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SpaceX is about to double the size of its fleet of Crew Dragon spaceships. The company is debuting a new spacecraft for a NASA launch later this month, and is building a fourth human-rated capsule that should be ready for flight early next year, a SpaceX official said Wednesday.

Sarah Walker, director of SpaceX’s Dragon mission management office, confirmed Wednesday the company is readying a fourth Crew Dragon spacecraft for an inaugural flight next year. SpaceX and NASA officials previously announced that the next NASA crew mission, known as Crew-3, scheduled for liftoff Oct. 30 will use a new vehicle.

“It’s really exciting to introduce another Crew Dragon to our fleet to support our human spaceflight manifest,” Walker said. “We’ve got another one in the production line now. It should be ready in the spring to support more human spaceflight missions.”

Rocket Lab USA Incsoared higher in after-hours trading Wednesday, following an announcement that the company has been chosen to fly an experimental solar sail into space.

NASA signed on with Rocket Lab RKLB, +10.43% to demonstrate the U.S. agency’s Advanced Composite Solar Sail System, or ACS3. The solar sail will be launched into space to demonstrate the efficacy of a technology that could be an alternative to satellites for specific duties.

Four futurists and longevity leaders: Liz Parrish, José Cordeiro, Aubrey de Gray and David Wood, took the stage to discuss whether science and technology is heading us to the end of human death.

The discussion took place on october 6 2021, during the celebration of the event South Summit Innovation is Business that took place in Madrid from october 5 to 07.

The discussion dealt around the question “Are We Reaching the End of Human Death?”

José Cordeiro served as the host of the conversation.

DNA contains the genetic information that influences everything from eye color to illness and disorder susceptibility. Genes, which are around 20,000 pieces of DNA in the human body, perform various vital tasks in our cells. Despite this, these genes comprise up less than 2% of the genome. The remaining base pairs in the genome are referred to as “non-coding.” They include less well-understood instructions on when and where genes should be created or expressed in the human body.

DeepMind, in collaboration with their Alphabet colleagues at Calico, introduces Enformer, a neural network architecture that accurately predicts gene expression from DNA sequences.

Earlier studies on gene expression used convolutional neural networks as key building blocks. However, their accuracy and usefulness have been hampered by problems in modeling the influence of distal enhancers on gene expression. The proposed new method is based on Basenji2, a program that can predict regulatory activity from DNA sequences of up to 40,000 base pairs.

Lmao 😆


Half of the chain’s office employees will be frying chicken fingers, working cash registers, and, of course, helping with recruiting.

However, it’s unclear if Raising Cane’s is also planning to raise its wages as well — something more and more US employers are resorting to as they face the reality that minimum wage just isn’t enough to survive in America.

The company, based out of Louisiana, has 530 locations. It’s facing a massive uphill battle, with plans to hire 10,000 new restaurant workers within the next 50 days, according to Bloomberg.

Most important, the encoded logical qubit performed better than the physical ones on which it depends, at least in some ways. For example, the researchers succeeded in preparing either the logical 0 or the logical 1 state 99.67% of the time—better than the 99.54% for the individual qubits. “This is really the first time that the quality of the [logical] qubit is better than the components that encode it,” says Monroe, who is cofounder of IonQ, a company developing ion-based quantum computers.

However, Egan notes, the encoded qubit did not outshine the individual ions in every way. Instead, he says, the real advance is in demonstrating fault tolerance, which means the error-correcting machinery works in a way that doesn’t introduce more errors than it corrects. “Fault tolerance is really the design principle that prevents errors from spreading,” says Egan, now at IonQ.

Martinis questions that use of the term, however. To claim true fault-tolerant error correction, he says, researchers must do two other things. They must show that the errors in a logical qubit get exponentially smaller as the number of physical qubits increases. And they must show they can measure the ancillary qubits repeatedly to maintain the logical qubit, he says.