In a recent article, Lake et al.[1] examine what it means for a machine to learn
or think like a person. They argue that contemporary AI techniques are not
biologically plausible hence not scalable to the extent that will enable a
machine to learn...
The idea of Bloom Filter was conceived by Burton H. Bloom in 1970. In a
nutshell, Bloom filter is a space-efficient probabilistic data structure
normally used to check for set membership (i.e. Is element x in set S?). Bloom
filter offers incredible memory and...
Computer science is full of complex hard-to-understand algorithms.
Understandability of an algorithm - ability to explain an algorithm in simple
terms - is generally under appreciated. Often poor understandability of an
algorithm has a direct impact on practical real-world applications. In my
opinion, if we...
If we start thinking containers in terms of objects, it abstracts away the
low-level details but reveals higher-level patterns that are common to a variety
of applications and algorithms. A recent paper
[http://dl.acm.org/citation.cfm?id=3027059], published by Google Researchers
Brendan...
Setting and running Kubernetes on Amazon Web Services (AWS) is a very involved
process. AWS has decided to not implement Kubernetes as a Service but built
something of its own - Amazon EC2 Container Service (ECS). Hence, you need to
know and consider a lot...