Intelligence at the Edge
20
Illusions and Reality
Ludwig Wittgenstein (1889–1951) is a 20th-century philosopher with
notable contributions to the field of language. His posthumous work
Philosophical Investigations (1953) argued that patterns of expressed
intentions were part of a broad game, a way of understanding the limits
of reality. This article will discuss AI Binarization, the process of dividing
data into two (2) groups and assigning one (1) out of two (2) values to
all the members of the same group. This allows engineers to filter out
patterns of intentions within the reality of a language composed of real-
time data.
Wittgenstein showed how data might be parsed into different results
based on context. A famous example to articulate this reality is the
following perceptual illusion. Depending on your brain's current context
you will "see" either a young girl or an old woman (Figure 1).
Figure 1: A famous perceptual illusion. What do you see first? Do you see both? How
is it that the same picture (data) can be interpreted two (2) different ways? (Source: "My
Wife and My Mother-in-Law" by William Ely Hill (1887–1962), Public Domain)
From Illusion
to Reality:
The Binarization
of AI
Paul Golata
This article will introduce readers to AI
binarization and briefly explain how binarized
neural networks (NNs) function. It will discuss
some of the key steps involved, their challenges,
and their benefits (memory, time, energy).
