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

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.

The research demonstrates the potential for any device that uses light detection and ranging (Lidar) technology to be manipulated for collecting , despite not having a microphone. This work, which is a collaboration with assistant professor Jun Han at the University of Singapore was presented at the Association for Computing Machinery’s Conference on Embedded Networked Sensor Systems (SenSys 2020) on November 18, 2020.

Astrocytes Identified as Master ‘Conductors’ of the Brain

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.

New device puts music in your head — no headphones required

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.

The company provided The Associated Press with an exclusive demo of the desktop prototype of its SoundBeamer 1.0 before its launch Friday.

Make it Real: Batman Grappling Hook Winch (TEST)

SUBSCRIBE for the OUTDOOR TEST â–ș http://goo.gl/MU4hNA
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SOFTWARE:
Video Review / Collaboration â–ș http://r.frame.io/pZq3N
Video Editing â–ș Adobe Premiere
CAD â–ș Solidworks

CAMERA GEAR:
Highspeed Cam — Chronos 1.4 â–ș https://goo.gl/t7eCGG
Main shooter — Panasonic GH5s â–ș https://bhpho.to/2Fjd80N
Phone — Samsung Note 8 â–ș https://bhpho.to/2DnDicX
B Camera — Sony RX10ii â–ș https://bhpho.to/2Dp9r3y
Camcorder — Sony Handycam â–ș https://bhpho.to/2FDnq81
Slow Motion (960fps) — Sony RX10ii â–ș https://bhpho.to/2Dp9r3y
Slow Motion (240fps) — Panasonic GH5s â–ș https://bhpho.to/2Fjd80N
Action Cam — GoPro â–ș https://bhpho.to/2FxXDC4
Steadicam — Osmo â–ș https://bhpho.to/2GreBj2
Main mic — Sennheiser â–ș https://bhpho.to/2DsR8ec
Bendy Tripod â–ș https://bhpho.to/2FyLNb0
Main Tripods — old second hand Manfrotto tripods no longer sold.

TOOLS / MACHINES:

Deep Blue | Down the Rabbit Hole

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.

Patreon: https://www.patreon.com/fredrikknudsen

Twitter: https://twitter.com/FredInTheKnud

Music by Ryan Probert: https://twitter.com/ProbeComposer

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

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.

This Robotic Barista Made My Coffee | Cafe X Robot Coffee Bar

Cafe X Robot Coffee Bar in San Francisco employs assembly line-style robots to build your coffee orders for you. This robot barista can make two drinks in under a minute and will get your order right every time.

For More Info:

https://cafexapp.com

Music Credits:

Spring by Ikson: https://soundcloud.com/ikson
Music promoted by Audio Library: https://youtu.be/5WPnrvEMIdo

#cafex #robotcoffee #sanfrancisco

Using math to study paintings to learn more about the evolution of art history

A team of researchers affiliated with a host of institutions in Korea and one in Estonia has found a way to use math to study paintings to learn more about the evolution of art history in the western world. In their paper published in Proceedings of the National Academy of Sciences, the group describes how they scanned thousands of paintings and then used mathematical algorithms to find commonalities between them over time.

Beauty, as the saying goes, is in the eye of the beholder—and so it is also with art. Two people looking at the same can walk away with vastly different impressions. But art also serves, the researchers contend, as a barometer for visualizing the emotional tone of a given society. This suggests that the study of art history can serve as a channel of sorts—illuminating societal trends over time. The researchers further note that to date, most studies of art history have been qualitatively based, which has led to interpretive results. To overcome such bias, the researchers with this new effort looked to mathematics to see if it might be useful in uncovering features of paintings that have been overlooked by human scholars.

The work involved digitally scanning 14,912 paintings—all of which (except for two) were painted by Western artists. The data for each of the paintings was then sent through a mathematical that drew partitions on the based on contrasting colors. The researchers ran the algorithm on each painting multiple times, each time creating more partitions. As an example, the first run of the algorithm might have simply created two partitions on a painting—everything on land, and everything in the sky. The second might have split the land into buildings in one partition and farmland in another.