Lifeboat Foundation

There is a legend that many hundreds of years ago—long before printing presses, computers, or telephones existed—a special method was used to remember significant events, such as land transfers, crucial agreements, or weddings. According to the legend, a child was chosen to witness the event and immediately thrown into a river. This extreme combination of events was believed to ensure that the child would never forget that specific event.

But why might such a method have worked? Although this historical method may seem extreme, our ancestors may have been onto something crucial: When an event is combined with a strong emotional reaction, it becomes easier to remember.

For a long time, researchers have been able to offer a specific explanation for why some events are stored in our long-term memory while others are not. However, learning and memory may not be as straightforward as once thought. New research from DANDRITE shows that experiences that are not directly relevant to a memory can still impact the strength of that memory, paving the way for the development of entirely new memory-focused learning tools.

Scientists at the University of Texas used a breakthrough laser recycling technique to turn plastic into computer components.

For centuries, we thought that the Universe was completely deterministic. But even if you know all the rules, you can’t get rid of chaos.

Metamaterials have recently garnered substantial research interest as they can be engineered to achieve materials properties not found in nature, thus presenting unique opportunities across various fields. In order to facilitate the rational design of metamaterials, computational methods have been widely employed, but not without numerous challenges yet to be addressed. This Focus highlights recent advancements, challenges, and opportunities in computational models for metamaterials design and manufacturing, as well as explores their potential promises in emerging information processors and computing technologies.

Prof Lee said, “Existing breakthrough studies in quantum advantage are limited to highly-specific tailored problems. Finding new applications for which quantum computers provide unique advantages is the central motivation of our work.”

“Our approach allows us to explore the intricate signatures of topological materials on quantum computers with a level of precision that was previously unattainable, even for hypothetical materials existing in four dimensions,” added Prof Lee.

Despite the limitations of current noisy intermediate-scale quantum (NISQ) devices, the team is able to measure topological state dynamics and protected mid-gap spectra of higher-order topological lattices with unprecedented accuracy, thanks to advanced in-house developed error mitigation techniques. This advance demonstrates the potential of current quantum technology to explore new frontiers in material engineering.

It’s not easy making green.

For years, scientists have fabricated small, high-quality lasers that generate red and blue light. However, the method they typically employ — injecting electric current into semiconductors — hasn’t worked as well in building tiny lasers that emit light at yellow and green wavelengths. Researchers refer to the dearth of stable, miniature lasers in this region of the visible-light spectrum as the “green gap.” Filling this gap opens new opportunities in underwater communications, medical treatments and more.

Compact laser diodes can emit infrared, red and blue wavelengths, but are highly inefficient at producing green and yellow wavelengths, a region known as the ‘green gap’. (Image: S. Kelley, NIST)

Neuralink assists second person ‘control cursor with mind’

Neuralink’s first patient says he’s given his brain-chip implant a name seven months after it was surgically implanted.

Noland Arbaugh, who is quadriplegic and became the first person to get the computer-controlling implant developed by Elon Musk’s brain-interface company, said Wednesday that he had named the device “Eve” and was working with it to improve himself in different ways.

A recent study led by University of Minnesota Twin Cities researchers provides fundamental insight into how light, electrons, and crystal vibrations interact in materials. The research has implications for developing on-chip architectures for quantum information processing, significantly reducing fabrication constraints, and thermal management.