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Researchers in Japan have developed a diamond FET with high hole mobility.


In the 1970s, Stephen Hawking found that an isolated black hole would emit radiation but only when considered quantum mechanics. This is known as black hole evaporation because the black hole shrinks. However, this led to the black hole information paradox.

If the black hole evaporates entirely, physical information would permanently disappear in a black hole. However, this violates a core precept of quantum physics: the information cannot vanish from the Universe.

A new study by an international quartet of physicists suggests that black holes are more complex than originally understood. They have a gravitational field that, at the quantum level, encodes information about how they were formed.

If the black hole evaporates entirely, physical information would permanently disappear in a black hole. However, this violates a core precept of quantum physics: the information cannot vanish from the Universe.

A new study by an international quartet of physicists suggests that black holes are more complex than originally understood. They have a gravitational field that, at the quantum level, encodes information about how they were formed.

The research team includes Professor Xavier Calmet from the University of Sussex School of Mathematical and Physical Sciences, Professor Roberto Casadio (INFN, University of Bologna), Professor Stephen Hsu (Michigan State University), along with Ph.D. student Folkert Kuipers (University of Sussex). Their study significantly improves understanding of black holes and resolves a problem that has confounded scientists for nearly half a century; the black hole information paradox.

NASA is providing seed money to researchers to develop a number of innovative technologies. One is portable oxygen generation to allow future Mars explorers to breathe without carrying a bulky air supply.


It is one of 17 NASA Space Technology Mission Directorate projects being funded to develop new breakthroughs for both humans and robots.

Researchers have developed a mind-reading system for decoding neural signals from the brain during arm movement. The method, described in the journal Applied Soft Computing, can be used by a person to control a robotic arm through a brain-machine interface (BMI).

A BMI is a device that translates into commands to control a machine, such as a computer or a robotic limb. There are two main techniques for monitoring neural signals in BMIs: electroencephalography (EEG) and electrocorticography (ECoG).

The EEG exhibits signals from on the surface of the scalp and is widely employed because it is non-invasive, relatively cheap, safe and easy to use. However, the EEG has low spatial resolution and detects irrelevant neural signals, which makes it difficult to interpret the intentions of individuals from the EEG.

An advanced bionic arm can be life-changing for a person with an upper limb amputation. But in India, with a population of nearly 1.4 billion and average income of just $2,000 a year, advanced prosthetics are financially out of reach for many amputees.

So the Indian startup Makers Hive developed one that’s not only 90% cheaper, but also more functional.

Advanced prosthetics: A bionic arm contains sensors that press against the skin of the wearer’s residual limb to detect electrical signals from their nerves.

The 3D-printed, lightweight KalArm is the result of those efforts. It features 16 grips, customizable panels, and a companion app, which can be used to monitor the arm’s performance, as well as install firmware updates.