Nokia 6 Amazon Edition: A look at the ad-enhanced phone
The Nokia 6: Amazon Edition is here, right in time for Prime Day. Unfortunately, for me, the Prime Day deals…
Now with 100% fewer socks
Now with 100% fewer socks
The Nokia 6: Amazon Edition is here, right in time for Prime Day. Unfortunately, for me, the Prime Day deals…
Previously, I’ve covered both DNNs and voice assistants. Today, I look at a different use case for DNNs: generating source code from images. A tantalising proposition for sure, but it is ever so slightly hamstrung by the fact that DNNs do not understand what they are doing.
IBM’s Watson Speech-to-Text comes with a built-in profanity filter. Unfortunately, Dick Van Dyke, a name that is the bane of profanity filters everywhere, apparently, has ended up on the wrong side of the censoring wall once more.
Davey Alba at Wired muses that we are headed towards a “splinternet”: an internet that is different depending on the country of origin. There are two unfortunate realities to this. First, this is already true, in his own acknowledgement. Second, it is inevitable. What’s worrying isn’t that there are different internets; it’s that there’s a max-censored one.
A recent paper from Microsoft Research, Azure and John Hopkins University discusses the issues of troubles of grey failures. This is…
CoreOS recently commissioned a study to show the usage of containers in the clouds where they discuss how many enterprises are using Kubernetes, and how this is spearheading a move to hybrid clouds. Interesting, I thought, and take a look.
Deep Learning is the machine intelligence du jour, being peddled from the largest companies to the smallest startups. Google claims it’s backing their search, Niantic claims to be using it to sniff out cheaters, and Apple is, well, Apple-ish about it. If we cut away the buzz, what is it and why is it important?
Map shading is a very traditional art, and the tradition has been thus for more than a century: the light shines upon the earth from the northwest, something it can never and will never do in real life. Yet this looks natural to us. Why is this?