This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Smartphone cameras have evolved far beyond simple tools for capturing moments. Today, users want to frame an entire landscape during travel, then zoom in to clearly see the windows of a distant building. Whether shooting in […]
What Defines a True 200-Megapixel Experience? Read More +
This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a
This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. The full value of Machine Learning (ML) and Artificial Intelligence (AI) only emerges when the entire lifecycle of an application is taken into account. Yet many companies struggle to establish a sustainable and scalable operating model early enough
Successful Machine Learning Projects Shape the Entire Lifecycle Read More +
This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence systems often appear highly effective during development. Models achieve strong benchmark scores, validation metrics improve over time, and performance looks predictable within controlled environments. But once those same systems are deployed into real-world conditions, results frequently
Why Most AI Performance Metrics Break Down in Production Read More +
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. From the early days of the Internet of Things (IoT), connected devices have been highly effective at sensing and processing real-world inputs. But as AI workloads grow more demanding and real-time responsiveness becomes critical, the value is no
Powering Edge AI at Scale: Synaptics Astra SRW1500 Series Single-Chip AI MCU Read More +
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. An AI-driven gadget that acts on a drifting signal doesn’t know it’s wrong. It just acts—confidently, precisely, and in the wrong direction. Confidence without accuracy isn’t intelligence. It’s a liability. The gap between what a system is told
AI Goes Horizontal—Analog Goes Deep Read More +
There’s a significant gap between running an AI model on a server and deploying it effectively to constrained edge hardware in the field. A look at the optimization challenges most teams underestimate. This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Edge AI is
Edge AI Optimization: Why Performance at the Edge Is Harder Than It Looks. Read More +
This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. As semiconductor devices continue to scale down in size and ramp up in performance, one challenge stands out above many others: thermal behavior. Heat isn’t just a byproduct of activity in modern chips; it’s one of the pivotal
Thermal-Aware Testing Strategies for Next-Gen Semiconductor Devices Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In part 1 of this series, you explored why multi-robot autonomous mapping is becoming essential for large-scale facilities and what the core components of a modern multi-robot mapping system are. But knowing what a system should
How to Overcome Vision Challenges While Building a Multi-Robot Mapping System (Part 2) Read More +
As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Key takeaways Physical AI is reaching an inflection point as intelligence moves into real-world systems
Engineering Intelligence at the Physical Edge Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
