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Japanese researchers have created a smart face mask that has a built in speaker and can translate speech into 8 different languages.

We live in a world full of technology but it was a world without smart masks, until now!

A Japanese technology company Donut Robotics has taken the initiative to create the first smart face masks which connects to your phone. Of course, we couldn’t have battled coronavirus with a simple mask that still does the job of protecting us perfectly well. We as a race need to bring technology into everything and more so if it does an array of extremely important, life-saving things like using a speaker to amplify a person’s voice, covert a person’s speech into text and then translate it into eight different languages through a smartphone app.

No one wants to walk with a walker, but age has a way of making people compromise on their quality of life. The team behind Superflex, which spun out of SRI International in May, thinks there could be another way.

The company is building wearable robotic suits, plus other types of clothing, that can make it easier for soldiers to carry heavy loads or for elderly or disabled people to perform basic tasks. A current prototype is a soft suit that fits over most of the body. It delivers a jolt of supporting power to the legs, arms, or torso exactly when needed to reduce the burden of a load or correct for the body’s shortcomings.

A walker is a “very cost-effective” solution for people with limited mobility, but “it completely disempowers, removes dignity, removes freedom, and causes a whole host of other psychological problems,” SRI Ventures president Manish Kothari says. “Superflex’s goal is to remove all of those areas that cause psychological-type encumbrances and, ultimately, redignify the individual.”

Circa 2017


This bubbly concept car protects more than the driver; its next-generation rubber exterior can save pedestrians, too.

Traditional metal panels are replaced with soft rubber, which absorbs the impact of a collision. The car is also a shapeshifter, meaning that the rubber panels move and flex, forming a more aerodynamic shape.

The futuristic concept was recently showcased at the Tokyo Motor Show, which also featured artificially intelligent cars and electric vehicles. But none as adorable as this rubbery car.

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A new gadget called the OpenCV AI Kit, or OAK, looks to replicate the success of Raspberry Pi and other minimal computing solutions, but for the growing fields of computer vision and 3D perception. Its new multi-camera PCBs pack a lot of capability into a small, open-source unit and are now seeking funding on Kickstarter.

The OAK devices use their cameras and onboard AI chip to perform a number of computer vision tasks, like identifying objects, counting people, finding distances to and between things in frame and more. This info is sent out in polished, ready-to-use form.

Having a reliable, low-cost, low-power-draw computer vision unit like this is a great boon for anyone looking to build a smart device or robot that might have otherwise required several and discrete cameras and other chips (not to mention quite a bit of fiddling with software).

I will post a bunch of links to things people can do at home while under lockdown. This is one of my favorite sites. Feel free to check it out and post from it as well.

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

Robotic landers and rovers have been touching down on Mars since the 1970s, but when will humanity finally set foot on the Red Planet?

Experts believe the technical challenges are nearly resolved, but political considerations make the future of any crewed mission uncertain.

NASA’s human lunar exploration program, Artemis, envisions sending people back to the Moon by 2024 and using the experience gained there to prepare for Mars.

Recently, Tesla filed a patent called ‘Systems and methods for adapting a neural network on a hardware platform.’ In the patent, they described the systems and methods to select a neural network model configuration that satisfies all constraints.

According to the patent, the constraints mainly include an embodiment that computes a list of valid configurations and a constraint satisfaction solver to classify valid configurations for the particular platform, where the neural network model will run efficiently.

The Reason Behind the Patent.