Synthetic biology tools used to engineer T cells that work like living computers and recognize antigen combinations in solid tumors.
Category: computing – Page 574
NASA: Can make computers silica
Posted in computing
Three physicists in the Department of Physics and Astronomy at the University of Tennessee, Knoxville, together with their colleagues from the Southern University of Science and Technology and Sun Yat-sen University in China, have successfully modified a semiconductor to create a superconductor.
Professor and Department Head Hanno Weitering, Associate Professor Steve Johnston, and PhD candidate Tyler Smith were part of the team that made the breakthrough in fundamental research, which may lead to unforeseen advancements in technology.
Semiconductors are electrical insulators but conduct electrical currents under special circumstances. They are an essential component in many of the electronic circuits used in everyday items including mobile phones, digital cameras, televisions, and computers.
No surprises, except for the price.
ASRock is showing off its RX 6900XT graphics card, as the first manufacturer to do so.
It might be possible, physicists say, but not anytime soon. And there’s no guarantee that we humans will understand the result.
By Christopher Sciacca
The first video games debuted in the1950s, later reaching mainstream popularity in the 1970s and 80s with arcades and home video systems like Atari and Commodore 64. Remember SpaceWar! and Pong? While limited by the capabilities of the hardware, they laid the foundation for the games we develop and play today, which by 2025 is expected to be a whopping $256 billion industry.
This history and the importance of these early video games was not lost on Qiskit’s James Wootton. In 2017, he created the world’s first video game for a quantum computer, Cat-Box-Scissors, based on Rock-Paper-Scissors. He continued creating other quantum games, in the process attracting quantum enthusiasts and video game developers who wanted to try something new. And soon, games incorporating quantum computing concepts will be available for anyone to play.
Neurodegenerative diseases (NDDs) include more than 600 types of nervous system disorders in humans that impact tens of millions of people worldwide. Estimates by the World Health Organization (WHO) suggest NDDs will increase by nearly 50% by 2030. Hence, development of advanced models for research on NDDs is needed to explore new therapeutic strategies and explore the pathogenesis of these disorders. Different approaches have been deployed in order to investigate nervous system disorders, including two-and three-dimensional (2D and 3D) cell cultures and animal models. However, these models have limitations, such as lacking cellular tension, fluid shear stress, and compression analysis; thus, studying the biochemical effects of therapeutic molecules on the biophysiological interactions of cells, tissues, and organs is problematic. The microfluidic “organ-on-a-chip” is an inexpensive and rapid analytical technology to create an effective tool for manipulation, monitoring, and assessment of cells, and investigating drug discovery, which enables the culture of various cells in a small amount of fluid (10−9 to 10−18 L). Thus, these chips have the ability to overcome the mentioned restrictions of 2D and 3D cell cultures, as well as animal models. Stem cells (SCs), particularly neural stem cells (NSCs), induced pluripotent stem cells (iPSCs), and embryonic stem cells (ESCs) have the capability to give rise to various neural system cells. Hence, microfluidic organ-on-a-chip and SCs can be used as potential research tools to study the treatment of central nervous system (CNS) and peripheral nervous system (PNS) disorders. Accordingly, in the present review, we discuss the latest progress in microfluidic brain-on-a-chip as a powerful and advanced technology that can be used in basic studies to investigate normal and abnormal functions of the nervous system.
Trillion-transistor chip can run real-world simulations with over a million variables faster than real-time.
Are brain-computer interfaces the next way we will communicate with machines and even with one another? Here are 10 companies working on decoding our thoughts.