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1,7Gbps WiFi chip

27.05.2013

California-based Quantenna Communications announced the start of deliveries of trial samples of the QSR1000 chipset, which allows data transmission over Wi-Fi technology at a record speed of 1,7 Gbps.

The Quantenna QSR1000 is based on the 802.11ac standard. In order to provide the specified speed, the engineers added support for MIMO technology with a 4x4 configuration to the chipset, that is, data transmission simultaneously on four channels.

To date, all other existing Wi-Fi chipsets support data transmission over only one, two or three channels. By adding a fourth channel, Quantenna was able to increase speeds by 400 Mbps over the fastest chipset on the market. In order to transmit data at a speed of 1,7 Gbps, it is necessary that both the transmitting and receiving devices support MIMO 4x4. At the same time QSR1000 maintains backward compatibility. That is, a router equipped with this chipset will support the previous Wi-Fi wireless standard, 802.11n, and 1x1, 2x2, and 3x3 MIMO configurations.

According to Quantenna, the new chipset allows simultaneous transmission of Full HD video to multiple wireless devices without delay. It can also be used to transmit Ultra HD video. In addition to test samples, the company offers partners design examples of access points, routers and client consumer devices based on the new solution.

The 802.11 standards are developed by a working group of the international non-profit association Institute of Electrical and Electronics Engineers (IEEE). For the first time, information about the new standard, 802.11ac, was published in January 2011. It is proposed to use 80 MHz and 160 MHz channels in the 5 GHz band for data transmission. The maximum speed is 1,73 Gbps.

It is expected that by the end of 2015 there will be 1 billion devices in the world that support the new standard. Quantenna believes that 802.11ac support will be widespread in smartphones and tablets by the end of 2013.

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Wheelchair control with the mind 11.03.2016

Researchers at the Duke University School of Medicine (USA) have developed a device to control the movement of a wheelchair using only mental commands and have successfully tested it on monkeys.

To date, several scientific groups in the world have developed brain-machine interfaces to control prostheses using the activity of neurons in the cerebral cortex. However, it remained unclear whether this method could be used to control a wheelchair as it moved continuously through space.

Biologists from Duke University began experiments that could answer this question back in 2012. They injected two rhesus monkeys with hundreds of tiny microfibers in the cortex, responsible for movement and sensation. Then, placing the monkeys in wheelchairs, the researchers showed them bunches of grapes, forcing the monkeys to strive for the desired goal. The macaques did not move, so the drive was purely mental. The researchers recorded the resulting signals from nearly 300 brain neurons. Having accumulated a vast array of data, they programmed a computer system - a decoder - to translate brain signals into digital commands to control a special robotic wheelchair.

At the next stage, the monkeys tried to reach the goal by mentally controlling the wheelchair. They showed good learning ability, over time greatly improved their ability to navigate and got to the treat more and more efficiently and quickly.

Thus, the experimenters were able to prove that the activity of the cerebral cortex can be used to control the movement of a wheelchair and the brain can be taught this.

Interestingly, along with the brain signals responsible for various types of movement, the researchers unexpectedly identified a signal corresponding to an estimate of the distance to the target, which was not present at the beginning of the experiment. It came about during the course of study.

This work is of great importance for people with severe disabilities who have lost mobility and muscle control due to illness. Such technology can restore mobility to them.

Since the equipment can control up to 2000 neurons, the researchers plan to scale up the experiment to improve the fidelity and accuracy of the monkey device before moving on to developing a human version.

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