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The study, published by a multi-institutional team of researchers…

Researchers used D-Wave’s quantum computing technology to explore the relationship between prefrontal brain activity and academic achievement, particularly focusing on the College Scholastic Ability Test (CSAT) scores in South Korea.

The study, published by a multi-institutional team of researchers across Korea in Scientific Reports, relied on functional near-infrared spectroscopy (fNIRS) to measure brain signals during various cognitive tasks and then applied a quantum annealing algorithm to identify patterns correlating with higher academic performance.

Continue reading “D-Wave’s Quantum Computer Serves as Brains Behind Study That Connects Neural Activity to Academic Performance” »

Researchers have fabricated a quasi-one-dimensional van der Waals zirconium telluride thin film, which is a form of a substance that has long promised advances in quantum computing, nano-electronics and other advanced technologies. Until now, it has stumped scientists who have tried to manufacture it in large-scale quantities.

A groundbreaking study has revealed that red dwarf stars can produce stellar flares that carry far-ultraviolet (far-UV) radiation levels much higher than previously believed. This discovery suggests that the intense UV radiation from these flares could significantly impact whether planets around red dwarf stars can be habitable. Led by current and former astronomers from the University of Hawaii Institute for Astronomy (IfA), the research was recently published in the Monthly Notices of the Royal Astronomical Society.

“Few stars have been thought to generate enough UV radiation through flares to impact planet habitability. Our findings show that many more stars may have this capability,” said astronomer Vera Berger, who undertook the study while in the Research Experiences for Undergraduates program at IfA, an initiative supported by the National Science Foundation.

Berger and her team used archival data from the GALEX space telescope to search for flares among 300,000 nearby stars. GALEX is a now-decommissioned NASA mission that simultaneously observed most of the sky at near-and far-UV wavelengths from 2003 to 2013. Using new computational techniques, the team mined novel insights from the data.

The brain-machine interface race is on. While Elon Musk’s Neuralink has garnered most of the headlines in this field, a new small and thin chip out of Switzerland makes it look downright clunky by comparison. It also works impressively well.

The chip has been developed by researchers at the Ecole Polytechnique Federale de Lausanne (EPFL) and represents a leap forward in the sizzling space of brain-machine-interfaces (BMIs) – devices that are able to read activity in the brain and translate it into real-world output such as text on a screen. That’s because this particular device – known as a miniaturized brain-machine interface (MiBMI) – is extremely small, consisting of two thin chips measuring just 8 mm² total. By comparison, Elon Musk’s Neuralink device clocks in at comparatively gargantuan size of about 23 × 8 mm (about 0.3 x .9 in).

Additionally, the EPFL chipset uses very little power, is reported to be minimally invasive, and consists of a fully integrated system that processes data in real time. That’s different from Neuralink, which requires the insertion of 64 electrodes into the brain and carries out its processing via an app located on a device outside of the brain.

Ghost imaging in the time domain allows for reconstructing fast temporal objects using a slow photodetector. The technique involves correlating random or pre-programmed probing temporal intensity patterns with the integrated signal measured after modulation by the temporal object. However, the implementation of temporal ghost imaging necessitates ultrafast detectors or modulators for measuring or pre-programming the probing intensity patterns, which are not available in all spectral regions especially in the mid-infrared region.

Brain-machine interfaces (BMIs) have emerged as a promising solution for restoring communication and control to individuals with severe motor impairments. Traditionally, these systems have been bulky, power-intensive, and limited in their practical applications. Researchers at EPFL have developed the first high-performance, Miniaturized Brain-Machine Interface (MiBMI), offering an extremely small, low-power, highly accurate, and versatile solution.

Published in the latest issue of the IEEE Journal of Solid-State Circuits (“MiBMI: A 192/512-Channel 2.46mm 2 Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes”) and presented at the International Solid-State Circuits Conference, the MiBMI not only enhances the efficiency and scalability of brain-machine interfaces but also paves the way for practical, fully implantable devices. This technology holds the potential to significantly improve the quality of life for patients with conditions such as amyotrophic lateral sclerosis (ALS) and spinal cord injuries.

An image of the chip. (Image: EPFL)

Noninvasive braincomputer interfaces could vastly improve brain computer control.

Over the past two decades, the international biomedical research community has demonstrated increasingly sophisticated ways to allow a person’s brain to communicate with a device, allowing breakthroughs aimed at improving quality of life, such as access to computers and the internet, and more recently control of a prosthetic limb. DARPA has been at the forefront of this research.

The state of the art in brain-system communications has employed invasive techniques that allow precise, high-quality connections to specific neurons or groups of neurons. These techniques have helped patients with brain injury and other illnesses. However, these techniques are not appropriate for able-bodied people. DARPA now seeks to achieve high levels of brain-system communications without surgery, in its new program, Next-Generation Nonsurgical Neurotechnology (N³).

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Recently, two-dimensional (2D) materials have gained immense attention, as they are promising in various application fields, such as energy storage, thermal management, photodetectors, catalysis, field-effect transistors, and photovoltaic modules. These merits of 2D materials are attributed to their unique structure and properties. Chirality is an intrinsic property of a substance, which means the substance can not overlap with its mirror image. Significant progress has been made in chiral science, for chirality uniquely influences a chiral substance’s performance. With the rapid development of chiral science, it became unveiled that chirality not only exists in chiral organic molecules but can also be induced in 2D inorganic materials and 2D organic-inorganic hybrid materials by breaking the chiral symmetry within their framework to form 2D chiral materials. Compared with 2D materials that do not have chirality, these 2D inorganic chiral materials and 2D organic-inorganic hybrid chiral materials exhibit innovative performance due to chiral symmetry breaking. Nevertheless, at present, only a fraction of work is available which comprehensively sums up the progress of these promising 2D chiral materials. Thus, given their high potential, it is urgent to summarize these newly developed 2D chiral materials comprehensively. In the current study, to feature and highlight their major significance, the recent progress of 2D inorganic materials and 2D organic-inorganic hybrid materials from their chemical composition and categories, application potential associated with their unique properties, and present synthesis strategies to fabricate them along with discussion concerning the development challenges and their bright future were reviewed. This review is anticipated to be instructive and provide a high understanding of advanced functional 2D materials with chirality.

Keywords: Chirality, two-dimensional, inorganic, organic-inorganic hybrid, asymmetric, enantioselective, chiral-induced spin selectivity (CISS), photoelectronic, spintronics.

This experiment offers new insights into quantum mechanics, simulating how an electron might spontaneously move backward in time.