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  • Researchers are using advancing technology to expand and augment our traditional senses, tapping into how our brains process signals and manipulating that sensory feedback.
  • This research is transforming lives, giving the blind ways to “see” and the deaf ways to “hear,” and it could one day lead to the development of new senses altogether.

Traditionally, humans have five recognized senses: sight, touch, taste, smell, and sound. In the strictest sense, our reality is defined by anything and everything we experience through those five senses, but today’s technology is allowing us to live in a world beyond them.

The idea that humans may have more senses isn’t as far-fetched as it sounds. For example, our sense of balance and our body’s inherent pain monitoring capabilities would both be considered crucial sensory inputs. Not everyone experiences the traditional five senses in the same way, either. A small fraction of the population (around 4.4 percent) has synesthesia, a form of sensory perception that causes them to experience crosswired sensations such as “seeing” sounds or “feeling” tastes.

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“These re-engineered organisms will change our lives over the coming years, leading to cheaper drugs, ‘green’ means to fuel our cars and targeted therapies for attacking ‘superbugs’ and diseases, such as cancer,” wrote Drs. Ahmad Khalil and James Collins at Boston University, who were not involved in the study.


Our brains are often compared to computers, but in truth, the billions of cells in our bodies may be a better analogy. The squishy sacks of goop may seem a far cry from rigid chips and bundled wires, but cells are experts at taking inputs, running them through a complicated series of logic gates and producing the desired programmed output.

Take beta cells in the pancreas, which manufacture and store insulin. If they detect a large spike in blood sugar, then they release insulin; else they don’t. Each cell adheres to commands like these, allowing us—the organism—to operate normally.

This circuit-like nature of cellular operations is not just a handy metaphor. About 50 years ago, scientists began wondering: what if we could hijack the machinery behind these algorithms and reprogram the cells to do whatever we want?

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This week saw researchers announce a promising new approach to Parkinson’s by the use of cellular reprogramming. The team lead by Ernest Arenas used a cocktail of four transcription factors to reprogram support cells inside the brain.

The research team placed the reprogramming factors into a harmless type of lentivirus and injected them en masse into a Parkinson’s disease model mice. The viruses infected support cells in the brain known as astrocytes (a support cell that regulates the transmission of electrical impulses within the brain) which are present in large numbers. The lentiviruses delivered their four factor payload to the target cells changing them from astrocytes into dopamine producing neurons.

Within three weeks the first cells had been reprogrammed and could be detected, and after fifteen weeks there were abundant numbers of dopamine producing neurons present. This is good news indeed as it also confirms that once reprogrammed the cells remain changed and stable and do not revert back into astrocytes.

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Interesting link within concerning an injectable interface.


To be able to design a device that measures brain activity an understanding of the brains function is required. This section gives a high-level overview of some of the key elements of brain function. Human brains contain approximately 80 billion neurons, these neurons are interconnected with 7,000 synaptic connections each (on average). The combination of neurons firing and their communication is, in very simple terms the basis of all thoughts conscious and subconscious. Logically if the activity of these neurons and their connections were read in real-time, a sufficiently intelligent algorithm could understand all thoughts present. Similarly, if an input could be given at this level of granularity new thoughts could be implanted.

All human brains abide by the general structure shown in the picture below, certain areas, by and large do certain things. If higher levels of thoughts like creativity, idea generation and concentration want to be read, the frontal lobe is the place to look. If emotions and short-term memory are the target, the temporal lobe is the place to read from.

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Technically, an animal could use RNA editing to change the nature of its proteins without completely altering the underlying DNA instructions. This makes the cephalopods’ ability to do it a very interesting phenomenon, but it’s unclear as to why the species requires this much RNA editing. Many of the edited proteins were found in the animals’ brains, which is why scientists think the editing and their brainpower could be linked.


More than any other species on earth, octopuses are particularly smart—they can solve puzzles, use tools, and communicate using color. Now scientists are saying they’re also capable of editing their RNA.

A team of scientists led by Joshua Rosenthal at the Marine Biological Laboratory and Noa Liscovitch-Braur and Eli Eisenberg at Tel Aviv University have discovered that octopuses and squid are capable of a type of genetic alteration called RNA editing. The process is rare among other species, leading scientists to believe that the cephalopods have evolved to follow a special kind of gene recoding.

Normally, living creatures use the information contained in DNA to make proteins, and RNA is the go-between, simply transmitting the message in the DNA. More than 60 percent of RNA transcripts in squid are recoded by editing, and similar levels of RNA editing were identified in other cephalopod species, including two octopuses and a cuttlefish. This changes the message that gets sent out, which in turn changes the proteins that get produced. In comparison, other species like fruit flies and humans experience recoding events only a fraction of one percent of the time. But exactly how the gene editing mechanics work is a mystery.

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We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next character in the text of Amazon reviews.

A linear model using this representation achieves state-of-the-art sentiment analysis accuracy on a small but extensively-studied dataset, the Stanford Sentiment Treebank (we get 91.8% accuracy versus the previous best of 90.2%), and can match the performance of previous supervised systems using 30-100x fewer labeled examples. Our representation also contains a distinct “sentiment neuron” which contains almost all of the sentiment signal.

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Transhumanism stuff out in these stories: http://z-news.link/the-future-of-the-earth-through-the-eyes-of-futurists-photo/ & http://yemcentral.com/2017/03/29/would-robots-make-better-politicians-than-humans/ & https://player.fm/series/lions-of-liberty-podcast/287-zoltan-istvan-on-the-transhumanist-movement-and-liberty


Futurism, or more precisely, futurology, is the study of possible hypotheses, probable and preferred options for the future. To understand what futurists predict in the improvement of the human condition, consider the progress happening in the field of science, medicine and computing.

1. Cure Alzheimer’s disease

Будущее Земли глазами футурологов. Фото

Alzheimer’s disease is type of dementia that causes problems with memory, thinking abilities and behavior. It is a progressive disease, which means that the disease gets worse over time. Only in the US estimated to suffer her 5.4 million people. Today for Alzheimer’s disease there is no cure, but one group of scientists believes that it will be able to figure out a way to deal with it.

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