Toggle light / dark theme

Despite the arrests and wider ransomware crackdowns in Russia, the Trickbot group has not exactly gone into hiding. Toward the end of last year, the group boosted its operations, says Limor Kessem, an executive security advisor at IBM Security. “They’re trying to infect as many people as possible by contracting out the infection,” she says. Since the start of 2022, the IBM security team has seen Trickbot increase its efforts to evade security protections and conceal its activity. The FBI also formally linked the use of the Diavol ransomware to Trickbot at the beginning of the year. “Trickbot doesn’t seem to be targeting very specifically; I think what they have is numerous affiliates working with them, and whoever brings the most money is welcome to stay,” Limor says.

Holden too says he has seen evidence that Trickbot is ramping up its operations. “Last year they invested more than $20 million into their infrastructure and growth of their organization,” he explains, citing internal messages he has seen. This money, he says, is being spent on everything Trickbot does. “Staffing, technology, communications, development, extortion” are all getting extra investment, he says. The move points to a future where—after the takedown of REvil—the Trickbot group may become the primary Russia-linked cybercrime gang. “You expand in the hope of getting that money back in spades,” Holden says. “It’s not like they are planning to close the shop. It’s not like they are planning to downsize or run and hide.”

Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to reduce the noise in the images. They used to work fairly well for images with a reasonable level of noise. However, applying those filters would add a blur to the image. And if the image is too noisy, then the resultant image would be so blurry that most of the critical details in the image are lost.

There has to be a better way to solve this problem. As a result, I have implemented several deep learning architectures that far surpass the traditional denoising filters. In this blog, I will explain my approach step-by-step as a case study, starting from the problem formulation to implementing the state-of-the-art deep learning models, and then finally see the results.

Japanese researcher Sagawa Masato has won this year’s Queen Elizabeth Prize for Engineering for developing the world’s “strongest” permanent magnet.

The winner of the sixth edition of the British prize was announced online on Tuesday. It had been held every other year since 2013, but became an annual event, starting this year, to keep up with the pace of scientific and technological advances.

Sagawa invented the neodymium-iron-boron magnet, which is said to be the world’s most powerful permanent magnet. The breakthrough led to the development of small and high-performance motors. This has enabled higher-performance products in various fields, such as wind power, electric vehicles and home electrical appliances.

A DIY heater developed by Portland-based collective HeaterBloc is helping unsheltered people across the U.S. stay warm this winter — and the potentially life-saving units cost just $7.

The challenge: On any given night in America, an estimated 226,000 people are “unsheltered” or “unhoused,” meaning they’re sleeping in cars, tents, abandoned buildings, or other places outside of homes or shelters.

This situation is particularly dangerous during the winter months, when temperatures can dip below freezing.