Lifeboat Foundation

A massive trove of 361 million email addresses from credentials stolen by password-stealing malware, in credential stuffing attacks, and from data breaches was added to the Have I Been Pwned data breach notification service, allowing anyone to check if their accounts have been compromised.

Cybersecurity researchers collected these credentials from numerous Telegram cybercrime channels, where the stolen data is commonly leaked to the channel’s users to build reputation and subscribers.

The stolen data is usually leaked as username and password combinations (usually stolen via credential stuffing attacks or data breaches), username and passwords along with a URL associated with them (stolen via password-stealing malware), and raw cookies (stolen via password-stealing malware).

Statistical properties of fluctuations of certain parameters describing a complex system can reveal when that system is approaching a tipping point.

Using an atomic array originally designed for quantum memory, researchers have demonstrated a magnetometer with unprecedented spatial resolution.

A new model, vetted by experiments on lung cancer cells, may help to explain how cancer and other diseases accumulate drug-resistance mutations that can compromise the effectiveness of treatments.

During the past 50 years, researchers have accumulated a massive arsenal in our war on cancer. Well over 500 drugs have been approved to treat tumors, but cancer remains the second leading cause of death in the United States. The problem is partly due to drug resistance—the emergence of treatment-resistant mutants of the original disease. Now a study led by Jeff Maltas of Cleveland Clinic and Case Western Reserve University, both in Ohio, puts forward a model explaining why drug resistance is so common, vetting the model with experiments on lung cancer cells [1]. This model indicates that treatment-resistant mutants can be present in larger-than-expected numbers before treatment begins. The conclusion implies that we cannot understand cancer evolution by looking at individual mutations in isolation; instead, we should consider each tumor as an interacting ecosystem.

Mentally stimulating activities and life experiences can improve cognition in memory clinic patients, but stress undermines this beneficial relationship. This is according to a new study from Karolinska Institutet published in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.

In the late 1980s, researchers discovered that some individuals who showed no apparent symptoms of dementia during their lifetime had brain changes consistent with an advanced stage of Alzheimer’s disease. Since then it has been postulated that so-called cognitive reserve might account for this differential protective effect in individuals.

Cognitively stimulating and enriching life experiences and behaviors such as higher educational attainment, complex jobs, continued physical and leisure activities, and healthy social interactions help build cognitive reserve. However, high or persistent stress levels are associated with reduced social interactions, impaired ability to engage in leisure and physical activities, and an increased risk of dementia.

Quantum simulators are now addressing complex physics problems, such as the dynamics of 1D quantum magnets and their potential similarities to classical phenomena like snow accumulation. Recent research confirms some aspects of this theory, but also highlights challenges in fully validating the KPZ universality class in quantum systems. Credit: Google LLC

Quantum simulators are advancing quickly and can now tackle issues previously confined to theoretical physics and numerical simulation. Researchers at Google Quantum AI and their collaborators demonstrated this new potential by exploring dynamics in one-dimensional quantum magnets, specifically focusing on chains of spin-1/2 particles.

Continue reading “Google’s Quantum AI Challenges Long-Standing Physics Theories” »

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AI technology is spreading quickly throughout many different industries, and its integration depends on users’ trust and safety concerns. This matter becomes complicated when the algorithms powering AI-based tools are vulnerable to cyberattacks that could have detrimental results.

Dr. David P. Woodruff from Carnegie Mellon University and Dr. Samson Zhou from Texas A&M University are working to strengthen the algorithms used by big data AI models against attacks.

Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. And the end game is nothing short of revolutionary: an entirely new way to forecast weather based on artificial intelligence that can run on a desktop computer.

Today’s artificial intelligence systems require one resource more than any other to operate—data. For example, large language models such as ChatGPT voraciously consume data to improve answers to queries. The more and higher quality data, the better their training, and the sharper the results.

Scientists at La Jolla Institute for Immunology (LJI) have developed a new computational method for linking molecular marks on our DNA to gene activity. Their work may help researchers connect genes to the molecular “switches” that turn them on or off.