Google attempts to mimic human brain

As we can assume, the human brain is a complex system that functions seamlessly. If you were to compare it to a circuit board, you can say the human brain has many interconnected circuits that transfer information and stimuli at the speed of light. One group of scientist at google believe they can mimic this natural master piece with its new technology referred to as the deep-learning machine (TensorFlow). For years, they have been developing this machine, and it proved to be pretty cumbersome. Like mentioned earlier in this blog, engineers aim at creating “deep neural networks” within the brain of the machine.

This technology is a part of the machine learning segment in computer programming. In the article, it was tested that its extremely hard to program a computer to learn; this is overcome with a rote rehearsal like activity where the computer can remember and recall actions taken in previous exercises. Adding to its “memory database” it can begin to respond to any situation without human intervention. Currently this technology is already being used in applications like image search in Google Photos, speech recognition systems, Gmail, and Google Search.

Google aims to build computer that mimics human brain

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We heard of humans becoming robots, but now robots becoming human???

We may take for granted the effort time we put into  walking, crawling and sitting up as babies. Scientist at UC Berkeley are changing how we view robots and the way we use them. Similar to engineering of the brain, the scientist are using technology that allows the robot to learn.  Through the use of less restrictive approach, they omit any specific programming and some-what give it a brain with neuron like emulators and signal paths.

At a first glance, we may feel like its cool that robots can be taught to do what we do. But what are the implications when we begin to became useless as humans. When maximizing profits are more important than the well being of humanity, who steps in and says “slow down”!? Im all for the advancement of technology and innovation, but I’ve seen the effects of advancing the brains of computers and forgetting to put the same amount of emphasis on advancing our human brains.

Nevertheless, these scientist came up with a cool gadget, and it shows how when the right steps are taken, we can guide our society n any direction we want.

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DIY Brain-Gadget Technology!!!

Have you ever been interested in building your own technology? Well in the attached article, we are shown how to build our very own brain computer interface. If your a tech head then, you probably know the difference between open source and closed source coding. Thanks to open-source information, we are able to take the science of previous gadgets and model are own. In this article, Connor took the EEG system out of a toy to start creating his first very own brain interface.

While creating this device, Conner noticed that Open source technologies where more customizable than standard EEG systems. Even though the source of information is the same, open source tools like the Arduino can accept different variable and turned qualitative data to quantitative data.

The open source gadget consists of Texas Instrument integrated system, a micro-controller, an Arduino board which includes and card slot to capture data, and Bluetooth capabilities to wirelessly transmit data.

 

Brain DIY Article – great read

Learn how to build your own Arduino Video

 

Emotiv

There is now a way to take your brain activity and convert it into atomic data. Its called the Emotiv headset. Researchers use this device to monitor and track  Focus, Engagement, Interest, Excitement, Affinity, Relaxation, and Stress levels. The aforementioned subjects are important when working towards your growth as an individual. Furthermore, this device can manipulate data and provide you with a consensus on activities you enjoy versus activities you don’t prefer. Looking at the bigger picture, emotive can eventually improved informed decision making based off of data from pass events and scenarios.

Emotiv headsets are also capable of accepting mental commands. When combined with and orb, you can use EEG waves to command the orb to push, pull, levitate, rotate and even hard to visualize commands such as disappear.

Implications of this device could lead to better prosthetics, predictive behaviors, memory-recall, and even prevent crime. Researchers who are in the developmental stages of their research can use this device to monitor an array of technical and human factors.

Emotiv Technologies

 

Its a bird! Its a plane! No, its an UFO

This drone-like device harvests pure brain waves to remotely control its flight. We may ask, how is this done??? Through the use of a headset-like headband and a clip that goes around the ear; In combination with the ear-clip, the headband monitor brain activity through the variations of your electrical pulses. This technique is similar to neuro-surgeons tracking EEG waves. Communication between the headband and the ear-clip is dine via Blu-tooth technology.  As you relax and concentrate, an included infrared transmitter connected to your smartphone’s audio port sends a wireless signal to the UFO. The app provides a control panel that allows you to adjust the throttle, yaw, and pitch thresholds of the UFO’s propellers, adjust the sensitivity of concentration, and filter background electromagnetic interference. This item seems to be designed for kids, but I can’t help but be fascinated with it as an adult. THE POWER OF THE MIND!

http://www.hammacher.com/Product/84249?cm_cat=ProductSEM&cm_pla=AdWordsPLA&source=PRODSEM&gclid=CKPHkIus48gCFZIYHwodgmkGKw

MYTH BUSTED: Control a tablet with NO HANDS!!

Advances are approaching at an alarming rate with brain computer interfaces. When we think of tablets and hand-held devices, we never imagine using these devices without hands. Scientist at Stanford University have made this possible with neuro-engineering. A patient who goes by “T6” for confidentiality purposes, suffers from amyotrophic lateral sclerosis (also known as Lou Gehrig’s disease), which causes progressive motor neuron damage. Like T6, many people around the world live with  paralysis from spinal cord injury, stroke or neuro-degenerative diseases. These disease diminish the quality of life as people cant communicate simple thoughts or motives to the people around them.

This developing technology has many helpful components. Eye- or head-tracking components are used to translate eye movement to cursor and pointing movements on electronic devices. This is done with the transference of brain waves from the brain, to the eye, and then to the tablet. This technology even has the capabilities of recording your intent and acting for you. An example of this phenomena is how the user in this study could also perform the click function by staring intently at a single spot, known in the field as “dwell time”.

This effort was a part f the BrainGate clinical trials, and further efforts are invested to make these technology uses clinically feasible.

http://singularityhub.com/2015/10/25/scientists-connect-brain-to-a-basic-tablet-paralyzed-patient-googles-with-ease/

Learning to Walk… AGAIN!

http://www.newsweek.com/paralyzed-man-walks-using-brain-computer-link-376373

History has just been made!!! For the first time ever, a formerly paralyzed person is now able to walk again without the use of robotics. Brain computers (BCI) and their interfacEs have came a long way, and is finally makig a major break-through in the medical field. An individual with a spinal cord injury (SCI)  was recruited for the study and was trained to operate an electroencephalogram-based brain-computer interfaces system using an attempted walking/idling control strategy. He also underwent muscle reconditioning to facilitate standing and overground walking with a commercial functional electrical stimulation system (FES). During the course of 19 weeks, the participant performed 30 real-time, BCI-FES controlled overground walking tests, and demonstrated the ability to purposefully operate the BCI-FES system by following verbal cues. Based on the comparison between the ground truth and decoded BCI states, he achieved information transfer rates >3 bit/s and correlations >0.9. No adverse events directly related to the study were observed.