As the CEO of an AI startup, I’m reading dozens of papers from the field of edge computing and machine learning every week. I thought it would be useful to share some of the papers that I found most interesting. If this catches up, I’ll make it a regular thing. Anyway, here are three papers … Read more
Using analog approaches for AI applications has long tickled the minds of computer scientists and engineers. After all, our brain is an analog computer — one that’s orders of magnitude more efficient than any digital computer ever built, — so why not try to replicate its workings in silicon? Recently, startups such as Mythic have … Read more
First introduced by Google in 2016, tensor processing units (TPUs) have since become an essential tool for many machine learning applications. But what exactly are TPUs? And how do they work? In this article, we’ll try to digest the complex topic of TPUs in a way that even a five-year-old could understand. So let’s get … Read more
As artificial intelligence (AI) and machine learning become more and more prevalent, the technology is starting to outpace the traditional processors that power our computers. This has led to the development of a new type of processors, known as AI chips. What is an AI chip? An AI chip is a computer chip that has … Read more
The world of tech is ripe with jargon and acronyms. Take “edge computing” vs “cloud computing”. Two buzzwords that get thrown around a lot, but what do they actually mean? Let’s try to find out, starting with their definitions. What is cloud computing? Cloud computing is a way of storing, accessing and processing data over … Read more
We’ve been getting a lot of questions about mobile edge computing lately, so we decided to come up with an FAQ that covers the basics. So, without further ado, What is Mobile Edge Computing? Mobile edge computing (MEC), now more correctly called “multi-access edge computing,” is a distributed network architecture that moves processing, storage and … Read more
In a nutshell, an AI accelerator is a purpose-built hardware component that speeds up processing of AI workloads such as computer vision, speech recognition, natural language processing, and so on. Recent years have seen a proliferation of such accelerators, driven partly by the need to improve real-time response times for AI inference at the edge, and … Read more
Fog computing and edge computing are two emerging computing models designed to overcome the bandwidth challenge associated with IoT and cloud architectures. In this article, we’ll compare the two to help you decide which one to choose. The Internet of Things (IoT) is disrupting the way we live and work. In 2020, the number of … Read more
As a society, we’re still trying to figure out what intelligent machines will mean for us. In this post, we’ll talk about the future of our relationship with AI and how it could impact us all. Butlers and partners In the future, will we have a robot butler to take out the trash? Will robots … Read more
Cloud. It’s such a comfy, cozy, familiar place. It’s where we store our pictures and music, backup our data, and watch cat videos on YouTube. It’s only natural that we’d want to use it for other things, like artificial intelligence. And why not? Data is the lifeblood of AI, and the cloud has a lot … Read more
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