Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate ...
Analytical Chemistry
Jan 10, 2023
0
170
For the first time, big data and artificial intelligence are being used to model hidden patterns in nature—not just for one bird species, but for entire ecological communities across continents.
Plants & Animals
Oct 4, 2023
0
21
Artificial neurons for deeply intelligent machines – this is the new artificial intelligence (AI) revolution, led by Geoffrey Hinton and his team since 2012. That year, Hinton, an expert in cognitive science at the University ...
Machine learning & AI
Dec 11, 2018
0
86
In June, an IBM computing executive claimed quantum computers were entering the "utility" phase, in which high-tech experimental devices become useful. In September, Australia's Chief Scientist Cathy Foley went so far as ...
Quantum Physics
Oct 19, 2023
0
65
Do those who know more also know that they know more? And does a student's confidence level correlate to academic performance? These questions have long inspired researchers in the fields of decisionmaking and education to ...
Social Sciences
Apr 4, 2011
0
0
The term 'quantum materials' was introduced to highlight the exotic properties of unconventional superconductors, heavy-fermion systems (materials with unusual electronic and magnetic properties) and multifunctional oxides. ...
Quantum Physics
Sep 25, 2020
0
145
A sustainable route to green hydrogen production is becoming possible through the use of efficient electrocatalysts in research by Texas A&M University chemical engineering professor Dr. Abdoulaye Djire.
Materials Science
Oct 14, 2023
1
27
On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. Though these flights have been recorded for decades by the National Weather ...
Ecology
Aug 28, 2019
0
502
Scientists seeking to understand Earth's inner clockwork have deployed armies of sensors listening for signs of slips, rumbles, exhales and other disturbances emanating from the planet's deepest faults to its tallest volcanoes. ...
Earth Sciences
Mar 22, 2019
2
67
Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design.
Molecular & Computational biology
Sep 15, 2022
0
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