The Akida neuromorphic processor from BrainChip is a third-generation neural network designed to accelerate advanced AI at the edge. It is created after researching the neuronal architecture of the human brain. The Akida processor aims to accelerate neural networks such as recurrent neural networks (RNNs), deep neural networks (DNNs), convolutional neural networks (CNNs), and vision transformers (ViTs) in hardware. In their recently released video, BrainChip demonstrates how the Akida can be app

Why Intel is Beating Everyone in Artificial Intelligence - Intel Loihi 2

Dive into the future of computing with MCKV Institute of Engineering as we explore Neuromorphic Computing – one of the most promising emerging tech trends paving way for fascinating career opportunities! Join us in unravelling the potential of brain-inspired computing architectures and their revolutionary impact on technology. www.mckvie.edu.in #MCKVIE #TechTrends #NeuromorphicComputing | MCKV Institute of Engineering Original

AI Hardware Engineering—Building the Machines of Tomorrow AI hardware engineering focuses on designing processors, chips, and computing devices optimized for AI workloads. In the USA, engineers develop GPUs, TPUs, neuromorphic chips, and specialized AI hardware that powers autonomous systems, data centers, and edge devices. Top universities such as MIT, Stanford, UC Berkeley, Carnegie Mellon, and Georgia Tech offer programs in computer architecture, AI hardware design, VLSI, and embedded systems