Intel’s Loihi 2 – Next-Generation Neuromorphic Research Chip
Technology

Intel’s Loihi 2 – Next-Generation Neuromorphic Research Chip

The shift from offline training using labeled datasets in parallel computing to learn on-the-fly through neuron firing rules in Neuromorphic Computing has significantly aided the ever-increasing demand for artificial intelligence in a range of applications. Intel’s first-generation...

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Redefining Signal Processing with Air-T
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Redefining Signal Processing with Air-T

Artificial intelligence (AI) is an area of computer science that works towards creating machines that could make decisions, react, and interact just like a human would. To be considered AI a computer must be capable of recognizing speech, learn, plan, and solve problems. To do all this...

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Making AI Projects Become Easier With NVIDIA Jetson
ProductsTechnology

Making AI Projects Become Easier With NVIDIA Jetson

Hardware development boards became a key enabler for many of recent hardware projects. Such as Arduino and Raspberry Pi, these boards are great for beginners and hobbyists to kick start and bring ideas to reality. Artificial Intelligence and machine learning are the technologies of the...

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Intel Introduces Loihi – A Self Learning Processor That Mimics Brain Functions
ScienceTechnology

Intel Introduces Loihi – A Self Learning Processor That Mimics Brain Functions

Intel has developed a first-of-its-kind self-learning neuromorphic chip – codenamed Loihi. It mimics the animal brain functions by learning to operate based on various modes of feedback from the environment. Unlike convolutional neural network (CNN) and other deep learning processors,...

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Movidius Deep Learning USB Stick by Intel
IoTProductsUSB

Movidius Deep Learning USB Stick by Intel

Last week, Intel launched the Movidius Neural Compute Stick, which is a deep learning processor on a USB stick. This USB stick was not an Intel invention. In fact, Intel had acquired Movidius company that had produced last year the world’s first deep learning processor on a USB...

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