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An international team led by researchers at the University of Toronto has found a new RNA virus that they believe is hitching a ride with a common human parasite.

The virus, called Apocryptovirus odysseus, along with 18 others that are closely related to it, was discovered through a computational screen of human neuron data — an effort aimed at elucidating the connection between RNA viruses and neuroinflammatory disease. The virus is associated with severe inflammation in humans infected with the parasite Toxoplasma gondii, leading the team to hypothesize that it exacerbates toxoplasmosis disease.

“We discovered A. odysseus in human neurons using the open-science Serratus platform to search through more than 150,000 RNA viruses” said Purav Gupta, first author on the study, recent high school graduate and current undergraduate student at U of T’s Donnelly Centre for Cellular and Biomolecular Research. “Serratus identifies RNA viruses from public data by flagging an enzyme called RNA-dependent RNA polymerase, which facilitates replication of viral RNA. This enzyme allows the virus to reproduce itself and for the infection to spread.”

An international team of astronomers has performed follow-up observations of a nearby alien world known as TOI-1685 b. Results of the observations, published May 21 on the pre-print server arXiv, indicate that TOI-1685 b is a hot and rocky alien world with an Earth-like density.

The so-called “super-Earths” are planets more massive than Earth but not exceeding the mass of Neptune. Although the term “super-Earth” refers only to the mass of the planet, it is also used by astronomers to describe planets bigger than Earth but smaller than the so-called “mini-Neptunes” (with a radius between two to four Earth radii).

Discovered in 2021, TOI-1685 b is an ultra-short-period (USP) super-Earth orbiting an M-dwarf star about half the size and mass of the sun. The system is located some 122.5 light years away.

With generative AI models, researchers combined robotics data from different sources to help robots learn better. MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.

Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.

Existing robotic datasets vary widely in modality — some include color images while others are composed of tactile imprints, for instance. Data could also be collected in different domains, like simulation or human demos. And each dataset may capture a unique task and environment.

The company will allow sellers to ship directly to customers from China in an effort to compete with Shein and Temu.

Researchers have described some of the best-preserved three-dimensional trilobite fossils ever discovered. The fossils, which are more than 500 million years old, were collected in the High Atlas of Morocco and are being referred to by scientists as “Pompeii” trilobites due to their remarkable preservation in ash.

The paper, “Rapid volcanic ash entombment reveals the 3D anatomy of Cambrian trilobites,” was published in the journal, Science.

Continue reading “Most pristine trilobite fossils ever found shake up scientific understanding of the long extinct group” »

The next update to Tesla’s Full Self-Driving (Supervised) could arrive this weekend, as the long-awaited v12.4.2 is scheduled to enter an internal testing phase tomorrow.

Tesla first released version 12 of FSD in March, and it was a significant release because it was the first version that relied on end-to-end neural nets, instead of over 300,000 lines of hand-written code. With the switch, CEO Elon Musk said that each revision should result in significant improvements, saying that v12.4 should see a 5 to 10 times improvement in miles per intervention.

However, v12.4 was only released to a limited number of testers earlier this month, more than four weeks after Musk initially said it would be available, and it received a luke-warm response, with a number of bugs and erratic driving behaviours reported. As a result, it has yet to go to a wide release.

Is this the beginning of the age of bionic humans?

Astronauts on board the International Space Station were instructed to shelter inside their respective spacecraft after reports indicated pieces of a broken-up satellite were headed their way.

Specifically, the remains of a derelict spacecraft called Resurs-P 1, a Russian commercial Earth observation satellite that launched in June 2013, were spotted by space junk monitor LeoLabs.

“Early indications are that a non-operational Russian spacecraft, Resurs P1 (SATNO 39186), released a number of fragments between 13:05 UTC 26 June and 00:51 UTC 27 June,” Leolabs tweeted late Wednesday evening.

With this measurement, the Large Hadron Collider again demonstrated its ability to provide very high-precision measurements and bring new insights into an old mystery.

The CMS collaboration revealed a groundbreaking measurement of the electroweak mixing angle, confirming Standard Model predictions and addressing previous discrepancies with the most precise collider-based measurement to date. This achievement highlights the potential for precision physics in hadron colliders and prepares for more advanced studies at the High-Luminosity LHC.

Electroweak Mixing Measurement