A Texas-based startup has raised US$4.5 million in seed funding to develop and commercialize a remarkable electric motor technology. The father/son team claims the design can massively reduce the size and complexity of electric powertrains while also significantly boosting efficiency and doubling the torque output.
A software engineer has built an impressive real-time counter-surveillance tool for Tesla vehicles on top of Sentry Mode.
It looks like something the CIA or James Bond would have in their car.
Polly takes a trip to Oregon USA to meet up with Charles Greenwood and take a spin in his human powered car.
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A breakthrough in understanding how the quasi-particles known as magnetic monopoles behave could lead to the development of new technologies to replace electric charges.
Researchers at the University of Kent applied a combination of quantum and classic physics to investigate how magnetic atoms interact with each other to form composite objects known as ‘magnetic monopoles’.
Basing the study on materials known as Spin Ices, the team showed how the ‘hop’ of a monopole from one site in the crystal lattice of Spin Ice to the next can be achieved by flipping the direction of a single magnetic atom.
Check out new gameplay for XCOM 2 featured at E3 2015.
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DNA combined with the study of family history has been used to solve high-profile cold cases such as the Golden State Killer. Now, volunteers are using the technique to identify crime victims.
Amazon’s controversial facial recognition technology, called Rekognition, has a new skill. It can now spot fear. The company says it recently launched updates to Rekognition’s facial analysis features, including improved age estimation and the addition of fear to its emotion detection.
“We have improved accuracy for emotion detection (for all 7 emotions: ‘Happy,’ ‘Sad,’ ‘Angry,’ ‘Surprised,’ ‘Disgusted,’ ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear,’” according to an update from Amazon on Monday. “Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”
The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers – harnessed to algorithms refined over the past decade – are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers.
In the future, we may have to deal with biological weapons that target specific groups of people, passing over everyone else.
That’s according to a new report out of Cambridge University’s Centre for the Study of Existential Risk reviewed by The Telegraph. In it, the Cambridge researchers argue that world governments have failed to prepare for futuristic weapons based on advanced technology like artificial intelligence and genetic manipulation — or even a killer pathogen designed to kill only people of a particular race.
