Lifeboat Foundation

The artificial intelligence revolution is just getting started. But it is already transforming conflict. Militaries all the way from the superpowers to tiny states are seizing on autonomous weapons as essential to surviving the wars of the future. But this mounting arms-race dynamic could lead the world to dangerous places, with algorithms interacting so fast that they are beyond human control. Uncontrolled escalation, even wars that erupt without any human input at all.

DW maps out the future of autonomous warfare, based on conflicts we have already seen – and predictions from experts of what will come next.

Continue reading “How AI is driving a future of autonomous warfare | DW Analysis” »

Still the comic relief til about December 31, 2024. By 2035 curing everything, already in the early stages towards that.

Giovanni Traverso, an MIT assistant professor of mechanical engineering, a gastroenterologist at Brigham and Women’s Hospital, and also the senior author of the study said, that they were actively working on robots that can help provide health care services to maximize the safety, of both the patients and the health care workforce.

Traverso and his colleagues after the Covid-19 began last year, worked towards reducing interaction between the patients and the health care workers. In this process, they collaborated with Boston Dynamics in creating mobile robots that can interact with patients who waited in the emergency department.

Continue reading “Robot Doctors to Provide Health Care Services Soon” »

And they say computers can’t create art.

In 1642, famous Dutch painter Rembrandt van Rijn completed a large painting called Militia Company of District II under the Command of Captain Frans Banninck Cocq — today, the painting is commonly referred to as The Night Watch. It was the height of the Dutch Golden Age, and The Night Watch brilliantly showcased that.

The painting measured 363 cm × 437 cm (11.91 ft × 14.34 ft) — so big that the characters in it were almost life-sized, but that’s only the start of what makes it so special. Rembrandt made dramatic use of light and shadow and also created the perception of motion in what would normally be a stationary military group portrait. Unfortunately, though, the painting was trimmed in 1715 to fit between two doors at Amsterdam City Hall.

Continue reading “An AI algorithm just completed a famous Rembrandt painting” »

## FUTURE TENSE RN ABC (AUDIO 29 MIN) • JUN 27, 2021.

# Some foresight about.
the future of foresight.

*Trying to predict the future is a timeless and time-consuming pursuit.*

Continue reading “Some foresight about the future of foresight” »

Researchers at Google Brain announced a deep-learning computer vision (CV) model containing two billion parameters. The model was trained on three billion images and achieved 90.45% top-1 accuracy on ImageNet, setting a new state-of-the-art record.

The team described the model and experiments in a paper published on arXiv. The model, dubbed ViT-G/14, is based on Google’s recent work on Vision Transformers (ViT). ViT-G/14 outperformed previous state-of-the-art solutions on several benchmarks, including ImageNet, ImageNet-v2, and VTAB-1k. On the few-shot image recognition task, the accuracy improvement was more than five percentage-points. The researchers also trained several smaller versions of the model to investigate a scaling law for the architecture, noting that the performance follows a power-law function, similar to Transformer models used for natural language processing (NLP) tasks.

First described by Google researchers in 2017, the Transformer architecture has become the leading design for NLP deep-learning models, with OpenAI’s GPT-3 being one of the most famous. Last year, OpenAI published a paper describing scaling laws for these models. By training many similar models of different sizes and varying the amount of training data and computing power, OpenAI determined a power-law function for estimating a model’s accuracy. In addition, OpenAI found that not only do large models perform better, they are also more compute-efficient.

A new cosmic map showed previously unseen structures connecting galaxies, which could help scientists better model a future collision between the Milky Way and Andromeda.

It’s hard to see more than a handful of stars from Princeton University, because the lights from New York City, Princeton, and Philadelphia prevent our sky from ever getting pitch black, but stargazers who get into more rural areas can see hundreds of naked-eye stars — and a few smudgy objects, too.

The biggest smudge is the Milky Way itself, the billions of stars that make up our spiral galaxy, which we see edge-on. The smaller smudges don’t mean that you need glasses, but that you’re seeing tightly packed groups of stars. One of the best-known of these “clouds” or “clusters” — groups of stars that travel together — is the Pleiades, also known as the Seven Sisters. Clusters are stellar nurseries where thousands of stars are born from clouds of gas and dust and then disperse across the Milky Way.

Continue reading “AI Detects Incredible Stream of Stars That Extends Thousands of Light-Years Across the Milky Way” »

A team of researchers working at Johannes Kepler University has developed an autonomous drone with a new type of technology to improve search-and-rescue efforts. In their paper published in the journal Science Robotics, the group describes their drone modifications. Andreas Birk with Jacobs University Bremen has published a Focus piece in the same journal issue outlining the work by the team in Austria.

Finding people lost (or hiding) in the forest is difficult because of the tree cover. People in planes and helicopters have difficulty seeing through the canopy to the ground below, where people might be walking or even laying down. The same problem exists for thermal applications—heat sensors cannot pick up readings adequately through the canopy. Efforts have been made to add drones to search-and–rescue operations, but they suffer from the same problems because they are remotely controlled by pilots using them to search the ground below. In this new effort, the researchers have added new technology that both helps to see through the tree canopy and to highlight people that might be under it.

Continue reading “An autonomous drone for search and rescue in forests using optical sectioning algorithm” »

1. Bigelow must be pissed.

2. A giant ring like that would make a hell of a spacecraft to get around the solar system.

Lawrence Klaes shared a link to the group: Space Settlement Alliance.

Continue reading “Dreams Come True: First-Ever Luxury Space Hotel Nears Launch” »