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Scientists from Wake Forest Baptist Medical Center partnered with researchers from the University of Southern California to develop an innovative procedure to give hope to people struggling with remembering important information. A new implant uses a person’s own memory patterns in order to boost the brain’s natural ability to encode those memories and recall them quickly. There has been a reported 35 to 37 % increase in short-term memory performance.

“This is the first time scientists have been able to identify a patient’s own brain cell code or pattern for memory and, in essence, ‘write in’ that code to make existing memory work better, an important first step in potentially restoring memory loss,” said the study’s lead author Robert Hampson, Ph.D., professor of physiology/pharmacology and neurology at Wake Forest Baptist.

Epilepsy patients from Wake Forest Baptist were surgically implanted with electrodes in the various parts of their brains. The electronic prosthetic system is based on a multi-input-multi-output (or MIMO) mathematical model to influence the patterns of neurons firing within the hippocampus.

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Researchers at Caltech have induced a range of sensations in the arm of a paralyzed man. The breakthrough comes courtesy of electrodes implanted in the brain, which stimulated the neurons to produce different feelings depending on the type of electrical signals. The team says the research could eventually lead to advanced prosthetic limbs that allow users to feel realistic sensations through them.

Plenty of exciting research is being conducted to help paralyzed people regain control of and feeling in their limbs. The NeuroLife system has helped a quadriplegic man move his arms again using just his thoughts, allowing him to perform a number of actions. Electrical nerve stimulation, both with and without electrode implants, has helped several people voluntarily move their legs again, often for the first time in years.

In this new study, Caltech researchers implanted two tiny arrays of electrodes into the somatosensory cortex, the small region of the brain responsible for the body’s sensations of movement or position, as well as cutaneous sensations such as touch, pressure and vibration.

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This one’s kinda hard to swallow so take a deep breath, open your minds, and pretend it’s 2100. I CONTACT is essentially a mouse fitted to your eyeball. The lens is inserted like any other normal contact lens except it’s laced with sensors to track eye movement, relaying that position to a receiver connected to your computer. Theoretically that should give you full control over a mouse cursor. I’d imagine holding a blink correlates to mouse clicks.

The idea was originally created for people with disabilities but anyone could use it. Those of us too lazy to use a mouse now have a free hand to do whatever it is people do when they sit at the computer for endless hours. I love the idea but there is a caveat. How is the lens powered? Perhaps in the future, electrical power can be harnessed from the human body, just not in a Matrix creepy-like way.

Designers: eun-gyeong gwon & eun-jae lee.

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Push Beyond Your Limits. Go Stronger, Longer, and Safer.

Experience the first of its kind robotic powered exoskeleton to superpower your knees during alpine skiing and snowboarding. The sensors and the software on the exoskeleton senses user intent and automatically adjusts torque at the knee via air actuators effectively mimicking the quadricep muscles. The device is fully programmable and automated but with manual overrides thus always keeping user in control.

Extend your ski day, access longer challenging terrain, make stronger turns, or simply enjoy the sport without the pain. All the while keeping your knees safer.

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More than 200 artificial intelligence startups applied for Nvidia’s Inception contest, which seeks to identify the best AI startups. The company created the program to find new uses for its graphics processing units (GPUs), but it’s also hoping these startups will change the world.

So far, the company has identified more than 2,800 AI startups over the years through Inception. I listened to pitches from 12 finalists in a Shark Tank styled judging event last week. Each is competing to be one of three finalists to share the $1 million prize pool.

“We’re trying to enable our ecosystem of deep learning neural networks,” said Nvidia CEO Jensen Huang, as he introduced a panel of four judges. The 12 semi-finalists gave their 8-minute pitches, six finalists were selected, and the final winners will be picked at the company’s GPU Technology Conference on March 27 in San Jose, California. They ranged from AI for bionic arms to faster, cheaper, and more accurate magnetic resonance imaging (MRI) scans.

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