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This behavior highlights a critical issue: even systems designed for seemingly harmless tasks can produce unforeseen outcomes when granted enough autonomy.

The challenges posed by AI today are reminiscent of automated trading systems in financial markets. Algorithms designed to optimize trades have triggered flash crashes —sudden, extreme market volatility occurring within seconds, too fast for human intervention to correct.

Similarly, modern AI systems are built to optimize tasks at extraordinary speeds. Without robust controls, their growing complexity and autonomy could unleash consequences no one anticipated—just as automated trading once disrupted financial markets.

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The human brain is the central control organ of our body. It processes information received through the senses and enables us, among other things, to form thoughts, make decisions and store knowledge. Given everything our brain is capable of, it seems almost paradoxical how little we actually still know about it.

Among those who are on the trail of the most complex and complicated organ are Jonas Thiele and Dr. Kirsten Hilger, head of the “Networks of Behavior and Cognition” working group at the Department of Psychology I at the Julius Maximilian University of Würzburg (JMU). Their latest study was recently published in the journal PNAS Nexus: “Choosing explanation over performance: Insights from machine learning-based prediction of human intelligence from brain connectivity.”

To do this, the researchers used data sets from a large-scale data-sharing project in the USA — the Human Connectome Project. Using fMRI — an imaging method that measures changes in brain activity — over 800 people were examined, both at rest and while they were performing various tasks.

The team led by Würzburg researchers looked at various connections that reflect the strength of communication between brain regions and made predictions about the intelligence of the test subjects based on these observations.

Summary: A new “molecular lantern” technique allows researchers to monitor molecular changes in the brain non-invasively using a thin light-emitting probe. This innovative tool utilizes Raman spectroscopy to detect chemical changes caused by tumors, injuries, or other pathologies without altering the brain beforehand.

Unlike prior methods requiring genetic modifications, this approach analyzes natural brain tissue with high precision, offering significant potential for diagnosing and studying brain diseases. Future developments aim to integrate artificial intelligence to enhance diagnostic accuracy and explore diverse biomedical applications.

Mobile 5G station for future robot wars.


China has introduced the world’s first mobile 5G base station, designed for battlefield deployment after completing rigorous testing. Developed collaboratively by China Mobile Communications Group and the People’s Liberation Army (PLA), the station delivers high-speed, low-latency, and secure data exchange services. It can support up to 10,000 users within a 3-kilometer (1.8-mile) radius, representing a significant technological advancement in military communication.

#worldnews #china #wion.