Business Wire

Edge Impulse Integrates Microchip’s SAMA7G54 Microprocessor Into Its Platform to Easily Train Machine Learning Models

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...
Business Wire

Edge Impulse Unlocks Previously Inaccessible AI Capabilities for Any Edge Device with NVIDIA Omniverse and AI Platforms

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has released a new suite of tools ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
TMCnet

Keysight Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development

By leveraging AI/ML-driven modeling, Keysight enables semiconductor companies to accelerate innovation, reduce development ...
Electronic Design

Bigger Might Not Be Better When It Comes to AI on the Edge

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...
Forbes

From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
Analytics Insight

Best Edge AI Consumer Devices Launching in 2026

Overview: Edge AI devices prioritize local inference to ensure user data remains stored on the physical hardware instead of being transmitted to external server ...
Semiconductor Engineering

Deploying PyTorch Models On Edge Devices

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...
Electronic Design

Edge AI: Revolutionizing Real-Time Data Processing and Automation

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...
Nature

Lightweight machine learning models and edge computing applications

Artificial intelligence has become a crucial part of research and everyday life. The most powerful models require a large amount of data and energy for their training and development, and the ...
MarketWatch

Edge AI Market Research Report 2025 | Demand for Real-Time Data Transmission, IoT Devices and Industrial Robotics, & Advances in AI and ML Technologies Bolster Growth - Global ...

The global market for edge AI was valued at $8.7 billion in 2024 and is estimated to increase from $11.8 billion in 2025 to reach $56.8 billion by 2030, at a compound annual growth rate (CAGR) of 36.9 ...