Lifeboat Foundation

Have you ever wanted to travel through time to see what your future self might be like?

The user engages with the tool in two ways: through introspection, when they consider their life and goals as they construct their future selves, and retrospection, when they contemplate whether the simulation reflects who they see themselves becoming, says Yin.

“You can imagine Future You as a story search space. You have a chance to hear how some of your experiences, which may still be emotionally charged for you now, could be metabolized over the course of time,” she says.

Continue reading “AI simulation gives people a glimpse of their potential future self” »

Kidneys are injured more often than any of the organs along the urinary tract from external trauma.

Tech group signs deal with Kairos Power to build up to 7 small facilities to meet its energy needs.

Laboratory testing has revealed that some negatively-doped, ‘n-type’ tunnel oxide passivated contact (TOPCon) and heterojunction (HJT) solar modules are susceptible to ultraviolet (UV) light-related damage and degradation. That could mean trouble down the line, if modules in the field begin to show UV-related performance loss. Manufacturers are implementing solutions at cell and module level.

Can we teach machines to think like humans?

Predicting the behavior of many interacting quantum particles is a complex task, but it’s essential for unlocking the potential of quantum computing in real-world applications. A team of researchers, led by EPFL, has developed a new method to compare quantum algorithms and identify the most challenging quantum problems to solve.

Quantum systems, from subatomic particles to complex molecules, hold the key to understanding the workings of the universe. However, modeling these systems quickly becomes overwhelming due to their immense complexity. It’s like trying to predict the behavior of a massive crowd where everyone constantly influences everyone else. When you replace the crowd with quantum particles, you encounter what’s known as the “quantum many-body problem.”

Quantum many-body problems involve predicting the behavior of numerous interacting quantum particles. Solving these problems could lead to major breakthroughs in fields like chemistry and materials science, and even accelerate the development of technologies like quantum computers.

Researchers have achieved a breakthrough in observing intrinsic magnetic structures in kagome lattices, which may significantly influence future quantum computing and superconductivity applications.

A research team led by Prof. Qingyou Lu from the Hefei Institutes of Physical Science at the Chinese Academy of Sciences, in collaboration with Prof. Yimin Xiong from Anhui University, has achieved a groundbreaking discovery. Using advanced techniques such as magnetic force microscopy (MFM), electron paramagnetic resonance spectroscopy, and micromagnetic simulations, they have made the first-ever observation of intrinsic magnetic structures within a kagome lattice.

These findings, published recently in Advanced Science, shed new light on the behavior of materials, which is largely determined by the interaction between their internal electrons and lattice structure. Kagome lattices, known for their unique properties like Dirac points and flat bands, display extraordinary phenomena such as topological magnetism and unconventional superconductivity. These lattices are of great interest because of their potential to unlock new insights into high-temperature superconductivity and quantum computing. Despite this, the intrinsic spin patterns that define these materials have remained elusive—until now.

The X-37B Orbital Test Vehicle (OTV) has been shrouded in mystery since its maiden flight in 2011.

Designed by Boeing and operated by the US Space Force (USSF), this remotely operated, reusable space plane is designed to operate in Low-Earth Orbit (LEO), 240 to 800 kilometers (150 to 500 miles) above the Earth, and test reusable vehicle technologies that support long-term space objectives.

On December 29th, 2023, the X-37B began its seventh mission (OTV-7) and has reportedly been conducting experiments on the effects of space radiation and testing Space Domain Awareness (SDA) technologies.

Google on Monday signed a deal to get electricity from small nuclear reactors to help power artificial intelligence.

The agreement to buy energy from reactors built by Kairos Power came just weeks after word that Three Mile Island, the site of America’s worst nuclear accident, will restart operations to provide energy to Microsoft.

“We believe that nuclear energy has a critical role to play in supporting our clean growth and helping to deliver on the progress of AI,” Google senior director of energy and climate said during a briefing.