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According to Hackaday, “BioBootloader,” a programmer, created the program that can grant Python programs “regenerative healing abilities.” The program takes advantage of OpenAI’s GPT-4 multimodal AI language model, released in March and now accessible to ChatGPT Plus users and beta testers via an API. It performs text-processing activities, including authoring, language translation, and programming, using its “knowledge” of billions of documents, books, and webpages scraped from the internet.

The deployment of his spy ships is chilling. Britain is far from ready to counter whatever he has planned.

For a long time it was only speculation. Now we know for certain: Russian spy ships are mapping wind farms and key cables off the British coast. There can be only one reason for this – to learn how to sabotage UK and European critical infrastructure in the event of a full-scale war with the West.

The sobering truth is that our potential adversaries, Russia in the West and China in the East, are gearing up for wider conflict. That does not mean that conflict will happen –preparation makes it less likely – but we must urgently recognise the extent of the threat to the current order. Our world is becoming markedly more dangerous. And Britain is not ready.

The plan: Ding could play a key role in helping China get its future lunar bases off the ground — his research team at HUST has designed several potential moon bases and developed technology that could be used to actually construct them on the moon.

One of those is the “Chinese Super Mason,” an autonomous robot designed to create structures out of bricks. Another is the bricks themselves — Ding’s team has come up with a LEGO-like design for the blocks, which it proposes to make using 3D printing, lasers, and lunar regolith.

They could get a chance to see their ideas put to the ultimate test as soon as 2028, as China reportedly plans to send a Super Mason to the moon to build a lunar brick as part of the Chang’e 8 mission, which is expected to launch in 2028.

A study using data from telescopes on Earth and in the sky resolves a problem plaguing astronomers working in the infrared, and could help make better observations of the composition of the universe with the James Webb Space Telescope and other instruments. The work is published April 20 in Nature Astronomy.

“We’re trying to measure the composition of gases inside galaxies,” said Yuguang Chen, a postdoctoral researcher working with Professor Tucker Jones in the Department of Physics and Astronomy at the University of California, Davis.

Most elements other than hydrogen, helium and lithium are produced inside stars, so the composition and distribution of heavier elements—especially the ratio of oxygen to hydrogen—can help astronomers understand how many and what kinds of stars are being formed in a distant object.

To improve upon this technology, researchers created a souped-up MRI outfitted with a high-powered 9.4-tesla magnet. (For comparison, most MRIs are equipped with a 1.5-to 3-tesla magnet.) They also added gradient coils that are 100 times stronger than current models and are what create the images, as well as a high-speed computer that is as powerful as approximately 800 laptops, according to the statement.

After scanning the mouse brain, the researchers sent tissue samples to be imaged using a technique called light sheet microscopy, which allowed them to label specific groups of cells in the brain that were then mapped onto the original MRI. These additional steps provided a colorful view of cells and circuits throughout the brain, according to the statement.

The researchers took one set of MRI images that captured how the mouse’s brain-wide connectivity evolved with age. A second group of images showcased brilliantly colored brain connections that highlighted the deterioration of neural networks in a rodent model of Alzheimer’s disease, according to the statement.

Interfacial superconductivity and the quantum anomalous Hall effect have been developed by layer-by-layer material fabrication.

A new method created by Pritzker School of Molecular Engineering (PME) researchers can help determine the origin of electronic states in designed materials.

Assistant Professor Shuolong Yang and his colleagues created a method for better understanding magnetic topological insulators, which have unique surface properties that could make them useful in quantum information science technologies.

Alphabet Inc is combining Google Brain and DeepMind, as it doubles down on artificial intelligence research in its race to compete with rival systems like OpenAI’s ChatGPT chatbot.

The new division will be led by DeepMind CEO Demis Hassabis and its setting up will ensure “bold and responsible development of general AI,” Alphabet CEO Sundar Pichai said in a blog post on Thursday (20 April).

Alphabet said the teams that are being combined have delivered a number of high-profile projects including the transformer, technology that formed the bedrock of some of OpenAI’s own work.