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Category: computing – Page 845

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.

When her best friend died, she used artificial intelligence to keep talking to him

When the engineers had at last finished their work, Eugenia Kuyda opened a console on her laptop and began to type.

“Roman,” she wrote. “This is your digital monument.”

It had been three months since Roman Mazurenko, Kuyda’s closest friend, had died. Kuyda had spent that time gathering up his old text messages, setting aside the ones that felt too personal, and feeding the rest into a neural network built by developers at her artificial intelligence startup. She had struggled with whether she was doing the right thing by bringing him back this way. At times it had even given her nightmares. But ever since Mazurenko’s death, Kuyda had wanted one more chance to speak with him.