Machine Learning
Machine Learning Could Improve Hurricane Prediction
Applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term hurricane forecasts. This approach could also help them issue timely warnings to communities in the path of these potentially deadly storms, report researchers. In a new study, the researchers used machine learning to remove certain groups …
Machine Learning Makes Building Rocket Engines Easier
Methods from scientific machine learning could address the challenges of testing the stability of rocket engines, researchers report. Time, cost, and safety prohibit testing the stability of a test rocket using a physical build “trial and error” approach. But even computational simulations are extremely time consuming. A single analysis of an entire SpaceX Merlin rocket …
How Special Relativity Can Help AI Predict The Future
An approach inspired by Einstein’s light cones lets AIs make better guesses about what will happen next. It could help predict the effects of drugs. Nobody knows what will happen in the future, but some guesses are a lot better than others. A kicked football will not reverse in midair and return to the kicker’s foot. …
Are There ‘Male’ And ‘Female’ Brains? Computers Can See A Distinction
How useful are the well-known and hotly contested categories of “male brain” and “female brain”? Among experts, nobody really questions that anatomical sex differences in the brain exist. But since the advent of brain science, the scientific community has been divided over how many differences there are, which ones have been definitively proven, how large …
Designing Artificial Brains Can Help Us Learn More About Real Ones
Despite billions of dollars spent and decades of research, computation in the human brain remains largely a mystery. Meanwhile, we have made great strides in the development of artificial neural networks, which are designed to loosely mimic how brains compute. We have learned a lot about the nature of neural computation from these artificial brains …
Artificial Intelligence Is A Totalitarian’s Dream – Here’s How To Take Power Back
Individualistic western societies are built on the idea that no one knows our thoughts, desires or joys better than we do. And so we put ourselves, rather than the government, in charge of our lives. We tend to agree with the philosopher Immanuel Kant’s claim that no one has the right to force their idea …
Data Systems That Learn To Be Better
Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated 175 trillion gigabytes. For a visual, if you stored that amount of data on DVDs, it would stack up tall enough to circle the Earth 222 times. One of the biggest challenges in computing is handling this …
Microsoft Build 2019 | Building Autonomous Systems with Machine Teaching
Microsoft Build 2019 | Building Autonomous Systems with Machine Teaching Session ID: THR3006 Building autonomous systems with traditional Machine Learning techniques is difficult. Machine Teaching is a new approach to building intelligence using deep reinforcement learning. Come to this session to learn how to use machine teaching to apply expert knowledge to create deep …
What Is Quantum Machine Learning And How Can It Help Us?
Artificial intelligence refers, among other things, to machines’ capacity to demonstrate some degree of what humans consider “intelligence”. This process is being driven by the rapid advancement of machine learning: getting machines to think for themselves rather than pre-programming them with an absolute concept. Take image recognition. Humans excel at this task, but it’s proved …
Machine Learning Is Important, But Some AIs Just Want To Have Fun
This video by the French computer programmer Damien Henry is a clever visual demonstration of machine learning – a term coined by the US computer scientist Arthur Samuel (1901-1990) to describe an algorithm that gives computers the ‘ability to learn without being explicitly programmed’. Using several videos recorded from windows during train rides, Henry trained an algorithm …