Toggle light / dark theme

Researchers discovered that people respond to stimuli differently enough that it is possible to create a unique signature, a brainprint, that could one day replace fingerprints in a number of instances.

For the longest time, the world has relied on fingerprints as a way to easily identify individuals. This is because a fingerprint is unique (and permanent) for each person—so what happens when someone’s fingerprint is stolen? This may sound a little farfetched, but it is easy enough to take a fingerprint from another, you just need to swipe a glass that they held.

And of course, you can’t grow a new finger to replace the print. This means that, when it gets compromised, it’s compromised forever. But now, researchers from Binghamton University have found a more efficient way to identify people—using brain waves.

Read more

The world’s first graphene-based electronic paper for use in both hard and flexible displays for electronic devices has been developed in China.

Electronic paper display company Guangzhou OED Technologies announced it has developed the graphene-based e-paper, which it described as being more pliable and having higher light transmittance than existing types of e-paper.

As a result, graphene-based displays would be brighter but also cheaper, as graphene is based on the abundant element carbon, the firm said. Conventional e-paper is made of the rather costly rare metal indium.

Read more

Movidius’ Myriad 2 vision processing chip (Photo: Movidius)

The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.

That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.

Read more

This is concerning in what is being proposed in the US for doctor report errors and it’s whole timing. Why now? I mean why wait to report on this when this has been known about for many decades plus mistakes today are actually a lot less than they were 2 decades ago thanks to medical records, and the self-monitor/ medicated drip devices, etc. My guess is this is part of a huge push by some to replace doctors and medical teams with more AI which in the US patients have been blocking AI to treat them due to their own distrust of AI.

Now, if US Laws are in place requiring doctors to publish, report, etc. their errors for the 1st time in the US it does help build case to the public and conditions the public to rethink their position on AI.

I am just not buying “the experts’” report stats given that he has no official records to back up his report especially detail records for the past 40 years showing doctors openly reporting any mistakes they made in the 70s, 80s or 90s when the equipment was poorer plus medical records in many situations were not always digital and could be easily lost in the 70s and 80s.


Medical error is the third leading cause of death in the US after heart disease and cancer, say experts in The BMJ today.