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Sony has announced that it intends to integrate its Aitrios edge computing (on-chip) AI platform into future iterations of the Rasberry Pi.

The highly popular Rasberry Pi will soon get artificial intelligence (AI) functions, according to an announcement from Sony. In what it has called a “strategic investment,” Sony decided to bring its AI technology to a broader market.

This announcement comes hot off the heels of other news that Raspberry Pi Limited, the UK-based company and creators of the Raspberry Pi, secured an undisclosed investment from Sony Semiconductor Solutions, a subsidiary of Sony Corporation.

Jeesoen/iStock.

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Along with ‘Spot’ the Digidog, the New York Police Department has revealed other new security technologies to improve safety in New York.

The New York Police Department (NYPD) is taking crime control, and public security to the next level by introducing a variety of crime-fighting robots to patrol subway stations throughout New York.

Along with Digidog, the NYPD has revealed a few other new security technologies to improve safety in New York.

NYC’s Mayor Office.

Two robotic dogs have joined the ranks of the New York Police Department (NYPD). They were unveiled at the Times Square on April 11.

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The protoplanet was found surrounding HD 169,142, a star located 374 light years from our solar system.

Astronomers have caught a rare glimpse of a planet’s formation. This is only the third time scientists have discovered a protoplanet — an early stage in forming a planet, where cosmic material clumps in a disk surrounding newborn stars.

The observation of new protoplanet.

NASA/JPL-Caltech.

The protoplanet surrounded HD 169,142, a star located 374 light years from our solar system. PDS 70 b and c are the other two recorded protoplanets, which orbit the star PDS 70.

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This could lead to chat gpt infinite ♾️ ✨️

Machine learning is a fascinating and exciting field within computer science. Recently, this excitement has been transferred to the quantum information realm. Currently, all proposals for the quantum version of machine learning utilize the finite-dimensional substrate of discrete variables. Here we generalize quantum machine learning to the more complex, but still remarkably practical, infinite-dimensional systems. We present the critical subroutines of quantum machine learning algorithms for an all-photonic continuous-variable quantum computer that can lead to exponential speedups in situations where classical algorithms scale polynomially. Finally, we also map out an experimental implementation which can be used as a blueprint for future photonic demonstrations.

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Developing new quantum devices relies on controlling how electrons behave. A material called graphene, a single layer of carbon atoms, has fascinated researchers in recent years because its electrons behave as if they have no mass. For decades, scientists have also been interested in high-temperature superconductors: ceramic materials where electron interactions yield a macroscopic quantum state where electrons pair with each other. They do so at a temperature above the usual superconducting temperature of metals, which approaches absolute zero.

In a recent study published in Physical Review Letters, researchers from the SUNY Polytechnic Institute, Stony Brook University and the Brookhaven National Laboratory in the US, along with Aalto University in Finland, demonstrated a new electronic device that employs the unique ways in which electrons behave in these two materials— and high-temperature superconductors.

The experiment, led by Sharadh Jois and Ji Ung Lee from SUNY with the support of theoretical work done by Jose Lado, assistant professor at Aalto, demonstrated a new quantum device that combines both graphene and an unconventional high-temperature superconductor.

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