Lifeboat Foundation

The color centers of diamond are the focus of an increasing number of research studies, due to their potential for developing quantum technologies. Some works have particularly explored the use of negatively-charged group-IV diamond defects, which exhibit an efficient spin-photon interface, as the nodes of quantum networks.

Researchers at Ulm University in Germany recently leveraged a Germanium vacancy (GeV) center in diamond to realize a quantum memory. The resulting quantum memory, presented in a Physical Review Letters paper, was found to exhibit a promising coherence time of more than 20 ms.

“Our research group’s primary focus is the exploration of diamond color centers for quantum applications,” Katharina Senkalla, co-author of the paper, told Phys.org. “The most popular defect of diamond so far has been the nitrogen-vacancy center, but, recently, other color centers have also become a focus of research. These consist of an element from the IV column of the periodic table—Si, Ge, Sn or Pb, and a lattice vacancy (i.e., missing next-neighbor carbon atom).”

In the pursuit of sustainable energy solutions, the quest for more efficient solar cells is paramount. Organic photovoltaic cells have emerged as a promising alternative to traditional silicon-based counterparts due to their flexibility and cost-effectiveness. However, optimizing their performance remains a significant challenge.

In a pioneering move, new research from Abdullah Gül University (Türkiye) reimagines the structure of organic photovoltaic cells, opting for a hemispherical shell shape to unlock unprecedented potential in light absorption and angular coverage.

As reported in the Journal of Photonics for Energy, this innovative configuration aims to maximize light absorption and angular coverage, promising to redefine the landscape of renewable energy technologies. The study presents advanced computational analysis and comparative benchmarks to spotlight the remarkable capabilities of this new design.

Recent research has broken the size limitation of traditional ferroelectric effects, providing experimental evidence and theoretical simulations to confirm that a structure with as few as 5,000 atoms can still exhibit solid-state ferroelectric effects.

The studies, by a joint team from Israel and China, are published in Nature Electronics and Nature Communications under the titles “Ferroelectricity in zero-dimensional” and “0D van der Waals interfacial sliding Ferroelectricity,” respectively.

The ferroelectric effect is a physical phenomenon discovered in the early 20th century by Joseph Valasek, and it provides an important technological route for achieving information storage. Traditional ferroelectric effects are subject to size limitations.

The aliens haven’t contacted us because they have uploaded themselves into digital information where they live forever anf create simulated universes that they live in or they upload themselves into femto tech level computational substrates and they could surround us.

Is Earth impossible? An exploration of the impossible earth hypothesis and its implications on science and existence.

Continue reading “Fermi Paradox: The Impossible Earth hypothesis” »

This CU Cancer Center symposium was presented by Sandra McAllister, PhD, assistant professor of medicine at the Harvard Medical School, and associate scientist at Brigham \& Women’s Hospital.

Audio samples for the paper “BASE TTS: Lessons from building a billion-parameter text-to-speech model on 100K hours of data”

Abstract: We introduce a text-to-speech (TTS) model called BASE TTS, which stands for Big Adaptive Streamable TTS with Emergent abilities. BASE TTS is the largest TTS model to-date, trained on 100K hours of public domain speech data, achieving a new state-of-the-art in speech naturalness. It deploys a 1-billion-parameter autoregressive Transformer that converts raw texts into discrete codes (“speechcodes”) followed by a convolution-based decoder which converts these speechcodes into waveforms in an incremental, streamable manner. Further, our speechcodes are built using a novel speech tokenization technique that features speaker ID disentanglement and compression with byte-pair encoding. Echoing the widely-reported “emergent abilities” of large language models when trained on increasing volume of data, we show that BASE TTS variants built with 10K+ hours and 500M+ parameters begin to demonstrate natural prosody on textually complex sentences.

A limited test that you control.

* All-In Podcast: E166: Mind-blowing AI Video: OpenAI launches Sora, Biden too old? more * AI Explained: Sora – Full Analysis (with new details) * AI Explained: Gemini 1.5 and The Biggest Night in AI – YouTube.

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We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.