Lifeboat Foundation

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.

* V-JEPA: The next step toward advanced machine intelligence * Marc Raibert: Boston Dynamics and the Future of Robotics | Lex Fridman Podcast #412 * Two Minute Papers: OpenAI Sora: The Age Of AI Is Here!

Continue reading “* Matt Wolfe: Most Insane Week of AI News So Far This Year!” »

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.

Apple is working on a new feature for its Xcode development environment that could make coding a breeze for developers. The feature, reportedly similar to Microsoft’s GitHub Copilot, will use artificial intelligence to suggest and complete blocks of code in real time.

Generative AI for Xcode

According to Bloomberg, Apple is also looking into using AI to generate code for testing applications, which can be a time-consuming and tedious task for developers. The company is testing the new tools internally before launching them to the public, possibly later this year.