Lifeboat Foundation

The biggest ever radio telescope just started construction, and is scheduled to begin science operations in 2027. It will be 50 times more sensitive than any previous observatory, and 10000 times faster at gathering data. It will study the so-called Dark Ages (just 380000 years after the Big Bang), as well as large-scale galactic structures, and could even look for signs of alien life.

This week, construction officially began on the Square Kilometre Array – set to become the largest and most sensitive radio telescope ever built – with first light scheduled for 2027.

The event produced a short-lived particle known as a W boson and proved a 60-year-old theory.

The scientists studied fermion masses which they are of the belief that can be communicated into the fifth dimension through portals, forming dark matter relics and ‘fermionic dark matter’ within the novel fifth dimension.

Researchers said in a statement to Vice, “We found that the new scalar field had an interesting, non-trivial behaviour along the extra dimension. If this heavy particle exists, it would necessarily connect the visible matter that we know and that we have studied in detail with the constituents of dark matter, assuming the dark matter is composed out of fundamental fermions, which live in the extra dimension.”

They refer to the particle as a potential messenger to the dark sector. But hypothesising is not as hard as actually looking for the particle. If you didn’t know, the Higgs Boson Particle which was discovered in 2012 and also rewarded the discoverer with a Nobel Prize, was first proposed sometime in 1964. It was only discovered after the construction of the Large Hadron Collider — world’s most powerful particle accelerator.

Astronomy is all about data. The universe is getting bigger and so too is the amount of information we have about it. But some of the biggest challenges of the next generation of astronomy lie in just how we’re going to study all the data we’re collecting.

To take on these challenges, astronomers are turning to machine learning and artificial intelligence (AI) to build new tools to rapidly search for the next big breakthroughs. Here are four ways AI is helping astronomers.

The PrintNightmare zero-day is being actively exploited.

Physics-informed machine learning might help verify microchips.

Physicists love recreating the world in software. A simulation lets you explore many versions of reality to find patterns or to test possibilities. But if you want one that’s realistic down to individual atoms and electrons, you run out of computing juice pretty quickly.

Machine-learning models can approximate detailed simulations, but often require lots of expensive training data. A new method shows that physicists can lend their expertise to machine-learning algorithms, helping them train on a few small simulations consisting of a few atoms, then predict the behavior of system with hundreds of atoms. In the future, similar techniques might even characterize microchips with billions of atoms, predicting failures before they occur.

Continue reading “Physicists Teach AI to Simulate Atomic Clusters” »

Featured Image Source: netvault.net.au.

SpaceX founder Elon Musk recently shared that the company is already providing Starlink Beta broadband internet service to over 69420 users globally out of over half-a-million customers who pre-ordered the internet service via Starlink.com. According to SpaceX President Gwynne Shotwell, the Starlink constellation is currently actively beaming its signal to users in 11 countries (now 12), including portions of the United States, Canada, United Kingdom, Germany, Belgium, France, Austria, Netherlands, Australia, and New Zealand. More European countries and regions in the United States will have coverage during the second half of 2021 and early 2022.

This week, SpaceX e-mailed potential customers in the European country of Denmark –“Starlink is now available in limited supply in Denmark!” the e-mail reads. “Users can expect to see data speeds vary from 50Mb/s to 150Mb/s [megabits per second] over the next several months as we enhance the Starlink system. There will also be brief periods of no connectivity at all,” SpaceX wrote in the e-mail. “As we launch more satellites, install more ground stations and improve our networking software, data speed, latency and uptime will improve dramatically.” To date, SpaceX has launched approximately 1740 internet-beaming Starlink satellites out of over 12000 that will be part of the global broadband constellation.

Municipalities regularly have to check for pollution in local waterways, often utilizing crews of workers in boats. The new Nixie system is intended to make things much quicker, simpler and ultimately cheaper, using a water-sampling drone instead.

Developed by New York-based startup Reign Maker, the hardware end of the setup consists of the pole-like Nixie Base sampling device, that has a docking mechanism at the top and a 500-ml (16.9-oz) water collection bottle in a lockable holder at the bottom. It’s designed to work with a client-supplied and-operated DJI Matrice 600 or Matrice 300 RTK multicopter drone – for an extra fee, Reign Maker will provide a pilot and drone.

In either scenario, the drone’s operator begins by hovering the copter over another shore-based worker, who attaches the Base to the undercarriage of the unmodified aircraft. Attaching it involves simply pulling down on a lever at the bottom of the Base to open its docking mechanism, making sure that the mechanism is properly engaged with the drone, then releasing the lever to close and secure it.

In a new patent from AMD, researchers have highlighted techniques for performing machine learning operations using one or more dedicated ML accelerator chiplets. The resulting device is called an Accelerated Processing Device or APD which can be used for both gaming and data center GPUs via different implementations. The method involves configuring a part of the chiplet memory as a cache while the other as directly accessible memory.

The sub-portion of the former is then used by the machine learning accelerators on the same chiplet to perform machine learning operations. The patent is very open-ended with respect to its uses, indicating possible use in CPUs, GPUs, or other caching devices, but the primary target appears to be GPUs with several thousand SIMD units.

One implementation of the APD is configured to accept commands via both graphics and compute pipelines from the command processor, showing the ability to both render graphics as well as compute-intensive workloads required by convolution networks. The APD contains several SIMDs capable of performing vector operations alongside limited scalar and SP tasks similar to existing AMD GPUs.