What is Logical Representation in AI?
Logical representation provides machines with the capacity for representing their world and for logical reasoning
Logical representation provides machines with the capacity for representing their world and for logical reasoning
AI has the potential to unlock the secrets of life and help us solve life’s most enduring mysteries
Despite the concerns of world domination found in sci-fi, robots have the potential to augment human strengths, and enter environments that put human life at risk
While AI offers great potential for solving some of humanity’s greatest challenges, it brings with it a unique set of risks
Without an accurate and helpful representation of its environment, the AI simply has a collection of abstract data
Teaching our AIs to understand what we say and the meaning behind the words
Deep learning typically involves multiple layers of processing and uses algorithms inspired by the structure and function of the brain
Machine learning has made AI more flexible and adaptive, able to modify its behavior in response to its learning and the environment
The potential of AI to transform what we mean by intelligence was recognized during the earliest days of computing
The rapidly advancing field of AI is challenging our understanding of what it means for a machine to display human-like intelligence
The Ancient Greek myth of Talos tells of a giant made entirely of brass, crafted by Hephaestus, the master blacksmith god
For AI to successfully interact with, and learn from its environment, it must be able to ‘see’ what’s going on