Archive for the ‘media & arts’ category

Nov 23, 2020

Futuristic device from Israeli firm puts music in your head, without headphones

Posted by in categories: futurism, media & arts

‘Sound beaming’ 3D technology from Noveto Systems tracks ear and sends it audio using ultrasonic waves, creating personal listening pockets.

Nov 21, 2020

An Interview with David Ettinger on the Cryonics Institute (Detroit)

Posted by in categories: cryonics, life extension, media & arts

Nov 18, 2020

Researchers hacked a robotic vacuum cleaner to record speech and music remotely

Posted by in categories: media & arts, robotics/AI

It seems these robots could be used to spy on you from home. 😃

A team of researchers demonstrated that popular robotic household vacuum cleaners can be remotely hacked to act as microphones.

The researchers—including Nirupam Roy, an assistant professor in the University of Maryland’s Department of Computer Science—collected information from the laser-based in a popular vacuum robot and applied and deep learning techniques to recover speech and identify playing in the same room as the device.

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Nov 13, 2020

Astrocytes Identified as Master ‘Conductors’ of the Brain

Posted by in categories: media & arts, neuroscience

Summary: Astrocytes are involved in regulating inhibitory synapses by binding to neurons through the NrCAM adhesion molecule.

Source: Duke University

In the orchestra of the brain, the firing of each neuron is controlled by two notes–excitatory and inhibitory– that come from two distinct forms of a cellular structure called synapses. Synapses are essentially the connections between neurons, transmitting information from one cell to the other. The synaptic harmonies come together to create the most exquisite music–at least most of the time.

Nov 12, 2020

New device puts music in your head — no headphones required

Posted by in categories: computing, media & arts

New device puts music in your head — no headphones required…

LONDON (AP) — Imagine a world where you move around in your own personal sound bubble. You listen to your favorite tunes, play loud computer games, watch a movie or get navigation directions in your car — all without disturbing those around you.

That’s the possibility presented by “sound beaming,” a new futuristic audio technology from Noveto Systems, an Israeli company. On Friday it will debut a desktop device that beams sound directly to a listener without the need for headphones.

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Nov 7, 2020

Make it Real: Batman Grappling Hook Winch (TEST)

Posted by in categories: media & arts, mobile phones

Music credits below:

Become a Hacksmith member get exclusive perks! ►
►Early video access
►Project design files (solidworks)
►Merch Discounts
►Colaborate with us on our videos

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Nov 6, 2020

DARPA Subterranean Challenge Team Profiles Cave Circuit

Posted by in category: media & arts

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Nov 4, 2020

Deep Blue | Down the Rabbit Hole

Posted by in categories: media & arts, robotics/AI

I highly recommend checking this fantastic look at Deep Blue and the fascinating role chess has played in the ongoing development of artificial intelligence.

After an electrical engineer enters the field of computer chess, his creation captures the attention of the world as he attempts to defeat the world chess champion.

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Nov 1, 2020

Natural Organisms in Soil Can Power Lights With This Bio Battery, Which May Be World’s Most Disruptive Technology

Posted by in categories: biotech/medical, media & arts

A biotech startup from Spain is making batteries that can power lights, music, and screens by using electrcity generated from soil microbes.

Oct 26, 2020

Google AI Introduces Performer: A Generalized Attention Framework based on the Transformer architecture

Posted by in categories: media & arts, robotics/AI

Transformer model, a deep learning framework, has achieved state-of-the-art results across diverse domains, including natural language, conversation, images, and even music. The core block of any Transformer architecture is the attention module, which computes similarity scores for all pairs of positions in an input sequence. Since it requires quadratic computation time and quadratic memory size of the storing matrix, with the increase in the input sequence’s length, its efficiency decreases.

Thus, for long-range attention, one of the most common methods is sparse attention. It reduces the complexity by computing selective similarity scores from the sequence, based on various methods. There are still certain limitations like unavailability of efficient sparse-matrix multiplication operations on all accelerators, lack of theoretical guarantees, insufficiency to address the full range of problems, etc.

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