Lifeboat Foundation

By David Hambling

A robot pilot is learning to fly. It has passed its pilot’s test and flown its first plane, but it has also had its first mishap too.

Unlike a traditional autopilot, the ROBOpilot Unmanned Aircraft Conversion System literally takes the controls, pressing on foot pedals and handling the yoke using robotic arms. It reads the dials and meters with a computer vision system.

The video uploaded by Logan LeGrand today shows a modified 2019 Toyota Corolla hatchback easily maintaining its 40 mph speed throughout a heavy downpour.

Magnetically controlled device could deliver clot-reducing therapies in response to stroke or other brain blockages.

A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people’s faces in images along with contextual features. They presented and outlined their deep learning-based architecture, called CAER-Net, in a paper pre-published on arXiv.

For several years, researchers worldwide have been trying to develop tools for automatically detecting human emotions by analyzing images, videos or audio clips. These tools could have numerous applications, for instance, improving robot-human interactions or helping doctors to identify signs of mental or neural disorders (e.g.„ based on atypical speech patterns, facial features, etc.).

So far, the majority of techniques for recognizing emotions in images have been based on the analysis of people’s facial expressions, essentially assuming that these expressions best convey humans’ emotional responses. As a result, most datasets for training and evaluating emotion recognition tools (e.g., the AFEW and FER2013 datasets) only contain cropped images of human faces.

Artificial intelligence has been used to analyse high-resolution digital X-ray images of the world famous Ghent Altarpiece, as part of an investigative project led by UCL.

The finding is expected to improve our understanding of art masterpieces and provide new opportunities for art investigation, conservation and presentation.

Researchers from the National Gallery, Duke University and UCL worked with technical images acquired from the brothers Van Eyck’s Ghent Altarpiece, a large and complex 15th-century altarpiece in St Bavo’s Cathedral, Belgium.

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Discover how the world’s most innovative organizations are using AI. Get a solid understanding of the latest breakthroughs and…

On Wednesday, at the United Nations Convention on Certain Conventional Weapons in Geneva, a panel of government experts debated policy options regarding lethal autonomous weapons.

Dutch NGO Pax created a report that surveyed major players from the sector on their view of lethal autonomous weapons. They categorised companies based on 3 criteria: whether they were developing technology that’s potentially relevant to deadly AI, working on related military products, and if they had committed to abstaining from contributing in the future.

By these criteria, Microsoft scores rather highly in the birthplace of Skynet rankings. Microsoft has invested extensively in developing artificial intelligence products, has very close relationships with the US military, and Satya Nadella has committed to providing the military with their very best technology. While Microsoft has fallen short of explicitly developing AI for military purposes, we do know that they have developed a version of the HoloLens for the military that is specifically designed to increase the lethality of soldiers in the field.

Should citizenship be restricted to humans?

Scene taken from the film Short Circuit 2 (1988).

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Scientists have created miniature brains from stem cells that developed functional neural networks. Despite being a million times smaller than human brains, these lab-grown brains are the first observed to produce brain waves that resemble those of preterm babies. The study, published August 29 in the journal Cell Stem Cell, could help scientists better understand human brain development.

“The level of neural activity we are seeing is unprecedented in vitro,” says Alysson Muotri, a biologist at the University of California, San Diego. “We are one step closer to have a model that can actually generate these early stages of a sophisticated neural network.”

The pea-sized brains, called cerebral organoids, are derived from human pluripotent stem cells. By putting them in culture that mimics the environment of brain development, the stem cells differentiate into different types of brain cells and self-organize into a 3D structure resembling the developing human brain.