#SmartDevices

Staff Augmentation, Dedicated Teams, or Outsourcing: Choosing the Right Model for Embedded AI and Smart Device Projects

Building smart devices? Discover the differences between hiring dedicated teams and outsourcing as well as how choosing the right one can accelerate time market.

#AI #EdgeComputing #SmartDevices

The 5 Decisions That Make or Break an Edge Device Before It Ships

At embedUR, we’ve helped turn plenty of Edge device prototypes into field-ready products. We’ve also seen where projects go wrong. These five decisions come up every time.

#AI #SmartDevices #StrategicPartnerships

Warehouses Without Idle Time: Beating Human Unload Throughput with Edge AI

While rarely on the balance sheets, idle time is the silent tax e-commerce pays before the first pallet even shifts; costing employers in the US a whopping $100 billion each year.

#AI #SmartDevices #TinyML

Tips for Optimizing AI Models for Tiny Devices

Complex AI model performance can be computationally and energy intensive. Learn powerful optimization strategies to make your AI models smaller, faster, and more efficient.

#AI #SmartDevices #StrategicPartnerships

How Sustainable are YOUR AI Products?

Discover the carbon cost of AI convenience and what steps we can take to create more sustainable Edge AI products and applications

#AI #SmartDevices #TinyML

The Rat Race to MVP in Edge AI: Top 5 Bottlenecks in Edge AI Workflows & How to Overcome Them

Discover the top 5 pitfalls that derail AI-powered solutions, automation, and adoption to different industries and how you can avoid each one.

#AI #SmartDevices #TinyML

Optimizing TinyML with Neural Architecture Search: A Practical Guide for Edge AI

Deploying AI onto microcontrollers—known as TinyML—is akin to packing a symphony orchestra inside a wristwatch. Could Neural Architecture Search be the key to achieving this mammoth feat?

#AI #AugmentedReality #SmartDevices

Talking Without Borders: The Rise of Real-Time AI Translation at the Edge

Discover how Edge AI is transforming communications in 2025 by powering real-time translation, fostering global connections, and boosting customer satisfaction for businesses.

#AI #SmartDevices

Why Building Smart Devices Feels So Hard

Building any smart device can be a pain. Discover how ModelNova refines and retrains AI models, making it easier to go from rough draft to production candidate.

#AI #SmartDevices

Digital Twins & Edge AI: Powering Real-Time Operational Intelligence

Discover how digital twin and AI technologies are revolutionizing industries with groundbreaking use cases and the future potential of AI-powered digital replicas

Staff Augmentation, Dedicated Teams, or Outsourcing: Choosing the Right Model for Embedded AI and Smart Device Projects

The 5 Decisions That Make or Break an Edge Device Before It Ships

Warehouses Without Idle Time: Beating Human Unload Throughput with Edge AI

Tips for Optimizing AI Models for Tiny Devices

How Sustainable are YOUR AI Products?

The Rat Race to MVP in Edge AI: Top 5 Bottlenecks in Edge AI Workflows & How to Overcome Them

Optimizing TinyML with Neural Architecture Search: A Practical Guide for Edge AI

Talking Without Borders: The Rise of Real-Time AI Translation at the Edge

Why Building Smart Devices Feels So Hard

Digital Twins & Edge AI: Powering Real-Time Operational Intelligence

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