The Problem

Computers calculate – people cogitate, computers turn data into information, people turn information into knowledge to comprehend our world. It was a balance that worked for a long time, but…

The year 2020 is on track to produce 59 zetabytes of data. (59,000,000,000,000,000,000,000)—over 50 times the number of stars in the observable universe.

And still, the process that turns that data info practical knowledge takes place only in the human mind – one brain at a time.

The old balance has been lost.

While Big Data and Deep Learning techniques give some traction over this vast mass of data, experts agree they are far from providing a complete solution and have serious unintended consequences.

The machines that generate the data have no comprehension of the world.

“The crucial piece of science and technology we don’t have is how we get machines to build models of the world… The step beyond that is common sense, when machines have the same background knowledge as a person.” Yann LeCun, Director of AI at Facebook.

Data scientists don’t fully understand the neural networks they create to process the vast datasets.

“When it comes to neural networks, we don’t entirely know how they work, and what’s amazing is that we’re starting to build systems we can’t fully understand.” Jerome Pesenti VP of AI Facebook

Some algorithms have unintended consequences we can no longer ignore.

“These algorithms have brought out the worst in us. They’ve literally rewired our brains so that we’re detached from reality and immersed in tribalism.” Tim Kendall, former director of monetization at Facebook.

In the era of Big Data and Big Tech, do computers work for you? – or are you working for them?

Breakthroughs enabling computers to turn data into knowledge would reset the balance between digital machines and humans – forever in our favor.

They could learn through language as people do and would become thinking machines able to create and apply knowledge. They could no longer be called computers any more than humans are called computers just because we can do Arithmetic.

New Sapience has made these breakthroughs. Computers endowed with our (patented) cognitive core can turn incoming information into knowledge.

If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts: Bill Gates