UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field ...
Robotics
May 21, 2015
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(Phys.org)—Over the past few decades, quantum effects have greatly improved many areas of information science, including computing, cryptography, and secure communication. More recently, research has suggested that quantum ...
A trio of researchers, two with Princeton University, the other the Max Planck Institute for Biological Cybernetics, has developed a reinforcement learning–based simulation that shows the human desire always to want more ...
(Phys.org)—Decision-making is typically thought of as something done by intelligent living things and, in modern times, computers. But over the past several years, researchers have demonstrated that physical objects such ...
Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore ...
Analytical Chemistry
May 19, 2023
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52
In the everyday world, we can perform measurements with nearly unlimited precision. But in the quantum world—the realm of atoms, electrons, photons, and other tiny particles—this becomes much harder. Every measurement ...
Quantum Physics
Nov 4, 2021
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526
They announced the Nobel prizes this week! But did any of the recipients teach an AI to play Street Fighter? Here are a few of this week's stories not yet lauded by international committees of scientists, but which we thought ...
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help ...
Molecular & Computational biology
Mar 28, 2019
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405
Can a machine be trained to paint like Jackson Pollock? More specifically, can 3D printing harness Pollock's distinctive techniques to quickly and accurately print complex shapes?
Soft Matter
Oct 31, 2023
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101
Reinforcement learning is a technique, common in computer science, in which a computer system learns how best to solve some problem through trial-and-error. Classic applications of reinforcement learning involve problems ...
Computer Sciences
Jun 3, 2013
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