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New IQ research shows why smarter people make better decisions

Smarter people don’t just crunch numbers better—they actually see the future more clearly. Examining thousands of over-50s, Bath researchers found the brightest minds made life-expectancy forecasts more than twice as accurate as those with the lowest IQs. By tying cognitive tests and genetic markers to real-world predictions, the study shows how sharp probability skills translate into wiser decisions about everything from crossing the road to planning retirement—and hints that clearer risk information could help everyone close the gap.

“We Finally Found It”: Scientists Reveal the Missing Half of the Universe’s Matter Was Hiding in Plain Sight All Along

IN A NUTSHELL ✨ Scientists have discovered the universe’s missing baryonic matter, solving a decades-long cosmic mystery. 🔭 The missing matter was found in the intergalactic medium, a vast network of hot, diffuse gas between galaxies. 📡 Fast Radio Bursts (FRBs) were instrumental in detecting this elusive matter through their interaction with free electrons in

Ford CEO Admits Defeat With SHOCKING Comments

Questions to inspire discussion.

🧠 Q: How is Ford trying to shape consumer attitudes towards driving? A: Ford is attempting to convince consumers that driving is an essential life skill rather than a chore, possibly to maintain demand for traditional vehicles.

👨💼 Q: What message is Ford sending about the future of driving? A: Ford’s CEO suggests that everyone should continue to know how to drive, implying that fully autonomous vehicles are not the immediate future.

Regulatory Approach.

📊 Q: How might Ford be influencing regulators regarding autonomous vehicles? A: Ford may be trying to convince regulators that autonomous vehicles are not significantly safer than human drivers to potentially delay or prevent approval.

Technology Development.

Continue reading “Ford CEO Admits Defeat With SHOCKING Comments” | >

How can AI be more energy efficient? Researchers look to human brain for inspiration

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive.

That’s why University at Buffalo researchers are taking inspiration from the human brain to develop computing architecture that can support the growing energy demands of artificial intelligence.

“There’s nothing in the world that’s as efficient as our brain—it’s evolved to maximize the storage and processing of information and minimize energy usage,” says Sambandamurthy Ganapathy, Ph.D., professor in the UB Department of Physics and associate dean for research in the UB College of Arts and Sciences.

The 40 Best AI Tools in 2025 (Tried & Tested)

In this article I list 45 AI tools across 20 different categories. After exploring all the available options in each category, I’ve carefully selected the best tools based on my personal experience. This ensures that the recommendations come from real, practical use, so you can trust that they’re grounded in what actually works.

For each tool, I focus on its best use cases, explaining when and how it can be most useful. I also share what I love about each one, as well as any downsides I’ve encountered during my experience. Additionally, I provide information on the free version and premium pricing plans for each tool.

An in-depth guide to the 40 best AI tools including the best AI assistants, video generators, automation tools, app builders, and more.

Neuralink Reveals New BLINDSIGHT Implant!

Last video: The Tesla Robotaxi Just TOOK OVER Austin Texas!

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Identification of proliferating neural progenitors in the adult human hippocampus

Continuous adult hippocampal neurogenesis is involved in memory formation and mood regulation but is challenging to study in humans. Difficulties finding proliferating progenitor cells called into question whether and how new neurons may be generated. We analyzed the human hippocampus from birth through adulthood by single-nucleus RNA sequencing. We identified all neural progenitor cell stages in early childhood. In adults, using antibodies against the proliferation marker Ki67 and machine learning algorithms, we found proliferating neural progenitor cells. Furthermore, transcriptomic data showed that neural progenitors were localized within the dentate gyrus. The results contribute to understanding neurogenesis in adult humans.