Edge Computing

Federated Learning Explained Simply

Having held Google (GOOG) shares since shortly after their IPO, we’ve always taken a “set it and forget it” approach to our investment in the company which acts as a gatekeeper to the world’s information. Lately though, we can’t help but notice Google is letting a minuscule number of employees dictate who they ought to be doing business […]

New Artificial Intelligence Chips Lean Toward the Edge

What a difference a year makes. Few companies had enjoyed the sort of bull run AI chipmaker Nvidia (NVDA) had been on, returning more than +1200% between June 2015 and June 2018, eventually hitting a market cap of about $175 billion by September 2018. Then everything went south – literally – as the market took […]

Is Machine to Machine Communication (M2M) Dead?

The Internet of Things or IoT is this notion that everything around us is connected and intelligent. Your coffee maker talks to the cloud which in turn tells it when to start brewing coffee based on when your alarm clock (which also talks to the cloud) is set. But what if your alarm clock just […]

5 Fog Computing Examples from Foghorn

We recently wrote an article about “fog computing” and how it is a simple concept that involves moving your computers closer to the sensors they are talking to. That’s it really. Whereas before we had sensors that talked to “the cloud“, it turns out that we don’t have sufficient bandwidth and/or connectivity that enable the responsive […]

Fog Computing vs. Cloud Computing vs. Edge Computing

The world of information technology is one where grandiose sounding names often mask just how simple the underlying technologies actually are. In a recent article, we demystified the term “cloud computing” by explaining it as a business model that leases applications on demand which are accessible via the internet. In the olden days this was called centralized […]