Sharper signals: how machine learning is cleaning up microscopy images
Published in Nature
Computers trained to reduce the noise in micrographs can now tackle fresh data by themselves.
Published in Nature
Computers trained to reduce the noise in micrographs can now tackle fresh data by themselves.
Published in Scientific Reports
We propose a regression algorithm that utilizes a learned dictionary optimized for sparse inference on a D-Wave quantum annealer. In this regression algorithm, we concatenate the independent and dependent variables as a combined vector, and encode the high-order correlations between them into a dictionary optimized for sparse reconstruction. On a t...
Published in Nature
AI can decide which papers are worth reading, and condenses them to make the literature more accessible.
Published in Nature
As revenues and research output soar in the field of AI, global competition between the United States, China and Europe heats up.
Published in Nature
A look at one of the most rapidly advancing and controversial topics in scientific research.
Published in Nature
From radio galaxies to robots, these trailblazers are at the forefront of AI advances.
Published in Nature
AI-generated summaries of three articles selected from a data set of 175 Springer Nature publications.
Published in Nature
To ensure that AI meets its potential as a transformative tool, it must be developed by a truly representative research community, say Tess Posner and Li Fei-Fei.
Published in Nature
A real-world application of reinforcement learning.
Published in Nature
Despite having a steep learning curve, the programming language offers speed and safety.