When researchers simulated the exhaust from a Falcon 9 rocket launch, they found that it releases high concentrations of CO2 in the upper atmosphere.
Teslas are among the most susceptible vehicles to be hacked due to their Bluetooth locks, cybersecurity firm NCC Group said. The cars can be remotely unlocked and controlled by hackers that can exploit a vulnerability in the Bluetooth system’s security, the group said.
NCC Group researcher Sultan Qasim Khan was shown in a video opening, then driving a Tesla using a small relay device attached to a laptop. The device bridged a large gap between the Tesla and the Tesla owner’s phone, Reuters said.
“This proves that any product relying on a trusted BLE connection is vulnerable to attacks even from the other side of the world,” NCC said in a statement. BLE means Bluetooth Low Energy, and is a technology utilized in vehicles and Bluetooth locks that will automatically unlock or unlatch when an authorized device is nearby. While it is a convenience feature, it is not immune to attacks, which was the point of NCC’s experiment.
The reason the Falcon Heavy hasn’t flown in about 3 years is that the Falcon 9 ended up having about twice the capacity that was planned for and so the Falcon 9 took away many missions from the Falcon Heavy. (There will finally be some more Falcon Heavy missions later this year…)
Anyway, SpaceX has again increased the capacity of the Falcon 9. They have changed certain timings during flight like igniting the MVac engine a few seconds earlier than on other missions and are separating the fairing closer to stage separation to shed dead weight earlier in the flight.
Additionally, SpaceX is loading propellants on the rocket at slightly lower temperatures than usual in order to pack more of them into the tanks and increase the amount of Starlink satellites the Falcon 9 can put into orbit.
Every time a new cancer drug is announced, it represents hundreds of researchers spending years behind the scenes working to design and test a new molecule. The drug has to be not only effective, but also as safe as possible and easy to manufacture—and these researchers have to choose among thousands of possible options for its chemical structure.
But building each possible molecular structure for testing is a laborious process, even if researchers simply want to change a single carbon atom.
A new technique published by University of Chicago chemists and the pharmaceutical company Merck & Co. in the journal Science offers a way to leapfrog that process, allowing scientists to quickly and easily produce new molecules of interest.
In biological evolution, we know that it’s all about the survival of the fittest: organisms that develop genetic traits that allow them to better adapt to their physical environment are more likely to thrive, and thus pass down their winning genes to their offspring.
From the longer-beaked Galapagos Island finches studied by biologist Charles Darwin that enabled them to more effectively snatch insects, to the ability of some humans over others to digest milk, the process of natural selection results in genetic differences that give some organisms an edge over others.
New research by University of Toronto Mississauga biology assistant professor Alex N. Nguyen Ba adds an important dimension to our understanding of how genes interact in the evolutionary process.
A group of 60 scientists called for a moratorium on solar geoengineering last month, including technologies such as stratospheric aerosol injection (SAI). This involves a fleet of aeroplanes releasing aerosol particles – which reflect sunlight back to outer space – into the atmosphere, cooling down the Earth.
SAI might make the sky slightly whiter. But this is the least of our concerns. SAI could pose grave dangers, potentially worse than the warming it seeks to remedy. To understand the risks, we’ve undertaken a risk assessment of this controversial technology.
A cooler Earth means less water would be evaporating from its surfaces into the atmosphere, changing rainfall patterns. This could produce ripple effects across the world’s ecosystems – but the exact nature of these effects depends on how SAI is used. Poor coordination of aerosol release could lead to extreme rainfall in some places and blistering drought in others, further triggering the spread of diseases.
Raptor one “only” had 185 tons. SpaceX engineers are pushing boundaries 💯 Check out the full webcast with the Starship update via the link in our bio. Credit @spacex #spacex #space #raptor2 #raptor #starship #mars
A team of NASA scientists has spotted strange flashes of light known as “transient luminous events” (TLEs) in the upper atmosphere of Jupiter.
Events like these have never been observed on another world until now — though here on Earth, scientists have observed similar flashes of light that occur far above lightning storms here on Earth, triggered by discharges of electricity in the upper atmosphere.
For a while, astronomers have theorized their existence in Jupiter’s massive, turbulent atmosphere. Thanks to new data collected by the ultraviolet spectrograph instrument (UVS) attached to NASA’s Juno spacecraft, a small space probe that’s been orbiting the gas giant since 2016, the team was finally able to confirm their presence, as detailed in a new paper published in the Journal of Geophysical Research: Planets.
New Gato AI is ‘generalist agent’ that can carry out a huge range of complex tasks, from stacking blocks to writing poetry.
Human-level artificial intelligence is close to finally being achieved, according to a lead researcher at Google’s DeepMind AI division.
Dr Nando de Freitas said “the game is over” in the decades-long quest to realise artificial general intelligence (AGI) after DeepMind unveiled an AI system capable of completing a wide range of complex tasks, from stacking blocks to writing poetry.
Described as a “generalist agent”, DeepMind’s new Gato AI needs to just be scaled up in order to create an AI capable of rivalling human intelligence, Dr de Freitas said.
No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit greenhouse gases while waiting for the light to change.
What if motorists could time their trips so they arrive at the intersection when the light is green? While that might be just a lucky break for a human driver, it could be achieved more consistently by an autonomous vehicle that uses artificial intelligence to control its speed.
In a new study, MIT researchers demonstrate a machine-learning approach that can learn to control a fleet of autonomous vehicles as they approach and travel through a signalized intersection in a way that keeps traffic flowing smoothly.