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A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium OxideClick to copy article linkArticle link copied!

A spiking neural network consists of artificial synapses and neurons and may realize human-level intelligence. Unlike the widely reported artificial synapses, the fabrication of large-scale artificial neurons with good performance is still challenging due to the lack of a suitable material system and integration method. Here, we report an ultrathin (less than10 nm) and inch-size two-dimensional (2D) oxide-based artificial neuron system produced by a controllable assembly of solution-processed 2D monolayer TiOx nanosheets. Artificial neuron devices based on such 2D TiOx films show a high on/off ratio of 109 and a volatile resistance switching phenomenon. The devices can not only emulate the leaky integrate-and-fire activity but also self-recover without additional circuits for sensing and reset. Moreover, the artificial neuron arrays are fabricated and exhibited good uniformity, indicating their large-area integration potential. Our results offer a strategy for fabricating large-scale and ultrathin 2D material-based artificial neurons and 2D spiking neural networks.

Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing

A spiking neural network consists of artificial synapses and neurons and may realize human-level intelligence. Unlike the widely reported artificial synapses, the fabrication of large-scale artificial neurons with good performance is still challenging due to the lack of a suitable material system and integration method. Here, we report an ultrathin (less than10 nm) and inch-size two-dimensional (2D) oxide-based artificial neuron system produced by a controllable assembly of solution-processed 2D monolayer TiOx nanosheets. Artificial neuron devices based on such 2D TiOx films show a high on/off ratio of 109 and a volatile resistance switching phenomenon. The devices can not only emulate the leaky integrate-and-fire activity but also self-recover without additional circuits for sensing and reset. Moreover, the artificial neuron arrays are fabricated and exhibited good uniformity, indicating their large-area integration potential. Our results offer a strategy for fabricating large-scale and ultrathin 2D material-based artificial neurons and 2D spiking neural networks.

Small but mighty: A seed-inspired monocopter idea takes flight

From a seed-inspired design to a 26-minute flight time on a single rotor, a new monocopter developed by SUTD researchers marks a 10-year journey towards redefining how efficient small flying robots can be.

When Singapore celebrated its 50th year of independence in 2015, a team of student researchers led by Associate Professor Foong Shaohui from Singapore University Technology and Design (SUTD) embarked on an ambitious challenge: to design and build a drone capable of 50 minutes of sustained flight.

At the time, most hobbyist quadcopters could barely manage half of that. The SG50 Multi-Rotor Drone project succeeded, but to fly that long, the craft had to be large, complex, and heavy.

Quantum “Schrödinger’s Cat” Survives For Mind-Blowing 23 Minutes In Record-Breaking Experiment

A yet-to-be peer-reviewed study by scientists at the University of Science and Technology of China involved cooling 10,000 ytterbium atoms to just a few thousandths of a degree above absolute zero and trapping them using light. Each atom was precisely controlled and placed into a superposition of two distinct spin states. This is known as a “quantum cat” state.

In the famous Schrödinger’s cat thought experiment, we see a cat closed in a box with a poison activated by a random quantum process. Without opening the box, we cannot ascertain the state of the cat, so it is both alive and dead, two contradictory states in the non-quantum reality we experience. In the quantum world, quantum cat states are superpositions where a quantum state can exist in several ways at once, although it’s impossible to tell which one it really is, so it’s effectively all of them at once.

In the recent experiment, it is the length of this quantum cat state that is astounding. In nature, the superposition will collapse into one or the other in a fraction of a second, but here it persisted for 1,400 seconds. The team thinks that with a better vacuum system, it can be made to last even longer.

Chat With Your Enterprise Data Through Open-Source AI-Q NVIDIA Blueprint

Enterprise data is exploding—petabytes of emails, reports, Slack messages, and databases pile up faster than anyone can read. Employees are left searching for answers in a sea of information, as “68% of available data in an organization goes unused,” according to market researcher Gartner1.

That’s now possible with today’s availability of AI-Q, an open-source NVIDIA Blueprint that puts your business knowledge at your fingertips. AI-Q is a free, reference implementation for building artificial general agents (AGA) that connect to your enterprise data; reason across multimodal data sources using the latest AGI models; and deliver comprehensive, fast, accurate answers—securely and at scale.

AI-Q provides a developer-friendly workflow example for building an AI-powered agent that can:

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