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The mystery of ultra-luminous X-ray sources (ULXs) and their astonishing brightness has been partially unraveled through a recent study utilizing NASA’s NuSTAR.

Scientists have long been perplexed by ultra-luminous X-ray sources (ULXs), cosmic objects that emit about 10 million times more energy than the Sun and appear to break the Eddington limit — a physical boundary that determines the maximum brightness of an object based on its mass. In a groundbreaking study published in The Astrophysical Journal, researchers have confirmed that these extraordinary light emitters surpass the Eddington limit, potentially due to their strong magnetic fields.


The effect of Eddington limit and magnetic fields

The Eddington limit plays a crucial role in determining the balance between the outward push of photons and the inward pull of an object’s gravity. When an object reaches the Eddington limit, its light pushes away any gas or material falling toward it, thus controlling its brightness. The study focused on the ULX M82 X-2, a neutron star that was found to be stealing about 9 billion trillion tons of material from a neighboring star annually. The researchers’ calculations confirmed that M82 X-2 exceeds the Eddington limit.

The team created a vacuum chamber equipped with twin electrodes to simulate the coronal loop phenomenon.

Coronal loops are arcs of curving plasma that appear above the Sun’s surface. These loops are so powerful that they can travel up to 100,000 kilometers above the surface of the Sun and last for minutes to hours.

Understanding coronal loops.


NASA

“AI is a challenge for global governance,” says a regulations expert.

The Cyberspace Administration of China (CAC), China’s internet regulator, proposed rules to govern artificial intelligence (AI) tools like OpenAI’s ChatGPT on Tuesday.

“China supports the independent innovation, popularization and application and international cooperation of basic technologies such as AI algorithms and frameworks,” CAC said in the draft regulation published on its website.


AndreyPopov/iStock.

Malicious loader programs capable of trojanizing Android applications are being traded on the criminal underground for up to $20,000 as a way to evade Google Play Store defenses.

“The most popular application categories to hide malware and unwanted software include cryptocurrency trackers, financial apps, QR-code scanners, and even dating apps,” Kaspersky said in a new report based on messages posted on online forums between 2019 and 2023.

Dropper apps are the primary means for threat actors looking to sneak malware via the Google Play Store. Such apps often masquerade as seemingly innocuous apps, with malicious updates introduced upon clearing the review process and the applications have amassed a significant user base.

For more information about Stanford’s Artificial Intelligence programs visit: https://stanford.io/ai.

To follow along with the course, visit:
https://cs330.stanford.edu/

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chelsea Finn.

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Will artificial intelligence destroy humanity? Will GPT-5 be the first artificial general intelligence? Why are neural network experts calling on missile strikes to destroy the AI development centers? That and review of new robot superpowers and the ProMat 2023 robot show is in one video! Watch till the end, it’s gonna be interesting!

00:38 — Will GPT-5 destroy humanity?

Noisy intermediate-scale quantum algorithms, which run on noisy quantum computers, should be carefully designed to boost the output state fidelity. While several compilation approaches have been proposed to minimize circuit errors, they often omit the detailed circuit structure information that does not affect the circuit depth or the gate count. In the presence of spatial […]…

Scientists at the University of Cambridge have designed a robotic hand that can grasp and hold objects using only the movement of its wrist.

The 3D printed model was implanted with sensors that enabled it to “sense” what it was touching and more than 1,200 tests were carried out, using objects including a peach, computer mouse and bubble wrap.

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