In the brain, memory involves release of neurotransmitters and transport of ions through nanoconfined channels. This Perspective discusses how nanofluidic memristors emulate this confined ion transport, highlighting the materials, design strategies and challenges involved in developing brain-inspired computing technologies.
The asteroid that caused the extinction of the dinosaurs also created an underground environment suited to supporting new life, and new research suggests it lasted for millions of years longer than previously suspected.
The finding has surprised the international team of researchers behind it, who came to their conclusions by pairing sophisticated new analysis of samples taken from the Chicxulub crater in Mexico with computer modeling of the geological effects of the asteroid impact that formed the crater 66 million years ago.
The research, published in the journal Communications Earth & Environment, casts new light on how life may have first been incubated in hydrothermal systems in the earliest chapters of Earth’s history and could help direct the search for life on other planets.
Transistors, small devices that can amplify or switch electrical signals, are central components of all modern computer chips and digital devices. There are two main types of transistors, known as n-type and p-type transistors.
N-type transistors conduct current using electrons (i.e., negatively charged particles), while p-type transistors utilize electron holes (i.e., positively charged spaces in a crystal lattice without electrons).
Electronics engineers worldwide have been exploring different solutions that could help reduce the size of existing transistors without compromising their performance, which could enable the further miniaturization of electronic devices. One promising route is to fabricate transistors using two-dimensional (2D) semiconductors, semiconducting materials that are just a single atom or a few atoms thick.
It might soon be “game over” for the video game controller. Yale researchers have developed a new kind of brain-computer interface (BCI) that lets humans play video games directly with their brains. Using real-time fMRI (functional MRI), they confirmed that the technology could help humans control a computer with their brain activity in a highly efficient way. The study appears in the journal Nature Neuroscience.
A BCI is technology that allows a human to control a computer with brain activity. Historically, they have not been effective. BCIs built using real-time neurofeedback from fMRI—a type of MRI scan showing which areas of the brain are most active over time—require up to 10 long training sessions per person, and even then the learning effects are modest. About a third of users never gain control, regardless of how many hours they practice.
“The Self as Software: Transcending and Enhancing the Brain” presented by Susan Schneider. Co-sponsored by Cognitive Science, Computing Sciences, and Philosophy
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Researchers at Meta have developed a wristband that translates your hand gestures into commands to interact with a computer, including moving a cursor, and even transcribing your handwriting in the air into text. It could make today’s personal devices a lot more accessible to people with reduced mobility or muscle weakness, and even unlock new ways for people to control their gadgets effortlessly.
A spin qubit, in which quantum information is encoded in the spin state of an electron, is one of the most promising platforms for quantum computing. Spin qubits exhibit long coherence times and are compatible with advanced semiconductor manufacturing technologies. The leading implementation of spin qubits involves confined electrons inside quantum dots, a nanoscale semiconductor architecture that behaves like a controllable artificial atom. Recent advances have enabled high-fidelity operation of single- and two-qubit gates, exceeding the threshold required for certain surface code quantum error correction techniques.
Researchers from the University of Cambridge and GlitterinTech, a startup founded by the same research group, have unveiled a fundamentally new type of optical spectrometer that delivers laboratory-grade precision in a device small enough to be embedded in portable and wearable technologies. By rethinking how spectra are measured and processed, the team has demonstrated a spectrometer costing only around $10, operating at a centimeter scale, and capable of applications ranging from industrial quality control to real-time health care monitoring.
Optical spectrometers underpin countless technologies, from chemical analysis and manufacturing to environmental sensing and medicine. Yet shrinking these instruments has historically involved painful trade-offs: Miniaturized devices typically sacrifice bandwidth, resolution or accuracy, limiting them to rough identification rather than true metrological measurements. The newly reported convolutional spectrometer overcomes these barriers by introducing a conceptually elegant operating principle grounded in the convolution theorem, offering unprecedented performance metrics compared with existing dispersive, Fourier-transform and reconstructive spectrometers.