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BRUSSELS — Three of Europe’s biggest satellite fleet operators — SES, Eutelsat and Hispasat — explained why they are investing in the European Commission’s Iris2 multi-orbit satellite constellation, designed as a public-private partnership with the Commission and the 22-nation European Space Agency (ESA).

Three weeks before their SpaceRise consortium’s best-and-final bid is due, these companies said Iris2 gives them part ownership in a global medium-and low-Earth-orbit network whose capex is mainly government funded.

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Electrons that spin to the right and the left at the same time. Particles that change their states together, even though they are separated by enormous distances. Intriguing phenomena like these are completely commonplace in the world of quantum physics. Researchers at the TUM Garching campus are using them to build quantum computers, high-sensitivity sensors and the internet of the future.

“We cool the chip down to only a few thousandths of a degree above absolute zero—colder than in outer space,” says Rudolf Gross, Professor of Technical Physics and Scientific Director of the Walther Meissner Institute (WMI) at the Garching research campus. He’s standing in front of a delicate-looking device with gold-colored disks connected by cables: The cooling system for a special chip that utilizes the bizarre laws of quantum physics.

For about twenty years now, researchers at WMI have been working on quantum computers, a technology based on a scientific revolution that occurred 100 years ago when quantum physics introduced a new way of looking at physics. Today it serves as the foundation for a “new era of technology,” as Prof. Gross calls it.

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13 citations in the Web of Science Core Collection.

Classical and Quantum Gravity Published by IOP Publishing Indexed in the Web of Science Core Collection Engages in Transparent Peer Review.

By Chuck Brooks

Computing paradigms as we know them will exponentially change when artificial intelligence is combined with classical, biological, chemical, and quantum computing. Artificial intelligence might guide and enhance quantum computing, run in a 5G or 6G environment, facilitate the Internet of Things, and stimulate materials science, biotech, genomics, and the metaverse.

Computers that can execute more than a quadrillion calculations per second should be available within the next ten years. We will also rely on clever computing software solutions to automate knowledge labor. Artificial intelligence technologies that improve cognitive performance across all envisioned industry verticals will support our future computing.

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The Glaze/Nightshade team, for its part, denies it is seeking destructive ends, writing: Nightshade’s goal is not to break models, but to increase the cost of training on unlicensed data, such that licensing images from their creators becomes a viable alternative.

In other words, the creators are seeking to make it so that AI model developers must pay artists to train on data from them that is uncorrupted.

How did we get here? It all comes down to how AI image generators have been trained: by scraping data from across the web, including scraping original artworks posted by artists who had no prior express knowledge nor decision-making power about this practice, and say the resulting AI models trained on their works threatens their livelihood by competing with them.

Combining three OLED light sources to mimic white light has reduced interference and bit error rates.

Radar altimeters are the sole indicators of altitude above a terrain. Spectrally adjacent 5G cellular bands pose significant risks of jamming altimeters and impacting flight landing and takeoff. As wireless technology expands in frequency coverage and utilizes spatial multiplexing, similar detrimental radio-frequency (RF) interference becomes a pressing issue.

To address this interference, RF front ends with exceptionally low latency are crucial for industries like transportation, health care, and the military, where the timeliness of transmitted messages is critical. Future generations of wireless technologies will impose even more stringent latency requirements on RF front-ends due to increased data rate, carrier frequency, and user count.

Additionally, challenges arise from the physical movement of transceivers, resulting in time-variant mixing ratios between interference and signal-of-interest (SOI). This necessitates real-time adaptability in mobile wireless receivers to handle fluctuating interference, particularly when it carries safety-to-life critical information for navigation and autonomous driving, such as aircraft and ground vehicles.

The internet’s steady fall into the AI-garbled dumpster continues. As Vice reports, a recent stud y conducted by researchers at the Amazon Web Services (AWS) AI Lab found that a “shocking amount of the web” is already made up of poor-quality AI-generated and translated content.

The paper is yet to be peer-reviewed, but “shocking” feels like the right word. According to the study, over half — specifically, 57.1 percent — of all of the sentences on the internet have been translated into two or more other languages. The poor quality and staggering scale of these translations suggest that large language model (LLM)-powered AI models were used to both create and translate the material. The phenomenon is especially prominent in “lower-resource languages,” or languages with less readily available data with which to more effectively train AI models.

In other words, in what the researchers believe to be a ploy to garner clickbait-driven ad revenue, AI is being used to first generate poor-quality English-language content at a remarkable scale, and then AI-powered machine translation (MT) tools transcribe said content into several other languages. The translated material gets worse each time — and as a result, entire regions of the web are filling to the brim with degrading AI-scrambled copies of copies.