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IMAGE: Artistic depiction of XFEL measurement with neon gas. The inherent delay between the emission of photoelectrons and Auger electrons leads to a characteristic ellipse in the analyzed data. In principle,. view more
Credit: (Image by Daniel Haynes and Jörg Harms/Max Planck Institute for the Structure and Dynamics of Matter.)
Breakthrough greatly enhances the ultrafast resolution achievable with X-ray free-electron lasers.
A large international team of scientists from various research organizations, including the U.S. Department of Energy s (DOE) Argonne National Laboratory, has developed a method that dramatically improves the already ultrafast time resolution achievable with X-ray free-electron lasers (XFELs). It could lead to breakthroughs on how to design new materials and more efficient chemical processes.
New AI-Based Device Mimics Neural Activity of the Human Brain
Written by AZoRoboticsMar 3 2021
Artificial intelligence (AI) needs a large amount of computing power and also multipurpose hardware to support this computing power.
The collaborative research team utilized the powerful X-ray nanoprobe imaging tool to study the NdNiO₃ device showing neuron tree-like memory. A scanning electron microscope image of the NdNiO₃ device is shown at the bottom. The red rectangle shows the scanned area of the X-ray imaging. Image Credit: by Argonne National Laboratory.
However, the majority of the AI-supportive hardware is based around the same ancient technology and is still a long way from simulating the neural activity in the human brain.
DOE/Argonne National Laboratory
Artificial intelligence, or AI, requires a huge amount of computing power, and versatile hardware to support that power. But most AI-supportive hardware is built around the same decades-old technology, and still a long way from emulating the neural activity in the human brain.
In an effort to solve this problem, a group of scientists from around the country, led by Prof. Shriram Ramanathan of Purdue University, has discovered a way to make the hardware more efficient and sustainable. We re creating hardware that is smart enough to keep up (with advancements in AI) and also doesn t use too much energy. In fact, the energy demand will be cut significantly using this technology. Argonne physicist Hua Zhou
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DOE/Argonne National Laboratory
There was no relief against systemic racism for Blacks living in Mississippi, or elsewhere throughout the South, during the 1940s. Jim Crow laws that took root throughout the South had found their way across much of the nation by the early decades of the 1900s, many of them aimed at segregation, whether in the military, marriage, public facilities, restaurants or schools.
Yet, in a world clouded by apprehension, fear and suspicion, bright spots prevailed. I hope the people who receive the Fellowship, whether they stay at the lab or go elsewhere, see themselves as someone who can be a role model and a participant in increasing and enhancing the number of African Americans in science. Walter Massey