Aug 27, 2021
Planet Nine: Scientists map its likely location
Posted by Quinn Sena in category: space
Planet Nine, according to scientists, has an orbit that lies more than 300 AU from the sun and is tilted.
Planet Nine, according to scientists, has an orbit that lies more than 300 AU from the sun and is tilted.
Square CEO Jack Dorsey has high hopes for digital asset and aspiring currency bitcoin.
“My hope is that it creates world peace or helps create world peace,” Dorsey said during a “The B Word” webinar on Wednesday.
“We have all these monopolies off balance and the individual doesn’t have power and the amount of cost and distraction that comes from our monetary system today is real and it takes away attention from the bigger problems,” Dorsey added. Tesla CEO Elon Musk and ARK Invest founder, CEO and CIO Cathie Wood were also speakers on the panel.
While it is always proper to treat the idea of “inevitability” or the promise of utopia with skepticism, it would also be irresponsible to ignore what is fast becoming an undeniable trend. From all outward appearances, technological change is an anthropogenic trend subject to acceleration, and the speed at which changes are coming is reaching a critical point.
Reality check
Continue reading “How Technological Singularity Could End Death and Make Humans Immortal” »
A new hydrogel could help improve the treatment of damaged cartilage in knees and other joints. The unique properties of the gel, which provides a scaffold for cartilage cells to grow on, allow it to be implanted via keyhole surgery.
“We will start human trials soon,” says Qiuning Lin at the Shanghai Jiao Tong University in China.
Oh, the ways armed forces around the world are working to blast uncrewed aerial vehicles they don’t like. Now the US Army is at that again, putting the finishing touches on a laser weapon that can not only destroy the innards of drones as they fly, but also drop incoming artillery as well.
The Army says it will be mounting the first four field versions of the DE M-SHORAD system on armored vehicles sometime next year, and has added the program to its expanding range of weapons against uncrewed aerial vehicles (UAV) being developed.
Managing your AI and machine learning pipelines starts with data sourcing, data curation, and data annotation.
After successful completion of its final tests, NASA
Established in 1,958 the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. It’s vision is “To discover and expand knowledge for the benefit of humanity.”
Using nature against nature.
While no one enjoys seeing carefully nurtured crops destroyed by hordes of hungry insects, the most common way to prevent it – the use of insecticides – is causing massive ecological problems.
An international research team with participants from several universities including the FAU has proposed a standardized registry for artificial intelligence (AI) work in biomedicine to improve the reproducibility of results and create trust in the use of AI algorithms in biomedical research and, in the future, in everyday clinical practice. The scientists presented their proposal in the journal Nature Methods.
In the last decades, new technologies have made it possible to develop a wide variety of systems that can generate huge amounts of biomedical data, for example in cancer research. At the same time, completely new possibilities have developed for examining and evaluating this data using artificial intelligence methods. AI algorithms in intensive care units, e.g., can predict circulatory failure at an early stage based on large amounts of data from several monitoring systems by processing a lot of complex information from different sources at the same time, which is far beyond human capabilities.
This great potential of AI systems leads to an unmanageable number of biomedical AI applications. Unfortunately, the corresponding reports and publications do not always adhere to best practices or provide only incomplete information about the algorithms used or the origin of the data. This makes assessment and comprehensive comparisons of AI models difficult. The decisions of AIs are not always comprehensible to humans and results are seldomly fully reproducible. This situation is untenable, especially in clinical research, where trust in AI models and transparent research reports are crucial to increase the acceptance of AI algorithms and to develop improved AI methods for basic biomedical research.