Archive for the ‘computing’ category: Page 6

Apr 9, 2023

New atomic-scale understanding of catalysis could unlock massive energy savings

Posted by in categories: chemistry, computing, food

In an advance they consider a breakthrough in computational chemistry research, University of Wisconsin–Madison chemical engineers have developed model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes—potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

Catalyst materials accelerate without undergoing changes themselves. They are critical for refining petroleum products and for manufacturing pharmaceuticals, plastics, food additives, fertilizers, green fuels, industrial chemicals and much more.

Scientists and engineers have spent decades fine-tuning catalytic reactions—yet because it’s currently impossible to directly observe those reactions at the and pressures often involved in industrial-scale catalysis, they haven’t known exactly what is taking place on the nano and atomic scales. This new research helps unravel that mystery with potentially major ramifications for industry.

Apr 8, 2023

Quantum computers can’t teleport things—yet

Posted by in categories: computing, cosmology, particle physics, quantum physics

Simulating a wormhole has long been a goal in quantum physics. But current quantum computers don’t have enough qubits to teleport particles.

Apr 7, 2023

Samsung cuts memory chip production as it hits worst quarterly profit since 2009

Posted by in categories: computing, futurism

Samsung Electronics plans to cut back memory chip production as its operating profit in the first quarter of 2023 is expected to plummet about 96% from the previous year. This will be the lowest profit posted by the South Korean tech giant since Q1 2009.

The global macroeconomic slowdown, memory chip oversupply and sluggish demand have hurt its profit, the world’s largest memory chip maker said in its preliminary earnings release on Friday.

“Samsung is adjusting to lower its memory production to a meaningful level,” it noted. Samsung claims to optimize line operations to secure enough memory chip volume for future demand. The tech company added that it will continue to invest in infrastructure and research and development to strengthen its tech leadership in the industry.

Apr 5, 2023

MIT scientists produce ‘ultrastable’ materials using new computing method

Posted by in categories: chemistry, computing, engineering

The resulting materials could be used for capturing greenhouse gases.

MIT researchers have used a computational model to identify about 10,000 possible metal-organic framework MOF structures that they classify as “ultrastable.” These states make them good candidates for applications such as converting methane gas to methanol.

“When people come up with hypothetical MOF materials, they don’t necessarily know beforehand how stable that material is,” said in a statement published on Tuesday Heather Kulik, an MIT associate professor of chemistry and chemical engineering and the senior author of the study.

Apr 4, 2023

Crystal impervious to radiation could be used in spaceship computers

Posted by in categories: computing, space travel

Putting two forms of semiconductor material called gallium oxide together seems to make it completely resistant to radiation.

By Alex Wilkins

Apr 4, 2023

Plastic transistor amplifies biochemical sensing signal

Posted by in categories: biotech/medical, chemistry, computing, health

The molecules in our bodies are in constant communication. Some of these molecules provide a biochemical fingerprint that could indicate how a wound is healing, whether or not a cancer treatment is working or that a virus has invaded the body. If we could sense these signals in real time with high sensitivity, then we might be able to recognize health problems faster and even monitor disease as it progresses.

Now Northwestern University researchers have developed a new technology that makes it easier to eavesdrop on our body’s inner conversations.

While the body’s chemical signals are incredibly faint—making them difficult to detect and analyze—the researchers have developed a new method that boosts signals by more than 1,000 times. Transistors, the building block of electronics, can boost weak signals to provide an amplified output. The new approach makes signals easier to detect without complex and bulky electronics.

Apr 4, 2023

A system that augments mixed reality visualizations using smartphones or tablets

Posted by in categories: augmented reality, computing, education, mobile phones

Mixed reality (MR) and Augmented Reality (AR) technologies merge the real world with computer-generated elements, allowing users to interact with their surroundings in more engaging ways. In recent years, these technologies have enhanced education and specialized training in numerous fields, helping trainees to test their skills or make better sense of abstract concepts and data.

Researchers at University of Calgary have been trying to develop interfaces and systems that could enhanced MR visualizations. In a paper set to be presented at CHI 2023 LBW, they introduced HoloTouch, a system that can augment mixed reality graphics and charts using smartphones as physical proxies.

“To me, this paper was inspired for the most part by a work that I published during my final undergraduate year,” Neil Chulpongsatorn, one of the researchers who carried out the study, told Tech Xplore “They both originated from my interest in mixed reality interactions for data representations.”

Apr 4, 2023

Connecting distant silicon qubits for scaling up quantum computers

Posted by in categories: computing, quantum physics

In a demonstration that promises to help scale up quantum computers based on tiny dots of silicon, RIKEN physicists have succeeded in connecting two qubits—the basic unit for quantum information—that are physically distant from one another.

Many big IT players—including the likes of IBM, Google and Microsoft—are racing to develop quantum computers, some of which have already demonstrated the ability to greatly outperform conventional computers for certain types of calculations. But one of the greatest challenges to developing commercially viable quantum computers is the ability to scale them up from a hundred or so qubits to millions of qubits.

In terms of technologies, one of the front-runners to achieve large-scale quantum computing is that are a few tens of nanometers in diameter. A key advantage is that they can be fabricated using existing silicon fabrication technology. But one hurdle is that, while it is straightforward to connect two quantum dots that are next to each other, it has proved difficult to link quantum dots that are far from each other.

Apr 3, 2023

Canon developing world-first ultra-high-sensitivity ILC equipped with SPAD sensor, supporting precise monitoring through clear color image capture of subjects several km away, even in darkness

Posted by in categories: computing, electronics

The first SPAD camera.

TOKYO, April 3, 2023—Canon Inc. announced today that the company is developing the MS-500, the world’s first1 ultra-high-sensitivity interchangeable-lens camera (ILC) equipped with a 1.0 inch Single Photon Avalanche Diode (SPAD) sensor2 featuring the world’s highest pixel count of 3.2 megapixels3. The camera leverages the special characteristics of SPAD sensors to achieve superb low-light performance while also utilizing broadcast lenses that feature high performance at telephoto-range focal lengths. Thanks to such advantages, the MS-500 is expected to be ideal for such applications as high-precision monitoring.

The MS-500

Apr 3, 2023

Is it possible to transfer human consciousness to a computer? Storage, time and space constraints boggle researchers

Posted by in categories: computing, neuroscience

We often imagine that human consciousness is as simple as input and output of electrical signals within a network of processing units — therefore comparable to a computer. Reality, however, is much more complicated. For starters, we don’t actually know how much information the human brain can hold.

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