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Researchers at CRANN (The Centre for Research on Adaptive Nanostructures and Nanodevices), and the School of Physics at Trinity College Dublin, today announced that a magnetic material developed at the Centre demonstrates the fastest magnetic switching ever recorded.

The team used femtosecond laser systems in the Photonics Research Laboratory at CRANN to switch and then re-switch the magnetic orientation of their material in trillionths of a second, six times faster than the previous record, and a hundred times faster than the clock speed of a personal computer.

This discovery demonstrates the potential of the material for a new generation of energy efficient ultra-fast computers and data storage systems.

In a feat worthy of a laboratory conceived by J.K. Rowling, MIT researchers and colleagues have turned a “magic” material composed of atomically thin layers of carbon into three useful electronic devices. Normally, such devices, all key to the quantum electronics industry, are created using a variety of materials that require multiple fabrication steps. The MIT approach automatically solves a variety of problems associated with those more complicated processes.

As a result, the work could usher in a new generation of quantum for applications including quantum computing. Further, the devices can be superconducting, or conduct electricity without resistance. They do so, however, through an unconventional mechanism that, with further study, could give new insights into the physics of superconductivity. The researchers report their results in the May 3, 2021 issue of Nature Nanotechnology.

“In this work we have demonstrated that magic angle is the most versatile of all , allowing us to realize in a single system a multitude of quantum electronic devices. Using this advanced platform, we have been able to explore for the first time novel superconducting physics that only appears in two dimensions,” says Pablo Jarillo-Herrero, the Cecil and Ida Green Professor of Physics at MIT and leader of the work. Jarillo-Herrero is also affiliated with MIT’s Materials Research Laboratory.

Tesla explained how it pivoted to avoid the global microchip shortage that Intel now says could last for several more years.

The pandemic has resulted in an increase in demand for many electronics and computers that the supply chain couldn’t handle, especially the semiconductor industry.

This microchip shortage, in turn, affected the automotive industry, which has increasingly become a big consumer of microchips.

Intel exploits the obvious hole in the Ryzen product stack.


Our encoding tests include benchmarks that respond best to single-threaded performance, like the quintessential LAME and FLAC examples, but the SVT-AV1 and SVT-HEVC tests represent a newer class of threaded encoders.

Intel’s Core i5-11400 takes the lead over its similarly-priced competitors in the LAME benchmark, while we see a near-tie across the board in FLAC. We see larger gains for the 11400 in the threaded SVT-AV1 and HEVC encoder tests, but only after we lifted the power limits and used a more powerful cooler.

Switching gears to HandBrake, which we test in both AVX-light x264 and AVX-heavy x265 flavors, shows that the Core i5-11400, again with the right cooler and lifted power limits, can beat the Ryzen 3000 chips. But the deltas are slim.

Neuralink President Max Hodak tweeted Saturday that he has left the company he co-founded with Tesla and SpaceX CEO Elon Musk. Hodak didn’t elaborate on why he left the company or elaborate on the circumstance for his departure. “I am no longer at Neuralink (as of a few weeks ago),” he tweeted. “I learned a ton there and remain a huge cheerleader for the company! Onward to new things.”

✨Some personal news:✨ I am no longer at Neuralink (as of a few weeks ago). I learned a ton there and remain a huge cheerleader for the company! Onward to new things.— Max Hodak (@max_hodak) May 1, 2021

Neuralink is focused on developing brain-machine interfaces. Last month, the company posted a video to YouTube that appeared to show a monkey with a Neuralink implant in its brain moving a cursor on a computer screen using only its mind.

Researchers have developed a brain-like computing device that is capable of learning by association.

Similar to how famed physiologist Ivan Pavlov conditioned dogs to associate a bell with food, researchers at Northwestern University and the University of Hong Kong successfully conditioned their circuit to associate light with pressure.

The research will be published today (April 30, 2021) in the journal Nature Communications.