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Category: biotech/medical – Page 1,452

SpaceX debuts converted Falcon Heavy booster on spectacular Italian satellite launch

For the first time, SpaceX has converted a flight-proven Falcon Heavy side core into a Falcon 9 booster and successfully launched the reborn rocket, carrying an Italian Earth observation satellite to orbit with one of the most visually spectacular Falcon launches in recent memory.

After a tortured campaign of four scrubbed or aborted launch attempts between January 27th and 30th, Falcon 9 finally lifted off from SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 pad at 6:11 pm EST (23:11 UTC) on Monday, January 31st. The converted Falcon Heavy booster performed perfectly on its first solo mission, successfully carrying a Falcon upper stage and Italy’s CSG-2 synthetic aperture radar (SAR) Earth observation satellite to an altitude of 70 km (~45 mi) and a velocity of ~1.7 km/s (Mach 5) – effectively the edge of space.

Thanks to near-perfect weather and the timing of the launch about 15 minutes after sunset, Falcon Heavy side core B1052’s first mission as a Falcon 9 booster wound up producing some of the best views of a SpaceX launch in the company’s history. As the rocket ascended, the sky continued to darken for local ground observers. It wasn’t long before Falcon 9’s shiny, white airframe ascended into direct sunlight, which created some extraordinary contrast against the darkening sky for tracking cameras near the launch site.

How putting humans into hibernation could help astronauts travel to Mars

Bear-like human hibernation could enable ambitious proposals for Mars.

On Monday, the European Space Agency published a report explaining how hibernation could help humanity get to Mars. The agency explained that when bears hibernate, they use fewer resources without letting their muscles and bones go to waste.

For a multi-month trip to Mars, it could help a crew complete their trip with reduced stress levels and fewer medical complications. Crew members would enter pods, administer a drug, and let the ship handle operations for most of the flight.

Elon Musk’s Neuralink is an Absolute Disaster, Neuralink former employees say

Elon Musk has always said that Neuralink, the company he created in 2016 to build brain-computer interfaces, would do amazing things: Eventually, he says, it aims to allow humans to interact seamlessly with advanced artificial intelligence through thought alone. Along the way, it would help to cure people with spinal cord injuries and brain disorders ranging from Parkinson’s to schizophrenia.

Now the company is approaching a key test: a human clinical trial of its brain-computer interface (BCI). In December, Musk told a conference audience that “we hope to have this in our first humans” in 2022. In January, the company posted a job listing for a clinical trial director, an indication that it may be on track to meet Musk’s suggested timeline.

Musk has put the startup under unrelenting pressure to meet unrealistic timelines, these former employees say. “There was this top-down dissatisfaction with the pace of progress even though we were moving at unprecedented speeds,” says one former member of Neuralink’s technical staff, who worked at the company in 2019. “Still Elon was not satisfied.” Multiple staffers say company policy, dictated by Musk, forbade employees from faulting outside suppliers or vendors for a delay; the person who managed that relationship had to take responsibility for missed deadlines, even those outside their control.

Adventures in Technophilosophy: On the Reality of Virtual Worlds

When I was ten years old, I discovered computers. My first machine was a PDP-10 mainframe system at the medical center where my father worked. I taught myself to write simple programs in the BASIC computer language. Like any ten-year-old, I was especially pleased to discover games on the computer. One game was simply labeled “ADVENT.” I opened it and saw:

You are standing at the end of a road before a small brick building. Around you is a forest. A small stream flows out of the building and down a gully.

I figured out that I could move around with commands like “go north” and “go south.” I entered the building and got food, water, keys, a lamp. I wandered outside and descended through a grate into a system of underground caves. Soon I was battling snakes, gathering treasures, and throwing axes at pesky attackers. The game used text only, no graphics, but it was easy to imagine the cave system stretching out below ground. I played for months, roaming farther and deeper, gradually mapping out the world.

Aspirin recall: There’s a poisoning risk with these recalled meds, so check your home now

Geri-Care issued a recall for some aspirin and acetaminophen bottles that are not child-resistant, posing a poisoning risk.

Aspirin and acetaminophen are over-the-counter drugs that countless people have in their medicine cabinets. Many people use them to alleviate pain and reduce fevers, and these drugs might be the first course of action when exhibiting such symptoms. That’s what makes them popular purchases with consumers. And that’s why buyers should pay extra close attention to recalls that involve aspirin and acetaminophen products.

A new recall action involves bottles of Geri-Care Pharmaceuticals aspirin and acetaminophen, as they pose a risk of poisoning to children who might get their hands on these common drugs.

Artificial intelligence system rapidly predicts how two proteins will attach

The machine-learning model could help scientists speed the development of new medicines.

This technique could help scientists better understand some biological processes that involve protein interactions, like DNA replication and repair; it could also speed up the process of developing new medicines.

“Deep learning is very good at capturing interactions between different proteins that are otherwise difficult for chemists or biologists to write experimentally. Some of these interactions are very complicated, and people haven’t found good ways to express them. This deep-learning model can learn these types of interactions from data,” says Octavian-Eugen Ganea, a postdoc in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and co-lead author of the paper.

Ganea’s co-lead author is Xinyuan Huang, a graduate student at ETH Zurich. MIT co-authors include Regina Barzilay, the School of Engineering Distinguished Professor for AI and Health in CSAIL, and Tommi Jaakkola, the Thomas Siebel Professor of Electrical Engineering in CSAIL and a member of the Institute for Data, Systems, and Society. The research will be presented at the International Conference on Learning Representations.

Machine-learning model could help scientists speed the development of new medicines.

AI nanny created by Chinese scientists to grow humans in robot wombs

The AI nanny is here! In a new feat for science, robots and AI can now be paired to optimise the creation of human life. In a Matrix-esque reality, robotics and artificial intelligence can now help to develop babies with algorithms and artificial wombs.

Reported by South China Morning Post, Chinese scientists in Suzhou have developed the new technology. However, there are worries surrounding the ethics of actually artificially growing human babies.