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A research team consisting of the National Institute for Materials Science (NIMS) and the Tokyo University of Science has developed the fastest electric double layer transistor using a highly ion-conductive ceramic thin film and a diamond thin film.

This transistor may be used to develop energy-efficient, high-speed edge AI devices with a wide range of applications, including future event prediction and /determination in images (including ), voices and odors. This research was published in the June 16, 2023, issue of Materials Today Advances.

An electric double layer transistor works as a switch using electrical resistance changes caused by the charge and discharge of an electric double layer formed at the interface between the electrolyte and semiconductor. Because this transistor is able to mimic the electrical response of human cerebral neurons (i.e., acting as a neuromorphic transistor), its use in AI devices is potentially promising.

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A common metal paper clip will stick to a magnet. Scientists classify such iron-containing materials as ferromagnets. A little over a century ago, physicists Albert Einstein and Wander de Haas reported a surprising effect with a ferromagnet. If you suspend an iron cylinder from a wire and expose it to a magnetic field, it will start rotating if you simply reverse the direction of the magnetic field.

“Einstein and de Haas’s experiment is almost like a magic show,” said Haidan Wen, a physicist in the Materials Science and X-ray Science divisions of the U.S. Department of Energy’s (DOE) Argonne National Laboratory. “You can cause a cylinder to rotate without ever touching it.”

In Nature, a team of researchers from Argonne and other U.S. national laboratories and universities now report an analogous yet different effect in an “anti”-ferromagnet. This could have important applications in devices requiring ultra-precise and ultrafast motion control. One example is high-speed nanomotors for biomedical applications, such as use in nanorobots for minimally invasive diagnosis and surgery.

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The best detailed description of how consciousness develops and works that I’m aware of.

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=e8qJsk1j2zE
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Warfarin, a widely used blood thinner, appears to have potent anti-cancer properties, according to a study by Columbia University researchers. The study, conducted in human cells and in mice, found that warfarin stops tumors from interfering with a self-destruct mechanism that cells initiate when they detect mutations or other abnormalities.

“Our findings suggest that , which is already approved by the FDA, could be repurposed to treat a variety of cancers, including pancreatic cancer,” says study leader Wei Gu, Ph.D., the Abraham and Mildred Goldstein Professor of Pathology & Cell Biology (in the Institute for Cancer Genetics) at Columbia University Vagelos College of Physicians and Surgeons.

The study is titled “Regulation of VKORC1L1 is critical for p53-mediated tumor suppression through vitamin K metabolism,” and it was published July 18 in Cell Metabolism. Postdoctoral researcher scientists Xin Yang, Ph.D., and Zhe Wang, Ph.D., contributed equally as first authors.

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The appetite for hardware to train AI models is voracious.

AI chips are forecast to account for up to 20% of the $450 billion total semiconductor market by 2025, according to McKinsey. And The Insight Partners projects that sales of AI chips will climb to $83.3 billion in 2027 from $5.7 billion in 2018, a compound annual growth rate 35%. (That’s close to 10 times the forecast growth rate for non-AI chips.)

Case in point, Tenstorrent, the AI hardware startup helmed by engineering luminary Jim Keller, this week announced that it raised $100 million in a convertible note funding round co-led by Hyundai Motor Group and Samsung Catalyst Fund.

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Scientists claim to have uncovered the “missing link” that could pave the way for wearable electronic devices to control genes.

Wearable devices utilize biosensors to gather an individual’s data, including heart rate, blood pressure, sleep patterns, activity, and temperature, among other metrics.

Wearable electronic devices are playing an increasingly significant role in personalized medicine. However, they’re not yet capable of directly programming gene-based therapies, as explained in an article by a group of researchers from ETH Zurich, a public research university in Zürich, Switzerland.

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Johns Hopkins University (JHU) researchers have developed an experimental brain cancer treatment that not only cured 100% of mice that received it, but also trained their immune systems to fight future cancers.

The challenge: Glioblastoma is a rare but aggressive type of brain cancer — only 5% of patients live for more than five years after they’re diagnosed, and the average survival time is just 12–18 months. It is considered the deadliest kind of cancer.

The standard glioblastoma treatment regimen starts with surgery to remove as much of the tumor as possible. After that, patients typically undergo chemo or radiation therapy to kill lingering cells.

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