It’s one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It’s quite another to physically show it’s possible.
Category: computing – Page 198
Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map
A collaborative effort between Harvard and Google has led to a breakthrough in brain science, producing an extensive 3D map of a tiny segment of human brain, revealing complex neural interactions and laying the groundwork for mapping an entire mouse brain.
A cubic millimeter of brain tissue may not sound like much. But considering that tiny square contains 57,000 cells, 230 millimeters of blood vessels, and 150 million synapses, all amounting to 1,400 terabytes of data, Harvard and Google researchers have just accomplished something enormous.
A Harvard team led by Jeff Lichtman, the Jeremy R. Knowles Professor of Molecular and Cellular Biology and newly appointed dean of science, has co-created with Google researchers the largest synaptic-resolution, 3D reconstruction of a piece of human brain to date, showing in vivid detail each cell and its web of neural connections in a piece of human temporal cortex about half the size of a rice grain.
Revolutionizing Photonics: Lithium Tantalate Powers Next-Gen Optical Circuits
New photonic integrated circuit technology based on lithium tantalate improves cost-efficiency and scalability, making significant advancements in optical communications and computing.
Optical communications and computing systems have been revolutionized by the rapid advancement in photonic integrated circuits (PICs), which combine multiple optical devices and functionalities on a single chip.
For decades, silicon-based PICs have dominated the field due to their cost-effectiveness and their integration with existing semiconductor manufacturing technologies, despite their limitations with regard to their electro-optical modulation bandwidth. Nevertheless, silicon-on-insulator optical transceiver chips were successfully commercialized, driving information traffic through millions of glass fibers in modern data centers.
Lithium tantalate offers cheap, more efficient photonic chips: Study
Researhcesr from EPFL and SIMIT have managed to develop a new lithium tantalate chip that could reduce costs and improve performance of PICs.
Microcapacitors with ultrahigh energy and power density could power chips of the future
In the ongoing quest to make electronic devices ever smaller and more energy efficient, researchers want to bring energy storage directly onto microchips, reducing the losses incurred when power is transported between various device components. To be effective, on-chip energy storage must be able to store a large amount of energy in a very small space and deliver it quickly when needed—requirements that can’t be met with existing technologies.
Scientists Imaged and Mapped a Tiny Piece of Human Brain. Here’s What They Found
Researchers have made a digital map showing a tiny chunk of a human brain in unprecedented detail.
Based on a brain tissue sample that had been surgically removed from a person, the map represents a cubic millimeter of brain—an area about half the size of a grain of rice. But even that tiny segment is overflowing with 1.4 million gigabytes of information—containing about 57,000 cells, 230 millimeters of blood vessels and 150 million synapses, the connections between neurons.
The researchers published their findings in the journal Science on Friday. They have made the data set freely available online and provided tools for analyzing and proofreading it.
Quantum computing takes a giant leap with breakthrough discovery • Earth
Scientists have produced an enhanced, ultra-pure form of silicon that allows the construction of high-performance qubit devices. This fundamental component is crucial for paving the way towards scalable quantum computing.
The finding, published in the journal Communications Materials – Nature, could define and push forward the future of quantum computing.
The research was led by Professor Richard Curry from the Advanced Electronic Materials group at The University of Manchester, in collaboration with the University of Melbourne in Australia.