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Searching for life in alien oceans may be more difficult than scientists previously thought, even when we can sample these extraterrestrial waters directly.

A new study focusing on Enceladus, a moon of Saturn that sprays its ocean water into space through cracks in its icy surface, shows that the physics of alien oceans could prevent evidence of deep-sea life from reaching places where we can detect it.

Published today (Thursday, 6 February 2025) in Communications Earth and Environment, the study shows how Enceladus’s ocean forms distinct layers that dramatically slow the movement of material from the ocean floor to the surface.

Since their invention, traditional computers have almost always relied on semiconductor chips that use binary “bits” of information represented as strings of 1’s and 0’s. While these chips have become increasingly powerful and simultaneously smaller, there is a physical limit to the amount of information that can be stored on this hardware. Quantum computers, by comparison, utilize “qubits” (quantum bits) to exploit the strange properties exhibited by subatomic particles, often at extremely cold temperatures.

Two qubits can hold four values at any given time, with more qubits translating to an exponential increase in calculating capabilities. This allows a quantum computer to process information at speeds and scales that make today’s supercomputers seem almost antiquated. Last December, for example, Google unveiled an experimental quantum computer system that researchers say takes just five minutes to finish a calculation that would take most supercomputers over 10 septillion years to complete—longer than the age of the universe as we understand it.

But Google’s Quantum Processing Unit (QPU) is based on different technology than Microsoft’s Majorana 1 design, detailed in a paper published on February 19 in the journal Nature. The result of over 17 years of design and research, Majorana 1 relies on what the company calls “topological qubits” through the creation of topological superconductivity, a state of matter previously conceptualized but never documented.

Neural technologies are adopting bio-inspired designs to enhance biointegration and functionality. This review maps the growing field of bio-inspired electronics and discusses recent developments in tissue-like bioelectronics, from soft interfaces to ‘biohybrid’ and ‘all-living’ platforms.

Researchers have engineered groups of robots that behave as smart materials with tunable shape and strength, mimicking living systems. “We’ve figured out a way for robots to behave more like a material,” said Matthew Devlin, a former doctoral researcher in the lab of University of California, Santa Barbara (USCB) mechanical engineering professor Elliot Hawkes, and the lead author of the article published in the journal Science.

Composed of individual, disk-shaped that look like small hockey pucks, the members of the collective are programmed to assemble themselves together into various forms with different material strengths.

One challenge of particular interest to the research team was creating a robotic material that could both be stiff and strong, yet be able to flow when a new form is needed. “Robotic materials should be able to take a shape and hold it” Hawkes explained, “but also able to selectively flow themselves into a new shape.” However, when robots are strongly held to each other in a group, it was not possible to reconfigure the group in a way that can flow and change shape at will. Until now.

It’s barely been two years since OpenAI’s ChatGPT was released for public use, inviting anyone on the internet to collaborate with an artificial mind on anything from poetry to school assignments to letters to their landlord.

Today, the famous large language model (LLM) is just one of several leading programs that appear convincingly human in their responses to basic queries.

That uncanny resemblance may extend further than intended, with researchers from Israel now finding LLMs suffer a form of cognitive decline that increases with age just as we do.