Einstein Probe detects mysterious X-ray transient that doesn’t fit any known class

Einstein Probe detects a mysterious X-ray transient that does not fit any known class
Einstein Probe artist impression. Credit: Chinese Academy of Sciences

Astronomers have reported the discovery of an unusual X-ray transient detected by the Einstein Probe that does not fit any known class of cosmic explosions. The paper presenting its multiwavelength analysis was published in the journal Monthly Notices of the Royal Astronomical Society on June 13.

All eyes on it
On March 5, 2024, a space telescope called the Einstein Probe—designed to scan the sky for sudden X-ray flashes—caught a brief, never-before-seen source called EP240305a. It produced two brief X-ray flares, one right after the other, separated by about 200 seconds of quiet.

Researchers quickly pointed several telescopes at this source to gather more data in X-rays, infrared, optical and radio waveleng...

Read More

Hope for spinal injuries as pigs walk again after experimental gel treatment for severed spinal cords

In humans and other mammals, spinal cord injuries can be devastating, leading to permanent loss of movement, sensation and bladder control. When severed axons (the long fibers that carry messages between nerve cells) cannot regrow, a dense scar forms, preventing nerve signals from passing the injury site.

But the situation is different for some primitive invertebrates, which can rapidly reconnect severed nerves by fusing them. Inspired by this natural phenomenon, scientists led by Michael Lebenstein-Gumovski at the Sklifosovsky Institute for Emergency Medicine in Russia report that they have successfully reconnected severed spinal cords in pigs, enabling them to walk again.

When a spinal cord is completely cut, the two severed ends naturally pull away from each other...

Read More

Brain-inspired AI architecture could computing faster and far less power-hungry

New brain-inspired architecture could process data more efficiently
Dual memory pathway abstraction. At the algorithmic level, each layer maintains a shared, low-dimensional state that captures slow contextual dynamics and modulates fast spiking activity. At the hardware level, this separation is mirrored by a heterogeneous accelerator that keeps the compact state on-chip and fuses sparse and dense computations for efficient execution. Credit: Sun et al.

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with each other. While biological neurons exchange information in the form of electrical impulses, SNNs rely on brief signals known as spikes.

SNNs have proved promising for reducing power consumption, as developers can ensure they do not process information continuously, but rather ...

Read More

Webb spots the birth of a giant galaxy and a supermassive black hole

Astronomers have used the James Webb Space Telescope to catch an extraordinary glimpse of a massive galaxy taking shape in the early universe. They identified a compact group of at least six galaxies that are likely to merge into a single enormous system. At the heart of this cosmic construction site lies a growing supermassive black hole.

The international study was led by astronomers at Leiden University and the University of Oxford. The findings have been published in The Open Journal of Astrophysics and Astronomy & Astrophysics.

The system observed, TGSSJ1530+1049, lies more than 12 billion light-years away. We are seeing it as it was when the universe was only about 1.5 billion years old...

Read More