Lifeboat Foundation

Researchers have confirmed that human brains are naturally wired to perform advanced calculations, similar to e a high-powered computer, to make sense of the world through a process known as Bayesian inference.

In a recent study published in Nature Communications.

<em>Nature Communications</em> is a peer-reviewed, open-access, multidisciplinary, scientific journal published by Nature Portfolio. It covers the natural sciences, including physics, biology, chemistry, medicine, and earth sciences. It began publishing in 2010 and has editorial offices in London, Berlin, New York City, and Shanghai.

According to supercomputer guru, even despite sanctions, China has more supercomputers than the US.

A supercomputer is faster, more expensive, and much bigger than your humble personal computer. They are used by scientists and researchers in tech companies and labs to test theories and models with intensive databases.

Keeping a tab on which is the fastest supercomputer in the world is the Top500 List, which comes out twice every year – in November and June. It is the most coveted and sought-after ranking of the top supercomputers in the world. However, over the years, the rankings have been affected due to sociopolitical factors.

After years of dedicated research and over 5 million supercomputer computing hours, a team has created the world’s first high-resolution 3D radiation hydrodynamics simulations for exotic supernovae. This work is reported in The Astrophysical Journal.

Ke-Jung Chen at Academia Sinica Institute of Astronomy and Astrophysics (ASIAA) in Taiwan, led an international team and used the powerful supercomputers from the Lawrence Berkeley National Laboratory and the National Astronomical Observatory of Japan to make the breakthrough.

Supernova explosions are the most spectacular endings for massive stars, as they conclude their life cycles in a self-destructive manner, instantaneously releasing brightness equivalent to billions of suns, illuminating the entire universe.

Morgan Stanley released a report Monday, predicting a semiconductor-driven hopeful outlook for Musk’s company.

Tesla’s shares were up 9.5 percent yesterday. But what drove them up?

The investment banking firm issued a research note that upgraded the Elon Musk-owned automotive company’s rating from ‘equalweight’ to ‘overweight’ with a price target of $400 from a prior price target of $250. An ‘overweight’ rating means that the analysts, in this case Morgan Stanley (MS), expects Tesla’s stock to outperform its industry in the market.

Continue reading “Tesla’s Dojo supercomputer could fuel a $500 billion jump” »

Morgan Stanley says Tesla stock may surge by $500 billion because of it’s Dojo Supercomputer, in lieu of robotaxis and network services.

Dojo can open up “new addressable markets,” just like AWS did for Amazon.com Inc., analysts led by Adam Jonas wrote in a note, upgrading the stock to overweight from equal-weight and raising its 12-month price target to a Street-high $400 per share from $250.

Shares of Tesla, which have already more than doubled this year, rose as much as 6.1% in US premarket trading Monday. The stock was on track to add about $46 billion in market value. Morgan Stanley is one of Musk’s key advisory firms, including on the $44 billion takeover of Twitter Inc., now known as X.

Continue reading “Tesla’s market value could surge by $500bn because of Dojo supercomputer” »

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.

Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.

“We developed an ‘out-of-memory’ implementation of the non-negative matrix factorization method that allows you to factorize larger data sets than previously possible on a given hardware,” said Ismael Boureima, a computational physicist at Los Alamos National Laboratory. Boureima is first author of the paper in The Journal of Supercomputing on the record-breaking algorithm.

Tesla’s (TSLA) stock is rising in pre-market trading on an optimistic new report about the automaker’s Dojo supercomputer coming from Morgan Stanley.

The firm massively increased its price target on Tesla’s stock because of it.

Dojo is Tesla’s own custom supercomputer platform built from the ground up for AI machine learning and, more specifically, for video training using the video data coming from its fleet of vehicles.

It is expected to deliver performance up to eight times faster than its predecessor.

The Los Alamos National Laboratory (LANL) is in the final stages of setting up a new supercomputer dubbed Crossroads that will allow it to test the US nuclear stockpile without major tests, a press release said. The system has been supplied by Hewlett Packard and installation began in June of this year.

The Department of Energy (DoE) has been tasked with the responsibility of ensuring that the US nuclear stockpile can be relied upon if and when it needs to be used. For this purpose, the federal agency does not actually test the warheads but carries out simulations to determine the storage, maintenance, and efficacy of the weapons.

In a recently published article featured on the cover of the Biophysical Journal, Dr. Rafael Bernardi, assistant professor of biophysics at the Department of Physics at Auburn University, and Dr. Marcelo Melo, a postdoctoral researcher in Dr. Bernardi’s group, shed light on the transformative capabilities of the next generation of supercomputers in reshaping the landscape of biophysics.

The researchers at Auburn delve into the harmonious fusion of computational modeling and experimental biophysics, providing a perspective for a future in which discoveries are made with unparalleled precision. Rather than being mere observers, today’s biophysicists, with the aid of advanced high-performance computing (HPC), are now trailblazers who can challenge longstanding biological assumptions, illuminate intricate details, and even create new proteins or design novel molecular circuits.

One of the most important aspects discussed in their perspective article is the new ability of computational biophysicists to simulate complex biological processes that range from the subatomic to whole-cell models, in extraordinary detail.