Physical AI (PAI) in autonomous and electric vehicles (EVs) involves systems that perceive the environment, make intelligent decisions, and execute appropriate actions in real-time, bridging the gap between digital intelligence and physical motion. PAI is autonomous, and electric vehicles can be used for several functions. Initially, it’s helping improve battery management and energy efficiency. In […]
FAQ
What are the applications of physical artificial intelligence?
Physical artificial intelligence (PAI) enables machines to perceive, reason, and act within the real world, bridging the gap between digital AI (DAI), sometimes called virtual AI, and physical action. PAI often leverages spatial artificial intelligence (SAI) technology. PAI applications span numerous industries, from basic automation to autonomous vehicles and complex surgical procedures. PAI applications represent […]
What is physical artificial intelligence and why is it important?
Physical artificial intelligence (PAI) refers to AI systems that can perceive, understand, reason about, and interact with the physical world in real time through sensors and actuators. Unlike digital AI (DAI), which operates in virtual domains, PAI powers tangible actions in dynamic, real-world environments. PAI is used in closed-loop systems where the AI model not […]
MCUs and MPUs, which does your project really need?
The basics of microcontroller units (MCUs) and microprocessor units (MPUs) haven’t changed too much. But application requirements have. What was once a simple automotive, industrial, or medical control system may now include edge AI processing, increasingly demanding security requirements, or complex 3D animated human machine interfaces (HMIs). That can change the game when choosing between […]
FAQ on Resistive Random Access Memory (RRAM)
There are many non-volatile memory technologies in use; RRAM is another option — maybe. Random access memory (RAM), sometimes called by a more descriptive name of read/write (R/W) memory, is critical to modern electronic systems. Small amounts are needed as a numeric scratchpad or to store data samples before processing; moderate amounts are needed to […]
Can chiplets save the semiconductor supply chain?
We’re making more semiconductors than ever before, and yet somehow, it’s still not enough. Demand is continuously increasing, spurred by the rise of AI in our everyday lives, but production still faces bottlenecks. The problem is more than just scale; it comes down to the structure of the manufacturing industry as a whole. As of […]
Why is the Matter 1.4.2 update important?
Matter 1.4.2 is a maintenance release that improves security, streamlines certification, and optimizes infrastructure operation. This article presents only highlights. In addition to improving certain areas of performance, it adds more new features than most maintenance releases. And, like most maintenance releases, it addresses issues found in previous versions and fine-tunes operations to improve reliability, […]
When should you use RAG, TAG, and RAFT AI?
Retrieval-augmented generation (RAG) and table-augmented generation (TAG) are both techniques to improve the ability of artificial intelligence (AI) to generate accurate and relevant information by leveraging external data. Other choices include retrieval-augmented fine-tuning (RAFT) and retrieval-centric generation (RCG). Understanding when to use RAG, TAG, RAFT, and RCG can be crucial to successful and efficient AI […]
What is JESD209-6 and why is it important for edge AI?
JESD209-6, the recently released LPDDR6 (low power double data rate 6) standard by JEDEC, represents a significant leap forward in memory technology, particularly for devices with limited power budgets. It’s crucial for the next generation of mobile devices, AI applications, and edge computing, where high performance and power efficiency are paramount. It’s also expected to […]
What kinds of tools are available for optimizing edge AI performance?
Developers can turn to model optimization frameworks and libraries, model optimization, distillation, and compression tools, plus hardware-specific optimization tools and development platforms for optimizing edge AI performance. Kubernetes and containerization provide additional tools for optimizing AI edge performance. Frameworks and libraries are collections of pre-written code. Libraries are collections of components, classes, and methods that […]
