Computers used to mine Bitcoin and other cryptocurrencies’ require enormous amounts of energy and cooling that’s evaporating water supplies.
Researchers at the University of Sydney Nano Institute have invented a compact silicon semiconductor chip that integrates electronics with photonic, or light, components. The new technology significantly expands radio-frequency (RF) bandwidth and the ability to accurately control information flowing through the unit.
Expanded bandwidth means more information can flow through the chip and the inclusion of photonics allows for advanced filter controls, creating a versatile new semiconductor device.
Researchers expect the chip will have applications in advanced radar, satellite systems, wireless networks and the roll-out of 6G and 7G telecommunications and also open the door to advanced sovereign manufacturing. It could also assist in the creation of high-tech value-add factories at places like Western Sydney’s Aerotropolis precinct.
About 15% or $2.7 billion of Nvidia’s revenue for the quarter ended October came from Singapore, a U.S. Securities and Exchange Commission filing showed. Revenue coming from Singapore in the third quarter jumped 404.1% from the $562 million in revenue recorded in the same period a year ago. This outpaced Nvidia’s overall revenue growth of 205.5% from a year ago.
Singapore only trailed behind the U.S. (34.77%,) Taiwan (23.91%) and China including Hong Kong (22.24%) in Nvidia’s third-quarter sales rankings.
“I would highly think it’s due to data centers as Singapore has quite a lot of data centers and cloud service providers,” Maybank Securities analyst Jarick Seet told CNBC.
The Asian superpower has introduced its first homegrown Lower Power Double Data Rate 5 (LPDDR5) chip for smartphones.
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ChangXin Memory Technologies (CXMT) announced the LPDDR5 chip, a next-generation memory technology initially introduced by Samsung Electronics in 2018, in a press release.
The accelerator, an advanced wakefield laser accelerator, is under 20 feet long, generating a 10 billion electron-volt (10 GeV) electron beam.
Bjorn “Manuel” Hegelich, associate professor of physics at UT and CEO of TAU Systems, alluding to the size of the chamber where the beam was produced stated: “We can now reach those energies in 10 centimeters.”
Scientists are aiming to use this technology for assessing the resilience of space-bound electronics against radiation, capturing the 3D internal configurations of emerging semiconductor chip designs, and potentially pioneering new cancer treatments and advanced medical imaging methodologies.
Continue reading “Scientists make a laser accelerator with 10 billion electron-volt beam” »
By strategically straining materials that are as thin as a single layer of atoms, University of Rochester scientists have developed a new form of computing memory that is at once fast, dense, and low-power. The researchers outline their new hybrid resistive switches in a study published in Nature Electronics.
Developed in the lab of Stephen M. Wu, an assistant professor of electrical and computer engineering and of physics, the approach marries the best qualities of two existing forms of resistive switches used for memory: memristors and phase-change materials. Both forms have been explored for their advantages over today’s most prevalent forms of memory, including dynamic random access memory (DRAM) and flash memory, but they have their drawbacks.
Wu says that memristors, which apply voltage to a thin filament between two electrodes, tend to suffer from a relative lack of reliability compared to other forms of memory. Meanwhile, phase-change materials, which involve selectively melting a material into either an amorphous state or a crystalline state, require too much power.
Optical wireless may no longer have any obstacles. A study by Politecnico di Milano, conducted together with Scuola Superiore Sant’Anna in Pisa, the University of Glasgow and Stanford University, and published in Nature Photonics, has made it possible to create photonic chips that mathematically calculate the optimal shape of light to best pass through any environment, even one that is unknown or changing over time.
The problem is well known: light is sensitive to any form of obstacle, even very small ones. Think, for example, of how we see objects when looking through a frosted window or simply when our glasses get foggy. The effect is quite similar on a beam of light carrying data streams in optical wireless systems: the information, while still present, is completely distorted and extremely difficult to retrieve.
The devices developed in this research are small silicon chips that serve as smart transceivers: working in pairs, they can automatically and independently ‘calculate’ what shape a beam of light needs to be in order to pass through a generic environment with maximum efficiency. And that’s not all: they can also generate multiple overlapping beams, each with its own shape, and direct them without them interfering with each other; in this way, the transmission capacity is significantly increased, just as required by next-generation wireless systems.
“I think when you build a company from the ground up, and you’ve experienced real adversity, and you really experienced nearly going out of business several times, that feeling stays with you,” Huang said.
The fear of his chip empire tanking, Huang admitted, is a feeling he grapples with every morning when he wakes up.
“I don’t wake up proud and confident. I wake up worried and concerned,” Huang said as the audience laughed politely in response. “It just depends on which side of the bed you get out on.”
A speech prosthetic developed by a collaborative team of Duke neuroscientists, neurosurgeons, and engineers can translate a person’s brain signals into what they’re trying to say.
Appearing Nov. 6 in the journal Nature Communications, the new technology might one day help people unable to talk due to neurological disorders regain the ability to communicate through a brain-computer interface.
“There are many patients who suffer from debilitating motor disorders, like ALS (amyotrophic lateral sclerosis) or locked-in syndrome, that can impair their ability to speak,” said Gregory Cogan, Ph.D., a professor of neurology at Duke University’s School of Medicine and one of the lead researchers involved in the project. “But the current tools available to allow them to communicate are generally very slow and cumbersome.”
Quantum technologies are currently maturing at a breath-taking pace. These technologies exploit principles of quantum mechanics in suitably engineered systems, with bright prospects such as boosting computational efficiencies or communication security well beyond what is possible with devices based on today’s ‘classical’ technologies.
As with classical devices, however, to realize their full potential, quantum devices must be networked. In principle, this can be done using the fiber-optic networks employed for classical telecommunications. But practical implementation requires that the information encoded in quantum systems can be reliably stored at the frequencies used in telecom networks—a capability that has not yet been fully demonstrated.
Writing in Nature Communications, the group of Prof. Xiao-Song Ma at Nanjing University reports record-long quantum storage at telecom wavelengths on a platform that can be deployed in extended networks, paving the way for practical large-scale quantum networks.
