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Category: computing – Page 841

Brain modulyzer provides interactive window into the brain

For the first time, a new tool developed at the Department of Energy’s (DOE’s) Lawrence Berkeley National Laboratory (Berkeley Lab) allows researchers to interactively explore the hierarchical processes that happen in the brain when it is resting or performing tasks. Scientists also hope that the tool can shed some light on how neurological diseases like Alzheimer’s spread throughout the brain.

Created in conjunction with computer scientists at University of California, Davis (UC Davis) and with input from neuroscientists at UC San Francisco (UCSF), the software, called Brain Modulyzer, combines multiple coordinated views of functional magnetic resonance imaging (fMRI) data — like heat maps, node link diagrams and anatomical views — to provide context for brain connectivity data.

“The tool provides a novel framework of visualization and new interaction techniques that explore the brain connectivity at various hierarchical levels. This method allows researchers to explore multipart observations that have not been looked at before,” says Sugeerth Murugesan, who co-led the development of Brain Modulyzer. He is currently a graduate student researcher at Berkeley Lab and a PhD candidate at UC Davis.

Sterling’s Flash Crash was long overdue—and there will be many more

Researchers at Sapience.org foresee market instability intensifying by the computer trading ‘arms race’

FOR IMMEDIATE RELEASE

Last Friday the sterling has experienced a dramatic, ultrafast crash. It lost 10% of its value in minutes after the Asian markets opened — a decline usually reserved to declarations of war, major earthquakes and global catastrophes — and bounced right back. Although the affected exchanges are yet to release the details, computer trading algorithms almost certainly played a key role. Just like the 2010 Flash Crash, yesterday’s event is characteristic to Ultrafast Extreme Events[1]: split-second spikes in trade caused by ever smarter algorithms razor-focused on making ever-quicker profits. But the arms race is only likely to intensify as computing speed accelerates and AI algorithms become more intelligent.

Two billionaires want to help break humanity out of a giant computer simulation

RED PILL!!!!

The hypothesis that we might all be living in a computer simulation has gotten so popular among Silicon Valley’s tech elites that two billionaires are now apparently pouring money into breaking us out of the simulation.

That’s according to a new profile in the New Yorker about Y Combinator’s Sam Altman. The story delves into Altman’s life and successes at the helm of the famous boot-camp and investment fund for tech startups, and doesn’t shy away from the quirkier aspects of Altman’s character.

In the piece, Altman discusses his theories about being controlled by technology and delves into the simulation hypothesis, which is the idea that human beings are unwittingly just the characters in someone else’s computer simulation.

Synapse-like memristor-based electronic device detects brain spikes in real time

Neural Nanonics here we come: “Could lead to future autonomous, fully implantable neuroprosthetic devices”

Memristor chip (credit: University of Southampton)

A bio-inspired electronic device called a memristor could allow for real-time processing of neuronal signals (spiking events), new research led by the University of Southampton has demonstrated.

The research could lead to using multi-electrode array implants for detecting spikes in the brain’s electrical signals from more than 1,000 recording channels to help treat neurological conditions, without requiring expensive, high-bandwidth, bulky systems for processing data. The research could lead to future autonomous, fully implantable neuroprosthetic devices.

Schematic illustration of a solid-state titanium-oxide memristive device and atomic force microscopic (AFM) image a portion of a 32 × 32 crossbar array of memristors (credit: Isha Gupta/Nature Communications)

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Scientists just developed the world’s smallest transistor

Scientists have succeeded in creating the world’s smallest transistor, producing a switch with a working 1-nanometre gate. If you want to know how incredibly tiny that is, a human hair is around 80,000 to 100,000 nanometres wide.

Unlike regular transistors, the researchers’ new prototype isn’t made out of silicon – and the smaller size means we can still improve performance in integrated circuits by populating them with greater amounts of incredibly small components.

And it could help us keep Moore’s Law alive too.

Tech billionaires convinced we live in the Matrix are secretly funding scientists to help break us out of it

Some of the world’s richest and most powerful people are convinced that we are living in a computer simulation. And now they’re trying to do something about it.

At least two of Silicon Valley’s tech billionaires are pouring money into efforts to break humans out of the simulation that they believe that it is living in, according to a new report.

Philosophers have long been concerned about how we can know that our world isn’t just a very believable simulation of a real one. But concern about that has become ever more active in recent years, as computers and artificial intelligence have advanced.