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Looking deep into the observable Universe – and hence, back to the earliest periods of time – is an immensely fascinating thing. In so doing, astronomers are able to see the earliest galaxies in the Universe and learn more about how they evolved over time. From this, they are not only able to see how large-scale structures (like galaxies and galaxy clusters) formed, but also the role played by dark matter.

Most recently, an international team of scientists used the Atacama Large Millimeter-submillimeter Array (ALMA) to observe the Universe when it was just 1.4 billion years old. What they observed was a “protocluster”, a series of 14 galaxies located 12.4 billion light-years away that were about to merge. This would result in the formation of a massive galaxy cluster, one of the largest objects in the known Universe.

The study which described their findings, titled “A massive core for a cluster of galaxies at a redshift of 4.3”, recently appeared in the journal Nature. The study was led by Tim Miller – an astronomer from Dalhousie University, Halifax, and Yale University – and included members from NASA’s Jet Propulsion Laboratory, the European Southern Observatory (ESO), Canada’s National Research Council, the Harvard-Smithsonian Center for Astrophysics, the National Radio Astronomy Observatory, and multiple universities and research institutions.

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Deepcric is a deep learning system for cricket. It looks at cricket video and does scene segmentation, scene classification, automatic commentary generation, targeted highlights generation, player identification, and player stats extraction.


Deep learning has been applied everywhere. From imagenet [1] to disease identification [2] to large-scale video classification [3] to text classification [4], there are barely any areas where people have not applied deep learning. But interestingly, there has been very little work in applying data science and deep learning to the game of cricket. This post is a detailed overview of my final year project at the FAST National University. We have developed a deep learning based system that is able to do many tasks in cricket in an automated way. Some of these tasks are:

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Transcript:

We are headed towards a post Singularity simulated future and everything points towards us becoming a simulated species and being able to upload our consciousness quantify our consciousness and put that into a simulation.

And I don’t necessarily think it’s us that may control it.

The concern for the future of humanity is becoming more imperative as exponential technology brings us to the brink of the most fragile time in human history. Existential risk is a matter that is necessary to contemplate proactively rather than in a reactionary state, especially if intentions are to ensure continuance into the far future; a sort of insurance for humanity. However, what is mankind really trying to do? It is commonly advised to begin with the end in mind, however, there doesn’t seem to be a legitimate end goal besides a desperate cling to survival. Living without a purpose is simply existing, which seems to be the current state of our species. What are we existing for?

If we are referring to the whole of mankind rather than the specific individual, it can be commonly agreed upon that we simply have no concrete conclusion for why we are even here; or why anything should exist at all. This is in part due to the fact that we don’t even seem to have a complete understanding of what the universe actually is; why things behave the way they do. The fact that this is unknown would, by definition, imply that the relevance of everything that we do is also currently unknown. Thus, the logical progression would begin with acquiring the information necessary to discover what this nature is that existence seems to abide by. Then we can assemble the right question pertaining to the reason behind this phenomenon that we refer to as the “universe.”

By starting with this end question in mind, we can identify to the best of our current knowledge, the information that would be necessary to know before answering it. Regardless if it seems possible or not, we must consider it necessary for the time being. This would likely result in a series of questions, pushing the boundaries of our scientific and philosophical capabilities. This process would certainly be subject to change as new breakthroughs advance our understanding of the universe. However, the fact of the matter remains; it would be the most efficient direction relative to our maximum capability.

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List. The Best Futurism Youtube Channels from thousands of Futurism Youtube Channels in our index using search and social metrics. We’ve carefully selected these youtubers because they are actively working to educate, inspire, and empower their audience with frequent updates and high-quality videos.

These Youtube Channels are ranked based on following criteria.

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In a few seconds flat, you’ve gone from a neatly-equipped office to a home cinema…all within the same four walls. Who needs more than one room?

This is the dream of those who work on “programmable matter.”

In his recent book about AI, Max Tegmark makes a distinction between three different levels of computational sophistication for organisms. Life 1.0 is single-celled organisms like bacteria; here, hardware is indistinguishable from software. The behavior of the bacteria is encoded into its DNA; it cannot learn new things.

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If you’re the type of person who sometimes wakes up at 3am and lies in bed trying to wrap your tiny mind around the achingly vast Universe and where it’s all headed, well, we have something for you (also, same).

This incredible (and incredibly long) infographic from 2015 just keeps going and going and going. Which makes sense, because we’re talking about the entire lifespan of the Universe, from the moment of the Big Bang to the ‘heat death’ of everything we know and love.

Created by Slovak graphic designer Martin Vargic, the Timeline of the Universe covers the past 13.8 billion years of space, and then plots out what’s likely to occur in the next 10 billion or so.

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