Discover how meta emitters developed by top universities can revolutionize energy efficiency and reduce electricity bills.
Category: robotics/AI – Page 141
New system helps robotic arm navigate using sound instead of vision
A new sensing system called SonicBoom could help agricultural robots navigate cluttered environments where visual sensors struggle.
Developed by researchers at Carnegie Mellon University, SonicBoom uses tiny contact microphones to sense sound and localize objects that a robotic arm touches.
Interestingly, these robots could help farmers harvest crops even in increasingly challenging conditions, such as rising temperatures.
Massive study detects AI fingerprints in millions of scientific papers
Chances are that you have unknowingly encountered compelling online content that was created, either wholly or in part, by some version of a Large Language Model (LLM). As these AI resources, like ChatGPT and Google Gemini, become more proficient at generating near-human-quality writing, it has become more difficult to distinguish between purely human writing from content that was either modified or entirely generated by LLMs.
This spike in questionable authorship has raised concerns in the academic community that AI-generated content has been quietly creeping into peer-reviewed publications.
To shed light on just how widespread LLM content is in academic writing, a team of U.S. and German researchers analyzed more than 15 million biomedical abstracts on PubMed to determine if LLMs have had a detectable impact on specific word choices in journal articles.
Data Science and Machine Learning: Mathematical and
D.P. Kroese, Z.I. Botev, T. Taimre, R. Vaisman. Data Science and Machine Learning: Mathematical and Statistical Methods, Chapman and Hall/CRC, Boca Raton, 2019.
The purpose of this book is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.
AI Detects Hidden Lung Tumors Doctors Miss — And It’s Fast
Trained on multi-hospital data, iSeg spots moving tumors doctors sometimes miss, edging radiation treatment toward pinpoint perfection.
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.
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.
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.