A major spike in malicious scanning against Palo Alto Networks GlobalProtect portals has been detected, starting on November 14, 2025.
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Accepting Sally Ride’s Medal of Freedom from President Obama
(Visit: http://www.uctv.tv/) Watch the Entire Program Here: https://youtu.be/0Z7PWRZHEnATam O’Shaughnessy, Executive Director of Sally Ride Science@UC San Di…
Nighttime phone use linked to higher levels of suicidal thoughts in high-risk adults
Patterns of smartphone use and their impact on mental health are being extensively studied due to the growing dependence of the device in people’s lives.
A recent study tracked late-night smartphone usage in 79 adults with recent suicidal thoughts for 28 days. People using phones late between 11 p.m. and 1 a.m. showed a higher risk of suicidal thoughts the next day, whereas those who actively used the keyboard beyond midnight hours showed a lower risk.
The findings are published in JAMA Network Open.
Oxygen deprivation drives dysfunctional neutrophil immunity
Low oxygen levels in the blood can alter the genetic makeup of key immune cells, weakening the body’s ability to fight infection, new research shows.
Scientists found that oxygen deprivation – known as hypoxia – changes the genetic material of immune cells called neutrophils, reducing their capacity to destroy harmful microbes.
The team discovered that low oxygen appears to leave a lasting mark on the bone marrow cells that produce neutrophils, meaning the impact can persist after oxygen levels return to normal.
No Mining, No Machines — How The Future Of Technology Depends On Greener Mines
Mining the future – why technological development needs sustainable mines
The Intelligence Foundation Model Could Be The Bridge To Human Level AI
Cai Borui and Zhao Yao from Deakin University (Australia) presented a concept that they believe will bridge the gap between modern chatbots and general-purpose AI. Their proposed “Intelligence Foundation Model” (IFM) shifts the focus of AI training from merely learning surface-level data patterns to mastering the universal mechanisms of intelligence itself. By utilizing a biologically inspired “State Neural Network” architecture and a “Neuron Output Prediction” learning objective, the framework is designed to mimic the collective dynamics of biological brains and internalize how information is processed over time. This approach aims to overcome the reasoning limitations of current Large Language Models, offering a scalable path toward true Artificial General Intelligence (AGI) and theoretically laying the groundwork for the future convergence of biological and digital minds.
The Intelligence Foundation Model represents a bold new proposal in the quest to build machines that can truly think. We currently live in an era dominated by Large Language Models like ChatGPT and Gemini. These systems are incredibly impressive feats of engineering that can write poetry, solve coding errors, and summarize history. However, despite their fluency, they often lack the fundamental spark of what we consider true intelligence.
They are brilliant mimics that predict statistical patterns in text but do not actually understand the world or learn from it in real-time. A new research paper suggests that to get to the next level, we need to stop modeling language and start modeling the brain itself.
Borui Cai and Yao Zhao have introduced a concept they believe will bridge the gap between today’s chatbots and Artificial General Intelligence. Published in a preprint on arXiv, their research argues that existing foundation models suffer from severe limitations because they specialize in specific domains like vision or text. While a chatbot can tell you what a bicycle is, it does not understand the physics of riding one in the way a human does.