Page not found
Search results
-
Automating big-data analysis
... papers. “[Data scientists want to know], ‘Why don’t you show me the top 10 things that I can do the best, and then I’ll dig ... a prediction problem,” he says. “The reason I think that people did that is they knew that the label-segment-featurize process takes six ...
-
Tackling hard computational problems
... Computer scientists have long recognized that you can’t create a fast algorithm that can, in all cases, efficiently solve problems ... challenging, hand-picked problem conceivable.” In fact, people normally encounter problems under more random, less contrived ...
-
Seeking the cellular mechanisms of disease, with help from machine learning
... she spent a year gaining classroom experience — and didn’t discriminate by subject. “I taught Latin, German, math, and biology,” she ... says Uhler. “I was excited to find a place with so many people working in my field. Here, everyone wants to discuss research. It’s ...
-
First-ever Climate Grand Challenges recognizes 27 finalists
... advancement of cutting-edge technologies. “We don’t have the luxury of time in responding to the intensifying climate crisis,” ... the solutions will have tangible effects, changing the way people live and work. Examples of these new approaches range from developing ...
-
Researchers create a tool for accurately simulating complex systems
... assumed that trace data are exogenous, meaning they aren’t affected by factors that are changed during the simulation. They would assume ... of doing simulation can induce errors. But I don’t think people necessarily knew how significant those errors could be,” he says. ...
-
A method for designing neural networks optimally suited for certain tasks
... through the new analysis, are unconventional and haven’t been considered before, the researchers say. In a paper published this ... out that, if you take the standard activation functions that people use in practice, and keep increasing the depth of the network, it gives ...
-
3 Questions: Anuradha Annaswamy on building smart infrastructures
... Theory shows that if you can use pricing as an incentive, people are much more loss-averse so they would be willing to walk a bit extra ... smart grid that can account for the fact that the sun isn’t always shining and wind isn’t always blowing. These uncertainties are the ...
-
Data diversity
... with every addition or deletion. But the algorithm doesn’t necessarily perform the operation it selects. Again, the decision to ... problem. But this model previously hasn’t been practical. People came up with all kinds of approximations for the problem, but none of ...
-
A faster way to teach a robot
... now, the way we train these robots, when they fail, we don’t really know why. So you would just throw up your hands and say, ‘OK, I ... users. They first conducted a study in which they asked people if counterfactual explanations helped them identify elements that could ...
-
System trains driverless cars in simulation before they hit the road
... tough to collect data in these edge cases that humans don’t experience on the road,” says first author Alexander Amini, a PhD student ... motion of the pixels to capture the movement of the cars and people, and other moving objects, in the scene. “This is equivalent to ...