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IBM in collaboration with UC Berkeley researchers announced a recent breakthrough experiment which indicates that quantum computers will soon surpass classical computers in practical tasks.

Now, the company is taking another major step that has never been done before by it. The company is making the 127-qubit quantum computer publicly available over IBM Cloud.

The IBM researchers measured the noise in each qubit and extrapolated their measurements to predict the system’s behaviour without noise. They successfully ran calculations involving all 127 qubits of the Eagle processor, marking the largest reported experiment of its kind.

Understanding the mechanisms of interaction between plasma and microparticles is of a critical importance in various fields, including astrophysics, microelectronics, and plasma medicine. A common experimental approach for studying interactions between plasma and microparticles is to place microparticles in a flowing plasma of a gas discharge. In order to achieve a more accurate understanding of the processes occurring in such systems, scientists need fast and efficient tools for calculating forces acting on microparticles in a plasma flow.

Typically, -physicists have to independently develop software tailored to a , which is a significant investment of time and resources. Existing open-source programs frequently encounter challenges related to installation, documentation, and sluggish performance. A group of scientists from the JIHT, the HSE and, MIPT have developed a novel solution: a fast, open-source code which is easy to install and extensively documented.

The outcome—OpenDust—performs ten times faster than existing analogues. In order to accelerate calculations, the algorithm uses multiple GPUs simultaneously.

Researchers have created a small device that “sees” and creates memories in a similar way to humans, in a promising step towards one day having applications that can make rapid, complex decisions such as in self-driving cars.

The neuromorphic invention is a enabled by a sensing element, doped indium oxide, that’s thousands of times thinner than a human hair and requires no external parts to operate.

RMIT University engineers in Australia led the work, with contributions from researchers at Deakin University and the University of Melbourne.

In my new Newsweek Op-Ed, I tackle a primary issue many people have with trying to stop aging and death via science. Hopefully this philosophical argument will allow more resources & support into the life extension field:


Philosophers often say if humans didn’t die, we’d be bored out of our minds. This idea, called temporal scarcity, argues the finitude of death is what makes life worth living. Transhumanists, whose most urgent goal is to use science to overcome biological death, emphatically disagree.

For decades, the question of temporal scarcity has been debated and analyzed in essays and books. But an original idea transhumanists are putting forth is reinvigorating the debate. It doesn’t discount temporal scarcity in biological humans; it discounts it in what humans will likely become in the future—cyborgs and digitized consciousnesses.

The traditional temporal scarcity argument against immortality imagines the human being remaining biologically the same as it has for tens of thousands of years. Yet the human race is already augmenting the human body with radical technology. Globally, over 200,000 people already have brain implants, and Silicon Valley companies like Elon Musk’s Neuralink are working on trying to get millions of us to become cyborgs.

A growing number of experts even believe by the end of the century, humans will likely have the ability to upload the brain and its consciousness into a computer. In the process, digitized people will overcome biological death and engage in far more complex ways of being, including grand new designs of consciousness and selfhood.

Early Dark Energy Spectroscopic Instrument (DESI) release holds nearly two million objects, including distant galaxies, quasars and stars in our own Milky Way.

Dark Energy Spectroscopic Instrument (DESI), the most robust multi-object survey spectrograph, capable of mapping more than 40 million galaxies, quasars, and stars, recorded an 80-terabyte data set this Tuesday.

The data was collected after 2,480 exposures taken over six months during the experiment’s “survey validation” phase in 2020 and 2021, said Lawrence Berkeley National Lab.