Our tissue can serve as a “biophysical reservoir” for data processing, blurring the line between man and machine.
For a while now, there has been a problematic mystery at the heart of the standard cosmological model. Although all observations support the expanding Universe model, observations of the early period of the cosmos give a lower rate of acceleration than more local observations. We call it the Hubble tension problem, and we have no idea how to solve it. Naturally, there have been several proposed ideas: what if general relativity is wrong; what if dark matter doesn’t exist; what if the rate of time isn’t uniform; heck, what if the entire Universe rotates. So, let’s add a new idea to the pile: what if dark matter evolves?
While there have been several models proposing an evolving dark energy, the idea of evolving dark matter hasn’t been widely considered. The reason for this is twofold. First, the observations we have of dark matter are excellent. They point to the presence of some kind of material that doesn’t interact strongly with light. The only major weak point is that we haven’t observed dark matter particles directly. Second, the vast majority of folk opposed to dark matter focus on eliminating it altogether through things like modified gravity. They figure dark matter is fundamentally wrong, not something to be tweaked. That makes this new idea rather interesting.
In this work, the authors look at both evolving dark energy and evolving dark matter and argue that the latter is a much better fit to observational data. The first thing they note is that the two models are somewhat related. Since the evolution of the cosmos depends in part on the ratio of energy density to matter density, a model with constant dark matter and evolving dark energy will always appear similar to a model with evolving dark matter and constant dark energy.
W YouTube możesz cieszyć się filmami i muzyką, które lubisz, przesyłać oryginalne treści i udostępniać je swoim bliskim, znajomym i całemu światu.
Years after outsourcing marketing and customer service gigs to AI, the Swedish company Klarna is looking to hire its humans back.
A new memorandum has firmed up China and Russia’s intent to lead the construction of a new lunar base to be completed by 2036, as NASA talks about scaling back its own lunar ambitions.
Apple is making progress on a standard for brain implant devices that can help people with disabilities control devices such as iPhones with their thoughts. As reported in The Wall Street Journal, Apple has plans to release that standard to other developers later this year.
The company has partnered with Synchron, which has been working with other companies, including Amazon, on ways to make devices more accessible. Synchron makes an implant called a Stentrode that is implanted in a vein on the brain’s motor cortex. Once implanted, the Stentrode can read brain signals and translate that to movement on devices including iPhones, iPads and Apple’s Vision Pro VR headset.
As we saw last year, a patient with ALS testing the Synchron technology was able to navigate menus in the Vision Pro device and use it to experience the Swiss Alps in VR. The technology could become more widely available to people with paralysis. The company has a community portal for those interested in learning about future tests.
A new memorandum has firmed up China and Russia’s intent to lead the construction of a new lunar base to be completed by 2036, as NASA talks about scaling
People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the utmost importance, as they can boost the efficiency of devices and communications, making users less reliant on cloud data services and external storage devices.
Researchers at the Central China Institute of Artificial Intelligence, Peng Cheng Laboratory, Dalian University of Technology, the Chinese Academy of Sciences and University of Waterloo recently introduced LMCompress, a new data compression approach based on large language models (LLMs), such as the model underpinning the AI conversational platform ChatGPT.
Their proposed method, outlined in a paper published in Nature Machine Intelligence, was found to be significantly more powerful than classical data compression algorithms.
A new study suggests life may compute far faster — and deeper — than we ever imagined.
The material has 50% more tensile strength than steel with a strength-to-weight ratio that’s ten-times better.