category: Blogs – LPHP

category: Auto, Security & Edge 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

Introducing “The Architecture Speaks”
By Jade Alglave - 14 May, 2026 - Comments: 0

What are specifications used for? How do you use them? Are they intelligible? These questions are at the heart of the project that produces a new tool called "The Architecture Speaks". This is an experimental chatbot tool built on generative AI that aims to provide quick answers to complex questions about the Arm architecture. It also provides links to the Arm Architecture Reference Manual. Th... » read more

Structured Or Unstructured Meshes: What Works Best For Turbomachinery CFD
By Veena Parthan - 14 May, 2026 - Comments: 0

In computational fluid dynamics (CFD), meshing is a critical step for achieving reliable simulations, especially when combined with a robust solver strategy. As turbomachinery blade geometries become more intricate and design cycles shorten, traditional meshing approaches are often not enough. To keep pace, we must adopt advanced methodologies, and more importantly, quantify their impact on res... » read more

Harnessing Artificial Intelligence For Trusted IC Signoff
By Carey Robertson - 14 May, 2026 - Comments: 0

After years of behind-the-scenes work, artificial intelligence (AI) is now embedded throughout the technology world—from space exploration to everyday apps on our smartphones. There is a circular feedback loop in which we design more powerful computer chips to train AI models and use them; and then use those AI models to design even more powerful chips. The use of AI in the software used for ... » read more

Heterogeneous NPU Data Movement: What The Execution Flow Shows
By Steve Roddy - 14 Apr, 2026 - Comments: 0

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by modern AI models. This approach enables coverage across diverse workloads, but it also introduces a structural consequence: intermediate data must move between those engines. That movement consumes power, adds latency, and requires additional silicon resources, with effect... » read more

PCIe 8.0: Enabling The Next Generation Of High Bandwidth Systems
By Lou Ternullo - 09 Apr, 2026 - Comments: 0

As compute architectures evolve to support increasingly data‑intensive workloads, the role of high‑speed I/O has never been more critical. Artificial intelligence, high‑performance computing, hyperscale infrastructure, and advanced networking all depend on moving massive volumes of data efficiently, reliably, and at scale. The PCI‑SIG’s announcement of PCIe 8.0, which targets 256.0... » read more

Early HBM4 Validation Points The Way For Next Generation AI And HPC Systems
By Brett Murdock - 09 Apr, 2026 - Comments: 0

As AI and high‑performance computing systems continue to scale, memory bandwidth has emerged as a primary system‑level constraint. Larger models, higher compute density, and increasingly complex multi‑die designs are driving the need for memory interfaces that can deliver extreme bandwidth while operating within tight power and signal‑integrity margins. High‑Bandwidth Memory (HBM) has... » read more

The Coming Breakup Between AI And The Cloud
By Sharad Chole - 09 Apr, 2026 - Comments: 0

For a decade, cloud AI has felt inevitable. It powers our voice assistants, photo libraries, recommendation engines, and a growing list of “smart” features we barely notice anymore. Yet beneath the convenience is a fragile dependency: if your connection stutters, your intelligence does too.​ We rarely question this arrangement, but we should. As models grow larger and expectations grow... » read more

Power Integrity Without Blind Spots: A System Level Approach To 3D-ICs
By Muhammad Hassan - 09 Apr, 2026 - Comments: 0

Power delivery has become one of the defining challenges of next-generation semiconductor systems. As AI, high-performance computing, and data-centric workloads drive higher performance and tighter integration, traditional 2D SoC design approaches are reaching their limits. The industry’s shift toward 2.5D and 3D heterogeneous integration promises breakthroughs in performance and efficiency�... » 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

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