Data integration generally requires in-depth domain knowledge, a strong
understanding of data schemas and underlying relationships. This can be
time-consuming and bit challenging if you are dealing with hundreds of data
sources and thousands of event types (see my recent article on ELT architecture
[https:...
Can machine learning-based data structures i.e. learned data structures replace
traditional data structures? This is a question recently asked and explored by a
team of Google researchers led by Jeff Dean with a major focus on database
indexes. Jeff is a Google Senior Fellow...
In AI and machine learning, the future resembles the past and bias refers to
prior information. There has been a growing interest in identifying the harmful
biases in the machine learning. Often these harmful biases are just the
reflection or amplification of human biases which...
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...