Sending atomic and nuclear clocks into the inner reaches of our solar system could help scientists find proof of elusive dark matter.
How accurate are our models of rotating neutron stars?
Comparing algorithms used to model spinning neutron stars, scientists hope to better understand the physics of the elementary particles that make them up.
Replicating learning in electronic devices
Researchers demonstrate learning behaviour in a solid-state device that is entirely controlled by electrical stimuli.
Robots in the workforce: How can we compete?
Researchers calculate the automation risk of almost 1000 existing occupations and provide alternatives based on skill set.
How is spacetime altered by entangled particles?
A new thought experiment explores the interface between quantum mechanics and general relativity using the transfer of information.
What can AI tell us about the early universe?
Using an artificial neural network and AI, researchers are developing a powerful computational tool to model particle physics following the Big Bang.
Becky Smethurst: “My hobby is my job, with a bit of extra stress”
Your “friendly neighborhood astrophysicist” Becky Smethurst is enthusiastically exploring the universe and educating us along the way.
Artificial intelligence could be promising alternative to animal models
Replacing animal testing with the ever-growing capabilities of AI and deep learning could help minimize the need for animals in scientific discovery.
Material found in paint may hold the key to a technological revolution
The waste chips of paint you strip off the walls might not be so useless afterall.
Are AI models explainable in a way that humans can understand them?
A reality-rooted perspective on “explainable AI” and what this means for the future of the field.