Lifeboat Foundation

Harnessing the Hum of Fluorescent Lights for More Efficient Computing

The property that makes fluorescent lights buzz could power a new generation of more efficient computing devices that store data with magnetic fields, rather than electricity.

A team led by University of Michigan researchers has developed a material that’s at least twice as “magnetostrictive” and far less costly than other materials in its class. In addition to computing, it could also lead to better magnetic sensors for medical and security devices.

Moore’s Law, the famous prediction that the number of transistors that can be packed onto a microchip will double every couple of years, has been bumping into basic physical limits. These limits could bring decades of progress to a halt, unless new approaches are found.

One new direction being explored is the use of atomically thin materials instead of silicon as the basis for new transistors, but connecting those “2D” materials to other conventional electronic components has proved difficult.

Now researchers at MIT, the University of California at Berkeley, the Taiwan Semiconductor Manufacturing Company, and elsewhere have found a new way of making those electrical connections, which could help to unleash the potential of 2D materials and further the miniaturization of components—possibly enough to extend Moore’s Law, at least for the near future, the researchers say.

Scientists used to perform experiments by stirring biological and chemical agents into test tubes.

Nowadays, they automate research by using microfluidic chips the size of postage stamps. In these tiny devices, millions of microscopic particles are captured in droplets of water, each droplet serving as the “test tube” for a single experiment. The chip funnels these many droplets, one at a time, through a tiny channel where a laser probes each passing droplet to record thousands of experimental results each second.

Continue reading “To make particles flow more efficiently, put an obstacle in their way” »

By decoding the brain signals involved in handwriting, researchers have allowed a man who is paralyzed to transform his thoughts into words on a computer screen.

Eight months on, the semiconductor shortage seems likely to stretch into 2022. Increasing chip production is a slow and difficult business.

Intel has overcome a quantum computing bottleneck by controlling two qubits with a cryogenic control chip.

Tokyo (AFP)

Paralysed from the neck down, the man stares intently at a screen. As he imagines handwriting letters, they appear before him as typed text thanks to a new brain implant.

The 65-year-old is “typing” at a speed similar to his peers tapping on a smartphone, using a device that could one day help paralysed people communicate quickly and easily.

An international team of physicists has shown experimentally for the first time how a Bose-Einstein condensate — tens of thousands of quanta of ‘liquid light’ — is formed in the thinnest monatomic film of a semiconductor crystal. The team includes the head of the Spin Optics Laboratory at St Petersburg University, Professor Alexey Kavokin. This discovery will help create new types of lasers capable of producing qubits — the main integral parts of quantum computers of the future.

As researchers learn more about the brain, it has become clear that responsive neurostimulation is becoming increasingly effective at probing neural circuit function and treating neuropsychiatric disorders, such as epilepsy and Parkinson’s disease. But current approaches to designing a fully implantable and biocompatible device able to make such interventions have major limitations: their resolution isn’t high enough and most require large, bulky components that make implantation difficult with risk of complications.

A Columbia Engineering team led by Dion Khodagholy, assistant professor of electrical engineering, has come up with a new approach that shows great promise to improve such devices. Building on their earlier work to develop smaller, more efficient conformable bioelectronic transistors and materials, the researchers orchestrated their devices to create high performance implantable circuits that enable allow reading and manipulation of brain circuits. Their multiplex-then-amplify (MTA) system requires only one amplifier per multiplexer, in contrast to current approaches that need an equal number of amplifiers as number of channels.

“It is critical to be able to detect and intervene to treat brain-disorder-related symptoms, such as epileptic seizures, in real time,” said Khodagholy, a leader in bio-and neuroelectronics design. “Not only is our system much smaller and more flexible than current devices, but it also enables simultaneous stimulation of arbitrary waveforms on multiple independent channels, so it is much more versatile.