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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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‘Cyborg legs’ you can control with your MIND could help people learn to walk again after spinal injuries…


There could soon be real-life cyborgs walking among us.

A Japanese robotics firm recently received approval from the FDA to bring its futuristic HAL Robot Suit to the U.S.

Cyberdyne has been developing the Hybrid Assistive Limb (HAL) for nearly a decade, but only now has the firm been able to bring the technology stateside.

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