Lifeboat Foundation

Calabi-Yau manifolds, 6D shapes that are crucial to string theory, were named after the late Eugenio Calabi (right), who proposed the shapes in the 1950s, and Shing-Tung Yau, who in the 1970s set out to prove Calabi wrong but ended up doing the opposite.

Using machine learning, string theorists are finally showing how microscopic configurations of extra dimensions translate into sets of elementary particles — though not yet those of our universe.

China’s first Sora-level text-to-video large model Vidu was unveiled at the 2024 Zhongguancun Forum in Beijing on Saturday, intensifying the artificial intelligence competition globally.

Vidu, developed by Chinese AI firm Shengshu Technology and Tsinghua University, told China Daily that the model can create a high-definition video 16 seconds long and 1080p resolution in just one click.

The company said that it is China’s first inaugural video large model with extended duration, exceptional consistency, and dynamic capabilities and is “very close to” the level of Sora.

An antibody screen of two distinct multiple sclerosis cohorts reveals an autoantibody signature that is detectable years before symptom onset and linked to a common microbial motif, according to a paper in Nature Medicine. Read the paper:

Abstract. In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade’s pressing medical and technological challenges.

AI agents are part of the industry’s broader effort to turn the excitement ChatGPT sparked into recurring revenue for a slew of companies that sell such technology.

As many businesses remain cautious about spending on conversational artificial intelligence, AI providers such as Microsoft, OpenAI and Google are racing to make the technology more of a must-have—by introducing new features that can handle complex tasks with little guidance from the customer.

Microsoft, for instance, is making software to automate multiple actions such as creating, sending and tracking a client invoice based on their order history or rewriting an application’s code in a different language and verifying that it works as intended, according to current employees. The new software, which OpenAI’s technology will power, would improve upon Microsoft’s current suite of Copilots, which summarize meetings or draft emails. Microsoft is planning to announce some of these capabilities at its annual Build developer conference next month, two of the employees said.

Continue reading “To Unlock AI Spending, Microsoft, OpenAI and Google Prep ‘Agents’” »

A recent study published in the journal Nature by an international team of 279 scientists, including three biologists from the University of Michigan, provides the latest insights into the flowering plant tree of life.

Using 1.8 billion letters of genetic code from more than 9,500 species covering almost 8,000 known flowering plant genera (ca. 60%), this achievement sheds new light on the evolutionary history of flowering plants and their rise to ecological dominance on Earth.

Led by scientists at the Royal Botanic Gardens, Kew, the research team believes the data will aid future attempts to identify new species, refine plant classification, uncover new medicinal compounds, and conserve plants in the face of climate change and biodiversity loss.

Imagine you’re in a car, pedal to the metal, racing down the highway, but no matter how hard you push, you can’t surpass the speed of the car next to you, which is effortlessly cruising at the same pace. Now, replace the car with light, and you have a real cosmic conundrum: why can’t anything go faster than light?

Back in 1905, Albert Einstein turned the world of physics upside down with his theory of relativity. This wasn’t just about E=mc² or the bending of space-time; it was about something that touches everything we do: the speed of light, which is roughly 299,792 kilometers per second. According to relativity, no matter how fast you’re moving towards or away from a light source, you will always measure the speed of light at the same constant velocity.

Continue reading “Why Can’t We Go Faster Than Light?” »

Single-cell multiplexing techniques (cell hashing and genetic multiplexing) combine multiple samples, optimizing sample processing and reducing costs. Cell hashing conjugates antibody-tags or chemical-oligonucleotides to cell membranes, while genetic multiplexing allows to mix genetically diverse samples and relies on aggregation of RNA reads at known genomic coordinates. We develop hadge (hashing deconvolution combined with genotype information), a Nextflow pipeline that combines 12 methods to perform both hashing-and genotype-based deconvolution. We propose a joint deconvolution strategy combining best-performing methods and demonstrate how this approach leads to the recovery of previously discarded cells in a nuclei hashing of fresh-frozen brain tissue.

Vincent Dransfield, 110, lives alone and drives his car every day. He credits movement, milk, and strong relationships with giving him longevity.