Lifeboat Foundation

Whatever you are doing, whether it is driving a car, going for a jog, or even at your laziest, eating chips and watching TV on the couch, there is an entire suite of molecular machinery inside each of your cells hard at work. That machinery, far too small to see with the naked eye or even with many microscopes, creates energy for the cell, manufactures its proteins, makes copies of its DNA, and much more.

Among those pieces of machinery, and one of the most complex, is something known as the nuclear pore complex (NPC). The NPC, which is made of more than 1,000 individual proteins, is an incredibly discriminating gatekeeper for the cell’s nucleus, the membrane-bound region inside a cell that holds that cell’s genetic material. Anything going in or out of the nucleus has to pass through the NPC on its way.

Nuclear pores stud the surface of the cell’s nucleus, controlling what flows in and out of it. (Image: Valerie Altounian)

“When the Human Genome Project began in 1990, it had a projected budget of $3 billion. […] Now, one company claims to have achieved the major milestone of whole genome sequencing for just $100.”

Ultima Genomics, a biotech company based in California, has emerged from stealth mode with a new high-throughput, low-cost sequencing platform that it claims can deliver a $100 genome.

When the Human Genome Project began in 1990, it had a projected budget of $3 billion. Some researchers believed it would take centuries to map all 20,000+ genes and to determine the sequence of chemical base pairs making up DNA, though in the end it took 13 years. Since then, genome sequencing has undergone technology and cost improvements at a rate faster than Moore’s Law (a long-term trend in the computer industry that involves a doubling of performance every two years). What used to require billions of dollars and many years of work is now several orders of magnitude cheaper and possible in a matter of hours.

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University of Queensland scientists have cracked a problem that’s frustrated chemists and physicists for years, potentially leading to a new age of powerful, efficient, and environmentally friendly technologies.

Using quantum mechanics, Professor Ben Powell from UQ’s School of Mathematics and Physics has discovered a “recipe” which allows molecular switches to work at room temperature.

“Switches are materials that can shift between two or more states, such as on and off or 0 and 1, and are the basis of all digital technologies,” Professor Powell said. “This discovery paves the way for smaller and more powerful and energy efficient technologies. You can expect batteries will last longer and computers to run faster.”

Roswell Biotechnologies wants you to believe its new chip will revolutionize the detection of viruses, DNA, and more. But it still has to prove itself.

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Not only do quantum computers have the edge over classical computers on some tasks, but they are also exponentially faster, according to a new mathematical proof.

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A collection of 16 qubits has been organized in such a way that they may be able to operate any computation without error. It is an important step toward constructing quantum computers that outperform standard ones.

When completing any task, a quantum computer consisting of charged atoms can detect its own faults. Because conventional computers constantly detect and rectify their own flaws, quantum computers will need to do the same in order to fully outperform them. Nevertheless, quantum effects can cause errors to propagate rapidly through the qubits, or quantum bits, that comprise these devices.

Continue reading “How Can a Quantum Computer Catch its Own Errors in Calculations?” »

Single-molecule electronic devices, which use single molecules or molecular monolayers as their conductive channels, offer a new strategy to resolve the miniaturization and functionalization bottlenecks encountered by traditional semiconductor electronic devices. These devices have many inherent advantages, including adjustable electronic characteristics, ease of availability, functional diversity and so on.

To date, single-molecule devices with a variety of functions have been realized, including diodes, field-effect devices and optoelectronic devices. In addition to their important applications in the field of functional devices, single-molecule devices also provide a unique platform to explore the intrinsic properties of matters at the single-molecule level.

Regulating the electrical properties of single-molecule devices is still a key step to further advance the development of molecular electronics. To effectively adjust the molecular properties of the device, it is necessary to clarify the interactions between electron transport in single-molecule devices and external fields, such as external temperature, magnetic field, electric field, and light field. Among these fields, the use of light to adjust the electronic properties of single-molecule devices is one of the most important fields, known as “single-molecule optoelectronics.”

How Apple’s M2 chip builds on the M1 to take on Intel and AMD.

The M1 is a great chip. Essentially an “X” variant of the A14 chip, it takes the iPhone and iPad processor and doubles the high-performance CPU cores, GPU cores, and memory bandwidth. The M1 chip is so good it’s equally amazing for tablets and thin-and-light laptops as it is for desktops, easily outperforming any competing chip with similar power draw and offering similar performance to processors that use at least twice as much energy.

Now a year and a half later, and after delivering three more powerful variants of the M1 (M1 Pro, M1 Max, and M1 Ultra), it’s time for the next generation. Announced at WWDC and appearing first in the new MacBook Air and 13-inch MacBook Pro, the M2 is essentially the system-on-chip we predicted it would be: what the M1 is to the A14, the M2 is to the A15. It’s made of 20 billion transistors, 25 percent more than M1, and while it’s still built using a 5nm manufacturing process, it’s a new enhanced “second-generation” 5nm process.

Continue reading “How Apple’s M2 chip builds on the M1 with small but meaningful upgrades” »

To capture the information that a brain contains, you need to cut it into billions and billions of slices.