James Brown has brilliantly brought classic Lego computer bricks to life by outfitting them with a tiny OLED screen, processor, battery contacts and more.
Category: computing – Page 408
Nvidia’s Q2 2022 earnings revealed a dramatic dip in gaming revenue, but also some ideas on how to bring it back — including discounting its oversupply of GPUs.
With recent significant advances in brain implants, MailOnline talks to law professor Burkhard Schafer about how neurotechnologies could influence criminal trials in the future.
Physicists at the Max Planck Institute of Quantum Optics have managed to entangle more than a dozen photons efficiently and in a defined way. They are thus creating a basis for a new type of quantum computer. Their study is published in Nature.
The phenomena of the quantum world, which often seem bizarre from the perspective of the common everyday world, have long since found their way into technology. For example, entanglement: a quantum-physical connection between particles that links them in a strange way over arbitrarily long distances. It can be used, for example, in a quantum computer—a computing machine that, unlike a conventional computer, can perform numerous mathematical operations simultaneously. However, in order to use a quantum computer profitably, a large number of entangled particles must work together. They are the basic elements for calculations, so-called qubits.
“Photons, the particles of light, are particularly well suited for this because they are robust by nature and easy to manipulate,” says Philip Thomas, a doctoral student at the Max Planck Institute of Quantum Optics (MPQ) in Garching near Munich. Together with colleagues from the Quantum Dynamics Division led by Prof. Gerhard Rempe, he has now succeeded in taking an important step towards making photons usable for technological applications such as quantum computing: For the first time, the team generated up to 14 entangled photons in a defined way and with high efficiency.
3Brain.
This 3D chip will help to observe complex structures such as the human brain, according to a report published by Labiotech.eu on Tuesday.
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Electronic transistors, which act as miniature switches for controlling the flow of electrical current, underpin modern-day microelectronics and computers. State-of-the-art microprocessor chips contain several billion transistors that switch signals flowing in electrical wires and interconnects. With increasing data-processing speeds and shrinking chip sizes, however, wires and interconnects waste considerable energy as heat.
One alternative is to replace electrical interconnects with energy-efficient optical interconnects that carry data using light signals. However, a practical analogue of the transistor for optical interconnects does not yet exist. Hence, Vivek Krishnamurthy from the A*STAR Data Storage Institute and co-workers in Singapore and the United States are developing a practical ‘photonic transistor’ for optical interconnects that can control light signals in a similar manner to electronic transistors.
The researchers’ latest photonic transistor design is based on prevalent semiconductor technology and offers attractive attributes of high switching gain, low switching power and high operating speed.
Researchers from RIKEN in Japan have achieved a major step toward large-scale quantum computing by demonstrating error correction in a three-qubit silicon-based quantum computing system. This work, published in Nature, could pave the way toward the achievement of practical quantum computers.
Quantum computers are a hot area of research today, as they promise to make it possible to solve certain important problems that are intractable using conventional computers. They use a completely different architecture, using superimposition states found in quantum physics rather than the simple 1 or 0 binary bits used in conventional computers. However, because they are designed in a completely different way, they are very sensitive to environmental noise and other issues, such as decoherence, and require error correction to allow them to do precise calculations.
One important challenge today is choosing what systems can best act as “qubits”—the basic units used to make quantum calculations. Different candidate systems have their own strengths and weaknesses. Some of the popular systems today include superconducting circuits and ions, which have the advantage that some form of error correction has been demonstrated, allowing them to be put into actual use albeit on a small scale. Silicon-based quantum technology, which has only begun to be developed over the past decade, is known to have an advantage in that it utilizes a semiconductor nanostructure similar to what is commonly used to integrate billions of transistors in a small chip, and therefore could take advantage of current production technology.
Diseases such as Alzheimer’s and epilepsy will be easier to detect.
A 3D microchip made by a Swiss company will allow scientists to study the complexity of 3D cellular networks. This 3D chip will help to observe complex structures such as the human brain, according to a report published by Labiotech.eu.
Understanding how organs form and how their cells behave is essential to finding the causes and treatment for developmental disorders, as well as understanding certain diseases, said 3Brain.
A microchip that allows scientists to study the complexity of 3D cellular networks at unrivaled scale and precision has been added to 3Brain AG’s brain-on-chip portfolio.
In collaboration with Swiss precision manufacturing experts, CSEM, 3Brain AG made the announcement today (August 22).
The cell-electronic interface technology will also allow scientists to gain novel mechanistic insights into the inner workings of the most complex structure in the universe, the human brain.
It’s official: Apple has just sent out invites for its next hardware event. As expected, the company will share what it’s been working on for the past year on September 7th, with a live broadcast from Apple Park starting at 1PM ET. The invite features the words “Far out.” Make of that what you will.
The company is widely expected to announce four new iPhone models at the event. Leading up to today’s announcement, most reports have suggested the 2022 iPhone lineup will consist of a 6.1-inch iPhone 14, a 6.7-inch iPhone 14 Max, a 6.1-inch iPhone 14 Pro and a 6.7-inch iPhone 14 Pro Max. Apple reportedly won’t offer a new “mini” model this year due to lackluster sales of the iPhone 12 mini and iPhone 13 mini.
Enhancements on the standard iPhone 14 models reportedly include the addition of more RAM, longer-lasting batteries and a better selfie camera with autofocus. Meanwhile, the Pro models are expected to feature a new design that trades away Apple’s signature display notch for a Samsung-style hole-punch front camera cutout. Additionally, the Pro variants will reportedly feature a new 48-megapixel main camera and thinner display bezels. They’re also expected to be the only models to ship with Apple’s next-generation A16 chip.
Electronically accessible states in vanadium dioxide can be arbitrarily manipulated on short timescales and tracked beyond 10,000 s after excitation.