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Category: robotics/AI – Page 2

AI-Assisted Threat Actor Compromises 600+ FortiGate Devices in 55 Countries

With Fortinet appliances becoming an attractive target for threat actors, it’s essential that organizations ensure management interfaces are not exposed to the internet, change default and common credentials, rotate SSL-VPN user credentials, implement multi-factor authentication for administrative and VPN access, and audit for unauthorized administrative accounts or connections.

It’s also recommended to isolate backup servers from general network access, ensure all software programs are up-to-date, and monitor for unintended network exposure.

“As we expect this trend to continue in 2026, organizations should anticipate that AI-augmented threat activity will continue to grow in volume from both skilled and unskilled adversaries,” Moses said. “Strong defensive fundamentals remain the most effective countermeasure: patch management for perimeter devices, credential hygiene, network segmentation, and robust detection for post-exploitation indicators.”

Android mental health apps with 14.7M installs filled with security flaws

Several mental health mobile apps with millions of downloads on Google Play contain security vulnerabilities that could expose users’ sensitive medical information.

In one of the apps, security researchers discovered more than 85 medium-and high-severity vulnerabilities that could be exploited to compromise users’ therapy data and privacy.

Some of the products are AI companions designed to help people suffering from clinical depression, multiple forms of anxiety, panic attacks, stress, and bipolar disorder.

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Plasma-based strategies for systemic rejuvenation: critical perspectives on clinical translation

Experimental models such as heterochronic parabiosis and heterochronic plasma transfer have profoundly advanced our understanding of systemic aging, demonstrating that circulating factors can influence brain, vascular, and immune aging through cell nonautonomous mechanisms. These preclinical models have revealed that both pro-geronic and anti-geronic signals in blood can modulate neuroinflammation, neurovascular health, and cognitive resilience. However, despite their experimental promise, the clinical translation of these findings, particularly through plasma-based interventions in humans, remains fraught with uncertainty.

Apple’s Next Big Thing Is a Push Into Visual Artificial Intelligence

Apple CEO Tim Cook is signaling that Visual Intelligence will be the defining feature of the company’s push into wearable AI devices. Also: What to expect from Apple’s first product launches of the year during the week of March 2; the iPhone 18 Pro’s color options; and the latest on iOS 26.4.

Last week in Power On: Tesla CarPlay support was held back by the need for wider adoption of iOS 26.

GOOD LUCK, HAVE FUN, DON’T DIE — Welcome To The Perfect Prison

Gore Verbinski’s Good Luck, Have Fun, Dont Die hits like a nasty mirror held up at the worst possible angle. On paper, the setup sounds almost playful: a “Man From the Future” drops into a diner in Los Angeles and has to recruit the exact combination of disgruntled strangers for a one-night mission to stop a rogue AI. But the horror isn’t metal skeletons and laser fire. It’s the idea that the end of humanity doesn’t arrive with an explosion. It arrives with an upgrade. A perfectly tuned stream of algorithmic entertainment that doesn’t merely distract people—it replaces them. A manufactured paradise so frictionless, so gratifying, so chemically rewarding, that the messy, strenuous, inconvenient act of being human starts to feel obsolete.

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Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical reservoir computing techniques are known to perform best at the “edge of chaos,” or in simpler terms, at a “sweet spot” in which the behavior of systems is neither entirely predictable (i.e., order) nor completely unpredictable (i.e., chaos).

In recent years, some physicists and quantum engineers have been exploring the possibility of realizing a quantum equivalent of classical reservoir computing, known as quantum reservoir computing (QRC). These approaches enable the processing of temporal data and the prediction of events unfolding over time, leveraging high-dimensional quantum states.

Researchers at the University of Tokyo carried out a study investigating how QRC would behave when applied to complex quantum many-body systems, which consist of several interacting quantum particles. Their paper, published in Physical Review Letters, introduces a physics-based framework that could inform the future development of QRC systems.

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