Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

AI is entering a new era – one where processing can be performed at the Edge and is no longer confined to a data centre.

Today, we are witnessing the exponential growth IoT is experiencing. Every second, 127 devices are getting connected with an expected forecast for 43 billion IoT devices by 2027. As this market grows ...

The University of Science has revealed it has developed a binarised neural network (BNN) scheme using ternary gradients to address the computational challenges of internet of things (IoT) edge devices ...

The Internet of Things edge refers to the part of an IoT architecture that is closest to the end devices or sensors that collect data. In simple terms, it is the point where devices and data meet.

The landscape of computing is undergoing a profound transformation, with Artificial Intelligence (AI) at its forefront. This shift is particularly evident at the device edge, where traditional ...

As more tech enterprises look for easier ways to optimize their solutions and reduce running costs, there is a growing demand for edge computing. Computing on the edge help to facilitate the ...

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. There is no avoiding the hype around AI. While the focus ...

(a) Structure of the proposed neural network, which uses three-valued gradients during backpropagation (training) rather than real numbers, thus minimizing computational complexity. (b) A novel ...