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QRIO: The Robot That Could

A technical marvel, Sony’s biped humanoid promises to revolutionize home entertainment

4 min read
Photo of Qrio, the biped humanoid robot from Sony Corp., Tokyo.
Roll Over, Beethoven: Qrio, which stands for Quest for Curiosity, is a creature of many talents. Earlier this year it conducted the Tokyo Philharmonic Orchestra in a rehearsal of Beethoven’s Fifth Symphony, which was performed a few days later in Tokyo’s Bunkamura Hall at a concert for children.
Photo: Kyodo

He has played golf at a pro tournament in Hawaii, acted in the Japanese TV show “Astro Boy,” danced and sung on stages from Las Vegas to Hong Kong, and even conducted the Tokyo Philharmonic Orchestra in a rousing rendition of Beethoven’s Fifth Symphony. And he’s barely a year old and not quite 60 centimeters tall.

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Dialing Down a Quantum Compute Glitch by 100,000x

A low-key solution to qubits’ cosmic ray problem

3 min read
Conceptual computer artwork of electronic circuitry contained within spheres against beams of light, representing how data may be controlled and stored in a quantum computer.
Mehau Kulyk/Science Source

The kind of quantum computers that IBM, Google and Amazon are building suffer catastrophic errors roughly once every 10 seconds due to cosmic rays from outer space. Now a new study reveals a way to reduce this error rate by nearly a half-million-fold to less than once per month.

Quantum computers theoretically can find answers to problems no regular computer might ever hope to solve. Their key ingredients, known as quantum bits, or qubits, are linked together by a quantum effect known as entanglement.

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Deep Learning Gets a Boost From New Reconfigurable Processor

The ReAAP processor allows AI to be faster, more efficient

2 min read
different colored beams of light shooting up
iStock

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.

Deep learning is a critical computing approach that is pushing the boundaries of technology – crunching immense amounts of data and uncovering subtle patterns that humans could never discern on their own. But for optimal performance, deep learning algorithms need to be supported with the right software compiler and hardware combinations. In particular, reconfigurable processors, which allow for flexible use of hardware resources for computing as needed, are key.

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3 min read

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