical AI. Vehicles are rapidly transforming into intelligent, software-defined systems that perceive their environment, make real-time decisions, and act in the physical world. As autonomy expands and AI workloads move to the edge, one reality is becoming clear: If the data cannot be trusted, the AI cannot be trusted. Following independent... » read more

Enabling Physical AI and Robotics: Platform for the Intelligent Edge
By Synaptics - 01 Apr, 2026 - Comments: 0

Physical AI has emerged as an essential technology driving the future of robotics — it closes the loop between perception, reasoning, and action in the real world using powerfully trained AI models. But for robots and autonomous machines, that loop only works well if it runs where the world is actually sensed: at the Edge. Instead of streaming raw sensor data to a data center for interpretati... » read more

Limiting AI/ML Tools To Ensure Physical AI Safety, Security
By Liz Allan - 05 Mar, 2026 - Comments: 0

Key Takeaways: AI-based tools can help monitor physical AI systems and LLMs, but human oversight is still needed to avoid false positives, bias, and other anomalies. For autonomous vehicles and robots, edge case scenarios and understanding human values are weak points, especially as moral and social values change over time. AI tools are growing and becoming increasingly helpful for c... » read more

Automotive Outlook: 2026
By Ann Mutschler - 08 Jan, 2026 - Comments: 0

The automotive industry stands at a crossroads entering 2026, facing a complex interplay of global tariffs, evolving electric vehicle (EV) dynamics, and the infusion of AI into just about everything. As manufacturers and suppliers navigate recent financing shifts and regulatory changes, they also must address consumer concerns over EV affordability and range, OEM concerns over when to develo... » read more

Security Threats Converge On IoT, Industrial ICs, Physical AI
By Liz Allan - 08 Jan, 2026 - Comments: 0

Devices in a broad range of edge AI applications are increasingly at risk of hacking or tampering, with the stakes varying greatly depending on how much the device can impact and interact with human life. Design methods and protection techniques must now be included up front in the design cycle for optimal protection of consumers and companies as the quantum threat looms. In today’s factor... » read more

HW-Accelerated Physical AI Framework For Resource-Constrained Edge Devices (ASU)
By Technical Paper Link - 07 Jan, 2026 - Comments: 0

A new technical paper titled "Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics" was published by researchers at Arizona State University. Abstract "Physical AI at the edge—enabling autonomous systems to understand and predict real-world dynamics in realtime—demands efficient hardware acceleration. Model recovery (MR), which extracts governing equations ... » read more

Physical AI Takes Functional Safety Cues From Automotive
By Liz Allan - 04 Dec, 2025 - Comments: 0

Robots are becoming smarter, more capable, and more pervasive, setting the stage for a whole new round of growth that will touch nearly every part of the semiconductor and software industries for decades to come. Robots are at the core of physical AI, a broad segment of edge AI systems that interact with the world through artificial intelligence and sensors. This includes everything from hum... » read more

LLMs Add Safety Risks To Physical AI
By Liz Allan - 06 Nov, 2025 - Comments: 0

Humanoid robots with artificial general intelligence are some years from entering our daily life, but application-specific robotics are already here. From Amazon’s fleet of fulfillment center robots to robotic surgical systems in operating rooms, search and rescue robo-dogs, autonomous drones, and last-mile delivery robots, all the way down to the humble Roomba vacuum cleaner, physical AI sys... » read more

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