The last century alone has seen a meteoric increase in the accumulation of data and we are able to store unfathomable quantities of information to help us solve problems known and unknown.At some point the ability to optimally utilise these vast amounts of data will be beyond our reach, but not beyond that of the tools we have made.
“Machine learning is a catch-all term for systems that learn in an automated way from their environment.” According to her, machine learning is becoming increasingly important as more and more practical tasks are being solved by machine learning systems: “From weather prediction to drug discovery to self-driving cars.”
“This was conceived in the early forties! Modern networks have come a long way since then, with increasingly complex architectures creating large, layered models that are particularly effective at solving ‘human-like’ tasks, such as processing speech and language, or identifying what is happening in images.”
“By looking inside these tools, we aim to be better users of the tools as well. We typically apply the tools with industry partners, rather than on our own.” “There really is a digital revolution that is sweeping across every industry one can think of, and machine learning is a critical part of it.”