Self-Motivation
David Goggins
Former Navy Seal
Career Development
Bryan Cranston
Actor
Critical Thinking
Liv Boeree
International Poker Champion
Emotional Intelligence
Amaryllis Fox
Former CIA Clandestine Operative
Management
Chris Hadfield
Retired Canadian Astronaut & Author
Learn
from the world's big
thinkers
Start Learning

4 key questions to challenge your views on genetic engineering

New research shows how Americans feel about genetic engineering, human enhancement and automation.

Adobe stock.
  • A review of Pew Research studies reveals the views of Americans on the role of science in society.
  • 4 key questions were asked to gauge feelings on genetic engineering, automation and human enhancement.
  • Americans are split in how they view technology and many worry about its growing role.
Keep reading Show less

Microsoft Excel doesn’t have to be scary. This $29.99 training breaks it all down.

Get the absolute most out of what Excel can do with this incredible course and become a productivity master. Right now, it's 90% off the regular price.

  • The Complete Microsoft Excel and VBA Bundle offers full Excel 2019, 2016 and 2013 training.
  • The package also shows how to use VBA, Excel's key programming language.
  • The $300 package is on sale now for just $29.99.
Keep reading Show less

Why are so few people born on Christmas Day, New Year’s and other holidays?

Christmas Day is the least popular birthday in several countries.

Mario Tama/Getty Images

Christmas and New Year's are days of celebration in many parts of the world when people gather with family and friends. One thing many typically don't celebrate on those days is a birthday.

Keep reading Show less

You should be skeptical when it comes to hyped-up AI. Here’s why.

These questions can help us think more critically about new developments in artificial intelligence.

  • The media often exaggerate and overhype the latest discoveries in artificial intelligence.
  • It's important to add context to new findings by asking questions: Is there a demo available? How narrow was the task the computer performed?
  • A more robust approach to artificial intelligence involves solving problems in generalized situations rather than just laboratory demonstrations.
Keep reading Show less

The biggest problem in AI? Machines have no common sense.

Correlation doesn't equal causation — we all know this. Well, except robots.

  • There are a lot of people in the tech world who think that if we collect as much data possible, and run a lot of statistics, that we will be able to develop robots where artificial "intelligence" organically emerges.
  • However, many A.I.'s that currently exist aren't close to being "intelligent," it's difficult to even program common sense into them. The reason for this is because correlation doesn't always equal causation — robots that operate on correlation alone may have skewed algorithms in which to operate in the real world.
  • When it comes to performing simple tasks, such as opening a door, we currently don't know how to encode that information — the varied process that is sometimes required in differing situations, i.e. jiggling the key, turning the key just right — into a language that a computer can understand.

Gary Marcus is the author of Rebooting AI: Building Artificial Intelligence We Can Trust.

Quantcast