The Cisco IoT Control Center has also grown from managing 20 million IoT devices in 2016, to more than 160 million connected devices today. Cisco’s IoT platform is largely the result of its $1.4 ...

Overview: IoT infrastructure platforms provide the backbone for device connectivity, data ingestion, real-time analytics, and secure management of vast IoT ecos ...

Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The IoT technology market grew from USD 444.47 billion in 2024 to USD 478.28 billion in 2025, and it is projected to reach USD 797.98 billion by 2032 with a CAGR of 7.58%. This ex ...

A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

In a world where connectivity and data reign supreme, the internet of things (IoT) has emerged as a groundbreaking technology that’s not just a buzzword, but a tangible reality with impressive ...

Established in 2011, Very Technology initially focused on software development and websites, eventually finding a niche in the Internet of Things (IoT). According to Daniel Fudge, director of data ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Among the most significant cybersecurity threats this year comes via the Internet of Things (IoT), and they are increasingly becoming more sophisticated and targeted. Proactive cybersecurity is needed ...