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Archive for the ‘computing’ category: Page 141

Jan 10, 2024

Are Diamonds GaN’s Best Friend? Revolutionizing Transistor Technology

Posted by in categories: computing, internet, space

A research team at Osaka Metropolitan University has fabricated a gallium nitride (GaN) transistor using diamond, which of all natural materials has the highest thermal conductivity on earth, as a substrate, and they succeeded in increasing heat dissipation by more than 2X compared with conventional transistors. The transistor is expected to be useful not only in the fields of 5G communication base stations, weather radar, and satellite communications, but also in microwave heating and plasma processing.

Researchers at Osaka Metropolitan University are proving that diamonds are so much more than just a ‘girl’s best friend.’ Their groundbreaking research focuses on gallium nitride (GaN) transistors, which are high-power, high-frequency semiconductor devices used in mobile data and satellite communication systems.

With the increasing miniaturization of semiconductor devices, problems arise such as increases in power density and heat generation that can affect the performance, reliability, and lifetime of these devices.

Jan 10, 2024

Code archaeologist online unearths the origins of MS-DOS

Posted by in category: computing

Explore the digital archaeology of computing’s past with the unearthing of 86-DOS version 0.1-C, the oldest ancestor of MS-DOS

A code archaeologist has unearthed a treasure trove for tech historians: the oldest-known ancestor of Microsoft’s iconic MS-DOS.

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Jan 9, 2024

Spiking Nano-oscillators Provide New Insight into Quantum Materials and Advanced Computing

Posted by in categories: computing, nanotechnology, quantum physics

The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.

Jan 9, 2024

World’s 1st graphene semiconductor could power future quantum computers

Posted by in categories: computing, quantum physics

Scientists overcame a limitation in graphene to harness the material as a working semiconductor at terahertz frequencies with 10 times the mobility of silicon.

Jan 9, 2024

Chaos theory and the end of physics

Posted by in categories: computing, quantum physics

Although chaos theory can solve nearly anything that is unknown I basically think that in an infinite universe as made real from the infinite microchip that uses superfluid processing power is the real answer and we are off by factor of infinite parameters still.


When we look at scientific progress, especially in physics, it can seem like all the great discoveries lie behind us. Since the revolutions of Einstein’s theory of relativity and quantum mechanics, physicists have been struggling to find a way to make them fit together with little to no success. Tim Palmer argues that the answer to this stalemate lies in chaos theory.

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Jan 9, 2024

First functional semiconductor made from graphene

Posted by in categories: biotech/medical, computing, mobile phones, quantum physics

The first functional semiconductor made from graphene has been created at the Georgia Institute of Technology. This could enable smaller and faster electronic devices and may have applications for quantum computing.

Credit: Georgia Institute of Technology.

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Jan 9, 2024

Simplify Quantum Circuit Design with the Classiq Platform

Posted by in categories: computing, information science, quantum physics

Unleash the power of quantum computing with The Classiq Platform. Simplify circuit design, optimize algorithms, and access over 4,000 executed circuits for free. Join the quantum revolution today!

Jan 8, 2024

The Entropy of Time: The Clock Conundrum Limiting Quantum Computing’s Future

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

Quantum computing is becoming more accessible for performing calculations. However, research indicates that there are inherent limitations, particularly related to the quality of the clock utilized.

There are different ideas about how quantum computers could be built. But they all have one thing in common: you use a quantum physical system – for example, individual atoms – and change their state by exposing them to very specific forces for a specific time. However, this means that in order to be able to rely on the quantum computing operation delivering the correct result, you need a clock that is as precise as possible.

But here you run into problems: perfect time measurement is impossible. Every clock has two fundamental properties: a certain precision and a certain time resolution. The time resolution indicates how small the time intervals are that can be measured – i.e. how quickly the clock ticks. Precision tells you how much inaccuracy you have to expect with every single tick.

Jan 8, 2024

Overcoming ‘Noise’ Challenges: A Leap Forward in Quantum Computing

Posted by in categories: computing, encryption, finance, quantum physics

Over the past twenty years, many companies, including Google, Microsoft, and IBM, have invested in quantum computing development. Investors have contributed over $5 billion to this cause. The aim is to use quantum physics properties to process information in ways that traditional computers cannot. Quantum computing could impact various fields, including drug discovery, cryptography, finance, and supply-chain logistics. However, the excitement around this technology has led to a mix of claims, making it hard to gauge the actual progress.

The main challenge in developing quantum computers is managing the ‘noise’ that can interfere with these sensitive systems. Quantum systems can be disrupted by disturbances like stray photons from heat, random signals from nearby electronics, or physical vibrations. This noise can cause errors or stop a quantum computation. Regardless of the processor size or the technology’s potential uses, a quantum computer will not surpass a classical computer unless the noise is controlled.

For a while, researchers thought they might have to tolerate some noise in their quantum systems, at least temporarily. They looked for applications that could still work effectively with this constraint. However, recent theoretical and experimental advances suggest that the noise issue might soon be resolved. A mix of hardware and software strategies is showing potential for reducing and correcting quantum errors. Earl Campbell, vice president of quantum science at Riverlane, a UK-based quantum computing company, believes there is growing evidence to be hopeful about quantum computing’s future.

Jan 7, 2024

Qualcomm Expecting To “Flex” It’s Automotive Muscles In 2024

Posted by in categories: computing, neuroscience

Almost exactly one year ago at CES 2023, Qualcomm announced its Snapdragon Ride Flex system-on-chip (SoC) product family. As an expansion of the company’s Snapdragon Digital Chassis product portfolio, the new SoC family is meant to support advanced driver assistance systems (ADAS) as well as digital cockpit and infotainment applications spanning from entry level to premium vehicles. At the time, Qualcomm announced that the Ride Flex SoC was sampling with an expected start of production in early 2024. It’s now early 2024 and CES is about to kick off again. Tirias Research is expecting to hear an update on the product family next week. We anticipate the update will include, at the very least, some of the partners who will be bringing the Ride Flex SoCs to market in production volumes this year and into 2025. Given Qualcomm’s track record for hitting their estimated timelines, we felt that a re-cap of the product family is warranted leading up to next week’s anticipated update.

“Flex-ing” Resources to Support Mixed Criticality and Multiple Tiers

The Snapdragon Ride Flex is actually two monolithically integrated 4nm SoCs – a primary SoC and what Qualcomm are calling a Safety Island SoC. The primary SoC consists of a Kryo Gen 6 Arm v8.2 central processing unit (CPU) with integrated L3 cache, an Adreno 663 graphics processing unit (GPU), a Hexagon neural processing unit (NPU), a Spectra 690 image signal processing (ISP), two Adreno display processing units (DPUs) for multiple high-resolution display support and associated memory and I/O interconnects. This part of the SoC is Automotive Safety Integrity Level (ASIL) B certified. The Safety Island SoC, which is ASIL-D certified, consists of a multi-core real-time CPU with enhanced error managements support and isolated memory and peripherals. ASIL is a risk classification methodology established under ISO 26,262 from the International Organization for Standardization which defines functional safety for road vehicles.