Neural Computing Interfaces will revolutionize the world. From aiding motor function recovery, to augmenting and transforming the future human users. In this video, we take a look at what good can come from this technology but also what dark horrors await this future.
One key objective of electronics engineering research is to develop computing devices that are both highly performing and energy-efficient, meaning that they can compute information quickly while consuming little power. One possible way to do this could be to combine units that perform logic operations and memory components into a single device.
So far, most computing devices have been made up of a processing unit and a physically separate memory component. The creation of a device that can efficiently perform both these functions, referred to as a logic-in-memory architecture, could help to significantly simplify devices and cut down their power consumption.
While a few of the logic-in-memory architectures proposed so far achieved promising results, most existing solutions come with practical limitations. For instance, some devices have been found to be unstable, unreliable or only applicable to specific use cases.
After recombining the superposed photons by sending them through another crystal, the team measured the photon polarization across a number of repeated experiments. They found a quantum interference pattern, a pattern of light and dark stripes that could exist only if the photon had been split and was moving in both time directions.
“The superposition of processes we realized is more akin to an object spinning clockwise and counter-clockwise at the same time,” Strömberg said. The researchers created their time-flipped photon out of intellectual curiosity, but follow-up experiments showed that time flips can be paired with reversible logic gates to enable simultaneous computation in either direction, thus opening the way for quantum processors with greatly enhanced processing power.
Theoretical possibilities also sprout from the work. A future theory of quantum gravity, which would unite general relativity and quantum mechanics, should include particles of mixed time orientations like the one in this experiment, and could enable the researchers to peer into some of the universe’s most mysterious phenomena.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at the Department of Energy’s Oak Ridge National Laboratory achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Results published in Proceedings of the National Academy of Sciences show that an artificial cell membrane is capable of long-term potentiation, or LTP, a hallmark of biological learning and memory. This is the first evidence that a cell membrane alone—without proteins or other biomolecules embedded within it—is capable of LTP that persists for many hours. It is also the first identified nanoscale structure in which memory can be encoded.
“When facilities were shut down as a result of COVID, this led us to pivot away from our usual membrane research,” said John Katsaras, a biophysicist in ORNL’s Neutron Sciences Directorate specializing in neutron scattering and the study of biological membranes at ORNL.
In Episode 10 we explore the Matrioshka Brain, a nested Layer type of Dyson Sphere designed to turn stars in to giant computers, and conclude our look at Dyson Spheres and other types of Stellar Engines.
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Dark matter makes up about 27% of the matter and energy budget in the universe, but scientists do not know much about it. They do know that it is cold, meaning that the particles that make up dark matter are slow-moving. It is also difficult to detect dark matter directly because it does not interact with light. However, scientists at the U.S. Department of Energy’s Fermi National Accelerator Laboratory (Fermilab) have discovered a way to use quantum computers to look for dark matter.
Aaron Chou, a senior scientist at Fermilab, works on detecting dark matter through quantum science. As part of DOE’s Office of High Energy Physics QuantISED program, he has developed a way to use qubits, the main component of quantum computing.
Performing computation using quantum-mechanical phenomena such as superposition and entanglement.
Scientists from EPFL and the University of Lausanne have used a chip that was originally designed for environmental science to study the properties of biocement formation. This material has the potential to replace traditional cement binders in certain civil engineering applications.
The chip is the size of a credit card and its surface is engraved with a flow channel measuring one meter from end to end that is as thick as a human hair. Researchers can inject a solution into one end of the channel and, with the help of time-lapse microscopy, observe the solution’s behavior over several hours. Medical scientists have used similar chips for health care applications, such as to examine how arteries get clogged or how a drug spreads into the bloodstream, while environmental engineers have applied them to the study of biofilms and contaminants in drinking water.
Now, a team of civil engineers at EPFL’s Laboratory of Soil Mechanics (LMS), together with scientists from the Faculty of Geosciences and Environment at the University of Lausanne (UNIL), have repurposed the chip to understand complex transport-reaction phenomena involved in the formation of new kinds of biocement.
Our Wolfram Physics Project has provided a surprisingly successful picture of the underlying (deeply computational) structure of our physical universe. I’ll talk here about how our perception of that underlying structure is determined by what seem to be key features of our consciousness—and how this leads to detailed laws of physics as we experience them. Our Physics Project has led to the concept of the ruliad—the entangled limit of all possible computations—which seems to represent a common underlying structure from which both physics and mathematics emerge. I’ll talk about the comparison between physical and mathematical observers, and how their common features in consciousness lead to implications for general laws of “bulk mathematics”.
The future of laser communications looks bright and boundless.
In groundbreaking news, MIT announced on November 30 that engineers at the Lincoln Laboratory had broken the record for the fastest laser link from space with its TeraByte InfraRed Delivery (TBIRD) system.
The TBIRD payload, launched into orbit in May 2022, has sent down data at a speed of up to 100 gigabits per second through an optical communication link to a ground receiver in California. The new record is around 1,000 times faster than traditional methods. This means that sending information to and from space will see tremendous improvement with this new technology.
