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Preview of NASA’s Double Asteroid Redirection Test, or DART, the first asteroid deflection mission.

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

The circuits are found in several forms and in different locations. Some offer faster creation of new AI models. They use multiple processing circuits in parallel to churn through millions, billions or even more data elements, searching for patterns and signals. These are used in the lab at the beginning of the process by AI scientists looking for the best algorithms to understand the data.

Quantum computers have the potential to vastly exceed the capabilities of conventional computers for certain tasks. But there is still a long way to go before they can help to solve real-world problems. Many applications require quantum processors with millions of quantum bits. Today’s prototypes merely come up with a few of these compute units.

“Currently, each individual is connected via several signal lines to control units about the size of a cupboard. That still works for a few qubits. But it no longer makes sense if you want to put millions of qubits on the chip. Because that’ s necessary for ,” says Dr. Lars Schreiber from the JARA Institute for Quantum Information at Forschungszentrum Jülich and RWTH Aachen University.

At some point, the number of signal lines becomes a bottleneck. The lines take up too much space compared to the size of the tiny qubits. And a quantum chip cannot have millions of inputs and outputs—a modern classical chip only contains about 2,000 of these. Together with colleagues at Forschungszentrum Jülich and RWTH Aachen University, Schreiber has been conducting research for several years to find a solution to this problem.

Science may be getting closer to figuring out where consciousness resides in the brain. New research demonstrates the significance of certain kinds of neural connections in identifying consciousness.

Jun Kitazono, a corresponding author of the study and project researcher at the Department of General Systems Studies at the University of Tokyo, conducted the study, which was published in the journal Cerebral Cortex.

“Where in the brain consciousness resides has been one of the biggest questions in science,” said Associate Professor Masafumi Oizumi, corresponding author and head of the lab conducting the study. “Although we have not reached a conclusive answer, much empirical evidence has been accumulated in the course of searching for the minimal mechanisms sufficient for conscious experience, or the neural correlates of consciousness.”

Scientists from Google DeepMind have been awarded a $3 million prize for developing an artificial intelligence (AI) system that has predicted how nearly every known protein folds into its 3D shape.

One of this year’s Breakthrough Prizes in Life Sciences went to Demis Hassabis, the co-founder and CEO of DeepMind, which created the protein-predicting program known as AlphaFold, and John Jumper, a senior staff research scientist at DeepMind, the Breakthrough Prize Foundation announced (opens in new tab) Thursday (Sept. 22).