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In hindsight, it seems prophetic that the title of a Nature paper published on 1 March 1974 ended with a question mark: “Black hole explosions?” Stephen Hawking’s landmark idea about what is now known as Hawking radiation1 has just turned 50. The more physicists have tried to test his theory over the past half-century, the more questions have been raised — with profound consequences for how we view the workings of reality.

In essence, what Hawking, who died six years ago today, found is that black holes should not be truly black, because they constantly radiate a tiny amount of heat. That conclusion came from basic principles of quantum physics, which imply that even empty space is a far-from-uneventful place. Instead, space is filled with roiling quantum fields in which pairs of ‘virtual’ particles incessantly pop out of nowhere and, under normal conditions, annihilate each other almost instantaneously.

However, at an event horizon, the spherical surface that defines the boundary of a black hole, something different happens. An event horizon represents a gravitational point of no return that can be crossed only inward, and Hawking realized that there two virtual particles can become separated. One of them falls into the black hole, while the other radiates away, carrying some of the energy with it. As a result, the black hole loses a tiny bit of mass and shrinks — and shines.

Chinese ambassador Chen Xu called for the high-quality development of artificial intelligence (AI), assistance in promoting children’s mental health, and protection of children’s rights while delivering a joint statement on behalf of 80 countries at the 55th session of the United Nations Human Rights Council (UNHRC) on Thursday.

Chen, China’s permanent representative to the UN Office in Geneva and other international organizations in Switzerland, said that artificial intelligence is a new field of human development and should adhere to the concept of consultation, joint construction, and shared benefits, while working together to promote the governance of artificial intelligence.

The new generation of children has become one of the main groups using and benefiting from AI technology. The joint statement emphasized the importance of children’s mental health issues.

“There is evidence that the youth of today blame the generations before them for the challenges that they and the planet face today,” said Mike Pickett, director of London-based Cazenove Capital, in the report.

The property broker added that housing will continue to be a focus of spending for the next generation, as those born between 1981 and 1996 may have struggled to get on the housing ladder thus far. Even at the highest end of the income ladder, growing a property portfolio is a key concern among those born between 1981 and 1996.

The study shows 23% of female ultra-high-net-worth individuals (UHNWI, valued at $30 million or above) are considering buying a home in 2024, with 21% of male UHNWI expecting to make a similar purchase this year. Wealthy Gen Zers feel the same, with 20% of those born from the mid-1990s to the early 2000s planning an acquisition.

Analyzing cells from patients with neuromyelitis optica spectrum disorder, researchers show transfers of patient-derived extracellular vesicles rich in the apolipoprotein APOE alleviate neuroinflammation and slow astrocyte loss in a mouse model of this severe autoimmune disease.

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APOE was augmented in astrocytic extracellular vesicles from patients with neuromyelitis optica spectrum disorder and decreased brain lesions in a mouse model.

🧠 New Graph Neural Network Technique 🔥

NVIDIA researchers developed WholeGraphStor, a novel #GNN memory optimization.

Storing entire graphs in a compressed format reduces memory footprint,…


Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing intricate relationships in graphs, powering applications from social networks to chemistry. They shine particularly in scenarios like node classification, where they predict labels for graph nodes, and link prediction, where they determine the presence of edges between nodes.

There is a new AI tool so smart that it can write code, create websites, and software with just a single prompt. Devin, created by the tech company Cognition, is the first AI software engineer. It can do pretty much everything you ask it to do. And the AI tool does not come with the intention to replace human engineers, it is designed to work hand-in-hand with them. The makers say that the AI tool has not been launched to replace human engineers but to make their lives easier.

“Today we’re excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser,” Cognition posted on Twitter aka X.

What makes Devin stand out is its incredible ability to think ahead and plan complex tasks. It can make thousands of decisions, learn from its mistakes, and get better over time. Plus, it has all the tools a human engineer needs, like a code editor and browser, right at its digital fingertips. Devin is considered the most advanced or cutting-edge solution available for evaluating software engineering tasks based on the SWE-bench coding benchmark. Essentially, it performed exceptionally well compared to other solutions when tested against a standard set of software engineering problems. The AI tool performed well in practical engineering interviews conducted by top artificial intelligence companies. These interviews likely involved tasks and challenges relevant to the field of AI and software engineering, and the AI assistant managed to meet expectations.