Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: computing – Page 363

It can identify hidden objects with 96 percent accuracy.

MIT scientists have engineered an X-ray vision augmented reality headset that combines computer vision and wireless perception to automatically locate items that are hidden from view.

There is one catch though: the hidden items have to have been labeled with RFID tags.

MIT researchers have built an augmented reality headset that gives the wearer X-ray vision.

The headset combines computer vision and wireless perception to automatically locate a specific item that is hidden from view, perhaps inside a box or under a pile, and then guide the user to retrieve it.

The system utilizes radio frequency (RF) signals, which can pass through common materials like cardboard boxes, plastic containers, or wooden dividers, to find hidden items that have been labeled with RFID tags, which reflect signals sent by an RF antenna.

Continue reading “Augmented reality headset enables users to see hidden objects” | >

Rare diseases affect 6–8% of the world’s population and, although we know that small changes in the patient’s DNA are responsible for causing the majority of cases, most people wait several years before they are diagnosed and potentially treated. This hunt for an explanation is extremely distressing for the patients and their families, as well as costing healthcare systems large sums of money for medical investigations and treatments.

Background

Even for the simplest cases, where a single change in a patient’s DNA disrupts a gene and always causes the rare disease, identifying which change in the three billion base pairs in each of our genomes is a huge challenge. Prior to the completion of the human genome in 2003, we did not even know what the normal state of affairs was. Even then, the available sequencing technology limited us to only interrogating small parts of a patient’s genome, directed by intelligent guesswork, with mixed results.

Read more | >

Heat causes errors in the qubits that are the building blocks of a quantum computer, so quantum systems are typically kept inside refrigerators that keep the temperature just above absolute zero (−459 degrees Fahrenheit).

But quantum computers need to communicate with electronics outside the refrigerator, in a room-temperature environment. The metal cables that connect these electronics bring heat into the refrigerator, which has to work even harder and draw extra power to keep the system cold. Plus, more qubits require more cables, so the size of a quantum system is limited by how much heat the fridge can remove.

To overcome this challenge, an interdisciplinary team of MIT researchers has developed a that enables a quantum computer to send and receive data to and from electronics outside the refrigerator using high-speed .

Read more | >

Google scientists said Wednesday they have passed a major milestone in their quest to develop effective quantum computing, with a new study showing they reduced the rate of errors – long an obstacle for the much-hyped technology.

Quantum computing has been touted as a revolutionary advance that uses our growing scientific understanding of the subatomic world to create a machine with powers far beyond those of today’s conventional computers.

However, the technology remains largely theoretical, with many thorny problems still standing in the way – including stubbornly high error rates.

Read more | >

Google scientists said Wednesday they have passed a major milestone in their quest to develop effective quantum computing, with a new study showing they reduced the rate of errors—long an obstacle for the much-hyped technology.

Quantum computing has been touted as a revolutionary advance that uses our growing scientific understanding of the subatomic world to create a machine with powers far beyond those of today’s conventional computers.

However the technology remains largely theoretical, with many thorny problems still standing in the way—including stubbornly high error rates.

Read more | >

A new form of heterostructure of layered two-dimensional (2D) materials may enable quantum computing to overcome key barriers to its widespread application, according to an international team of researchers.

The researchers were led by a team that is part of the Penn State Center for Nanoscale Science (CNS), one of 19 Materials Research Science and Engineering Centers (MRSEC) in the United States funded by the National Science Foundation. Their work was published Feb. 13 in Nature Materials.

A regular computer consists of billions of transistors, known as bits, and are governed by binary code (“0” = off and “1” = on). A , also known as a qubit, is based on and can be both a “0” and a “1” at the same time. This is known as superposition and can enable quantum computers to be more powerful than the regular, classical computers.

Read more | >

Most existing COVID-19 tests “rely on the same principle, which is that you have accumulated a detectable amount of viral material, for example, in your nose,” says study lead author Frank Zhang, who worked on the project as a Flatiron research fellow at the Flatiron Institute’s Center for Computational Biology (CCB) in New York City. “That poses a challenge when it’s early in the infection time window and you haven’t accumulated a lot of viral material, or you’re asymptomatic.”

The new technique is instead based on how our bodies mount an when invaded by SARS-CoV-2, the virus that causes COVID-19. When the assault starts, specific genes turn on. Segments of those genes produce mRNA molecules that guide the building of proteins. The particular blend of those mRNA molecules changes the types of proteins produced, including proteins involved in virus-fighting functions. The new method can confidently identify when the body is mounting an immune response to the COVID-19 virus by measuring the relative abundance of the various mRNA molecules. The new study is the first to use such an approach to diagnose an infectious disease.

Read more | >