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 ...

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 ...

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, ...

UAS Dharwad's V-C P.L. Patil highlights AI and IoT's transformative impact on engineering and quality of life during ...

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, ...

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 ...

Noting a growing demand for artificial intelligence (AI) that can run on edge devices with microcontrollers (MCUs) and microprocessors (MPUs), NXP Semiconductors has unveiled tools to enable ...

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 ...

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

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.