>
The Great Rotation Has Begun... Here's How to Make Your Money Back
Blue Origin plans to fly New Glenn rocket again this year despite massive rocket explosion
Through Technology, a Centuries-Old Battle Is Coming to a Head
Chinese cars go blacker than black via hybrid nano tech
'Groundbreaking' Potential Lupus Cure Sends Patients into Remission, Allowing Dreams...
Speculations on What Could Show Physics Beyond the Standard Model
SpaceX Orbital Travel and Orbital Hotels Need Starfall – Getting Back Safe and Cheap is Exciting
Lizard-inspired wiggly wheels let Mars rover swim through sand
Fact Sheet: President Donald J. Trump Ushers in the Next Frontier of Quantum Innovation
Researchers at Johns Hopkins University just let an AI-guided robot remove a dead pig's gallblad
World's first consumer wing-in-ground effect aircraft takes flight
America's Military Readiness Depends On Deployable Nuclear Power
License Plate Cameras Are About To Start Tracking A Lot More Than Just Your Car
Heads up: Apparently the government is hiding cameras inside fake utility boxes

Facial recognition technology can determine a person's personality by analysing an emotionless selfie, a study claims.
Researchers built an artificial neural network that assessed 128 different factors of a person's face, such as the width of the mouth and the height of the lips or eyes.
It used the data from these readings to categorise a person based on five personality traits: conscientiousness, neuroticism, extraversion, agreeableness, and openness.
When compared to questionnaires filled in by the volunteers, the AI was accurate 58 per cent of the time.
Researchers say pure chance would get this right 50 per cent of the time and humans are less consistent than the facial recognition method.
Scientists used a well-established method to categorise personalities, using the so-called 'Big Five' traits.
The system was found to be more accurate on women than on men and was best at recognising conscientiousness.
A total of 12,000 volunteers uploaded 31,000 selfies in total an and these were split into two groups.
One was used to train the AI system and the other group was sued to test the network.