Yesterday, LHCb presented results consistent with the presence of charm content in the proton.
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A transformative artificial intelligence (AI) tool called AlphaFold, which has been developed by Google’s sister company DeepMind in London, has predicted the structure of nearly the entire human proteome (the full complement of proteins expressed by an organism). In addition, the tool has predicted almost complete proteomes for various other organisms, ranging from mice and maize (corn) to the malaria parasite.
The more than 350000 protein structures, which are available through a public database, vary in their accuracy. But researchers say the resource — which is set to grow to 130 million structures by the end of the year — has the potential to revolutionize the life sciences.
CRISPR reached a big milestone this year by treating a disease inside the body—here’s what’s next for the technology.
“Killer Robots” may seem far fetched, but as @AlexGatopoulos explains, the use of autonomous machines and other military applications of artificial intelligence are a growing reality of modern warfare.
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Experimental facilities around the globe are facing a challenge: their instruments are becoming increasingly powerful, leading to a steady increase in the volume and complexity of the scientific data they collect. At the same time, these tools demand new, advanced algorithms to take advantage of these capabilities and enable ever-more intricate scientific questions to be asked—and answered. For example, the ALS-U project to upgrade the Advanced Light Source facility at Lawrence Berkeley National Laboratory (Berkeley Lab) will result in 100 times brighter soft X-ray light and feature superfast detectors that will lead to a vast increase in data-collection rates.
To make full use of modern instruments and facilities, researchers need new ways to decrease the amount of data required for scientific discovery and address data acquisition rates humans can no longer keep pace with. A promising route lies in an emerging field known as autonomous discovery, where algorithms learn from a comparatively little amount of input data and decide themselves on the next steps to take, allowing multi-dimensional parameter spaces to be explored more quickly, efficiently, and with minimal human intervention.
“More and more experimental fields are taking advantage of this new optimal and autonomous data acquisition because, when it comes down to it, it’s always about approximating some function, given noisy data,” said Marcus Noack, a research scientist in the Center for Advanced Mathematics for Energy Research Applications (CAMERA) at Berkeley Lab and lead author on a new paper on Gaussian processes for autonomous data acquisition published July 28 in Nature Reviews Physics. The paper is the culmination of a multi-year, multinational effort led by CAMERA to introduce innovative autonomous discovery techniques across a broad scientific community.
Synchron has beat rival Neuralink to human trials of its “implantable brain computer interface.”
The chip will be studied in six patients later this year as a possible aid for paralyzed people.
Elon Musk previously used Neuralink’s chip in a monkey, which then played video games with its mind.
He is absolutely correct. If anything he down played the danger.
In addition to fewer people being born than dying, it’s that, with life spans now far greater than ever before, the percentage of the population MOST in need of medical services will increase at the same time, with fewer doctors, fewer nurses, fewer researchers, and far more resources needed for all of it.
To put it in a more cinematic way, think less “Soylent Green” and more “I Am Legend”.
The future of NASA’s Space Launch System is in question after another contract win for SpaceX.
NASA has selected the SpaceX Falcon Heavy rocket to launch the Europa Clipper in 2024, putting the future of NASA’s own flagship rocket into question.
Scientists have picked up light from the other side of a black hole for the first ever time.
Such an observation might seem not just difficult but outright impossible, given black holes famously eat up any light that goes near them.
But the new study used an unusual effect where light “echoes” around the black hole, such that scientists can see it from the other side.
Adapters, dynamic pricing, and a big expansion.
Tesla CEO Elon Musk has always talked about opening up his company’s vast network of Supercharger charging stations to other EVs, but now he’s shared some details about how it might actually work.
