Faster than 5G | Future Ultrahigh-speed Wireless Data Transmission

TERAHERTZ TRANSMITTER:

Researchers have developed a terahertz (THz) transmitter capable of transmitting digital data at a rate 10 times or more faster than that offered by the fifth-generation mobile networks (5G) expected to appear around 2020. The terahertz transmitter could make it possible for the whole content on a DVD (digital versatile disk) to be transferred in a fraction of a second, according to the research scheduled to be presented at the International Solid-State Circuits Conference (ISSCC) 2017 being held from February 5-9 in San Francisco, California. 

The research group has developed a transmitter that achieves a communication speed of 105 gigabits per second using the frequency range from 290 gigahertz (GHz) to 315 GHz. This range of frequencies are currently unallocated but fall within the frequency range from 275 GHz to 450 GHz, whose usage is to be discussed at the World Radio communication Conference (WRC) 2019 under the International Telecommunication Union Radio-communication Section (ITU-R). 

WORKING:

Last year, the group demonstrated that the speed of a wireless link in the 300-GHz band could be greatly enhanced by using quadrature amplitude modulation (QAM). This year, they showed six times higher per-channel data rate, exceeding 100 gigabits per second for the first time as an integrated-circuit-based transmitter. This made the per-channel data rate above 10.

"We usually talk about wireless data rates in megabits per second or gigabits per second. But we are now approaching terabits per second using a plain simple single communication channel,"  said one of the researchers Minoru Fujishima, Professor at Hiroshima University in Japan.

The terahertz band is a new and vast frequency resource expected to be used for future ultrahigh-speed wireless communications. 

"Terahertz could offer ultrahigh-speed links to satellites as well, which can only be wireless. That could, in turn, significantly boost in-flight network connection speeds, for example. Other possible applications include fast download from contents servers to mobile devices and ultra-fast wireless links between base stations," Fujishima added. 

The research group from Hiroshima University, Japan's National Institute of Information and Communications Technology, and Panasonic Corporation plans to further develop 300-GHz ultrahigh-speed wireless circuits. 

Future Toys - Mind Controlled Interfaces

BRAIN CONTROLLED INTERFACES:

As people get their first taste of voice-controlled home robots and motion-based virtual realities, a quiet swath of technologists are thinking big picture about what comes after that. The answer has major implications for the way we’ll interact with our devices in the near future.

A new method of interacting with your everyday devices is to control them with your brain. this idea has picked up pace after some recent events in tech industry and the pioneer of producing such systems which allow us to control devices using brain is NEURABLE. 

This boston based startup  which was recently granted $2 million by Ann Arbor-to-Cambridge transplant in a seed round led by Brian Shin of BOSS Syndicate, a Boston-based alliance of regionally focused angel investors. Other investors include PJC, Loup Ventures and NXT Ventures. Previously, the company took home more than $400,000 after bagging the second-place prize at the Rice Business Plan Competition.

Unlike other neuro-startups like Interaxon’s Muse and Thync , Neurable has no intention to build its own hardware, instead relying on readily available electroencephalography (EEG) devices, which usually resemble a cap or a headband. Equipped with multiple sensors that can detect and map electrical activity in the brain.

Brain Controlled Robot Interface Employs Artificial Intelligence to Bridge Communication Gap

EEG headsets record neural activity which can then be interpreted by custom software and translated into an output. Such a system is known as a brain computer interface, or BCI. The BCI's are best known for their applications for people with severe disabilities, like ALS and other neuromuscular conditions. The problem is that most of these systems are really slow; it can take 20 seconds for a wearer to execute a simple action, like choosing one of two symbols on a screen.

Neurable’s core innovation is a machine learning method that could cut down the processing wait so that user selection happens in real time. The same new analysis approach will also tackle the BCI signal to noise issue, amplifying the quality of the data to yield a more robust data set.

Instead of measuring specific brainwaves, Neurable’s software is powered by what Alcaide calls a “brain shape.” Measuring this shape — a pattern of responsive brain activity known as an event-related potential — is a way to gauge if a stimulus or other kind of event is important to the user. This brain imaging notion, roughly an observation of cause and effect, has actually been around in some form for at least 40 years.

“Our vision is to make this the standard human interaction platform for any hardware or software device,” Ramses Alcaide - one of the founders of neurable - said in an interview. “So people can walk into their homes or their offices and take control of their devices using a combination of their augmented reality systems and their brain activity.”. Alcaide said. “In the long game, we want to become that piece of software that runs on every hardware and software application that allows you to interpret brain activity."