Humans are integrating with technology. Not in the future – now. With the emergence of custom prosthetics that make us stronger and faster, neural implants that change how our brains work, and new senses and abilities that you’ve never dreamed of having, it’s time to start imagining what a better version of you might look like.
From reality-enhancing implants to brain-controlled exoskeletons, breakthroughs in bio-tech have fuelled a new fusion of machinery and organic matter.
A rare group of humans known as “superagers” can grow up without their minds growing old.
Even in their 60s, 70s, and 80s, a lucky few maintain incredibly youthful memories, recalling new experiences, events, and situations just as well as people decades younger.
New research now suggests that’s because their brains have somehow resisted the march of time.
Math about black holes:
If you’ve been following the arXiv, or keeping abreast of developments in high-energy theory more broadly, you may have noticed that the longstanding black hole information paradox seems to have entered a new phase, instigated by a pair of papers [1, 2] that appeared simultaneously in the summer of 2019. Over 200 subsequent papers have since appeared on the subject of “islands”—subleading saddles in the gravitational path integral that enable one to compute the Page curve, the signature of unitary black hole evaporation. Due to my skepticism towards certain aspects of these constructions (which I’ll come to below), my brain has largely rebelled against boarding this particular hype train. However, I was recently asked to explain them at the HET group seminar here at Nordita, which provided the opportunity (read: forced me) to prepare a general overview of what it’s all about. Given the wide interest and positive response to the talk, I’ve converted it into the present post to make it publicly available.
Well, most of it: during the talk I spent some time introducing black hole thermodynamics and the information paradox. Since I’ve written about these topics at length already, I’ll simply refer you to those posts for more background information. If you’re not already familiar with firewalls, I suggest reading them first before continuing. It’s ok, I’ll wait.
Done? Great; let me summarize the pre-island state of affairs with the following two images, which I took from the post-island review [3] (also worth a read):
Jellyfish have no blood and no brains o.o…
Although jellyfish have been around for over 650 million years, they’re still very mysterious. Learn the all about the fascinating jellyfish life cycle.
Using CRISPR-Cas9, the researchers subsequently removed the one copy of the Ndn gene from the 15q dup mouse model to generate mice with a normalized genomic copy number for this gene (15q dupΔNdn mouse). Using this model, they demonstrated that the abnormalities observed in 15q dup mice (abnormal spine turnover rate and decreased inhibitory synaptic input) could be ameliorated.
A research group including Kobe University’s Professor TAKUMI Toru (also a Senior Visiting Scientist at RIKEN Center for Biosystems Dynamics Research) and Assistant Professor TAMADA Kota, both of the Physiology Division in the Graduate School of Medicine, has revealed a causal gene (Necdin, NDN) in autism model mice that have the chromosomal abnormality called copy number variation.
The researchers hope to illuminate the NDN gene’s molecular mechanism in order to contribute towards the creation of new treatment strategies for developmental disorders including autism.
These research results were published in Nature Communications on July 1, 2021.
Cutting-edge technology enables people to “feel” with prosthetic limbs they move remotely with their brains.
What if humans could exploit quantum mechanics to sense and measure the Earth’s magnetic field in real-time? If birds can do it, so can we. property= description.
What the FENCE program hopes to do is to create event-based cameras that are more intelligent thanks to the use of brain-mimicking or neuromorphic circuits. What these do is to drastically reduce the amount of data that needs to be handled by disregarding irrelevant parts of the image. Instead of dealing with an entire scene, the event-based camera focuses only on the pixels that have changed.
DARPA has announced the start of the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program, which is designed to make computer vision cameras more efficient by mimicking how the human brain processes information. Three teams of scientists led by Raytheon, BAE Systems, and Northrop Grumman, are tasked with developing an infrared (IR) camera system that needs to process less data, operates faster, and uses less power.
Modern imaging cameras are growing increasingly sophisticated, but they are also becoming victims of their own success. While state-of-the-art cameras can capture high-resolution images and track objects with great precision, they do so by processing large amounts of data, which takes time and power.
According to DARPA, this is fine when the task is something like tracking an airplane in a clear blue sky, but if the background becomes cluttered or starts to change, as is often the case in military operations, these cameras can soon be overwhelmed.
ASML’s machine has effectively turned into a choke point in the supply chain for chips, which act as the brains of computers and other digital devices. The tool’s three-continent development and production — using expertise and parts from Japan, the United States and Germany — is also a reminder of just how global that supply chain is, providing a reality check for any country that wants to leap ahead in semiconductors by itself.
A $150 million chip-making tool from a Dutch company has become a lever in the U.S.-Chinese struggle. It also shows how entrenched the global supply chain is.
