National Library presents book exhibition dedicated to Azerbaijan National Academy of Sciences

On the occasion of the 80th anniversary of the Azerbaijan
National Academy of Sciences, a book exhibition has been prepared
and presented to users at the National Library,
Azernews reports.
The exhibition titled “National Academy of Sciences of
Azerbaijan – 80” showcases books in Azerbaijani and foreign
languages about the history of the academy, the stages of
development of national science, and the achievements made, as well
as literature on the lives and activities of scientists who
dedicated their lives to scientific work and contributed
significantly to the establishment and development of National
Academy of Sciences.
It also includes research conducted by staff, publications from
individual institutes, scientific works, scientific journals,
bibliographies of prominent scientists published by the National
Library, and more.
The exhibition will last for a week.

Here we are to serve you with news right now. It does not cost much, but worth your attention.

Choose to support open, independent, quality journalism and subscribe on a monthly basis.

By subscribing to our online newspaper, you can have full digital access to all news, analysis, and much more.

Subscribe

You can also follow AzerNEWS on Twitter @AzerNewsAz or Facebook @AzerNewsNewspaper

Thank you!

High turnout in 56th Cairo Int’l Book Fair on its 2nd day

The fair saw a remarkable turnout from diverse age groups, eager to explore the literary treasures on display.Held this year under the theme “Read… In the Beginning Was the Word,” the fair features a mix of local and international publishers presenting a wide array of books across various fields, including literature, history, self-development, and science.As many as 80 Arab and foreign countries are taking part in this round.Several cultural activities are held on the sidelines of the event.The fair is running until February 5, featuring prominent Egyptian, Arab, and international authors and intellectuals.Oman is the guest of honor for this year’s edition.

Caltech Scientists Discover the Surprising Speed Limit of Human Thought – Just 10 Bits per Second

Artistic rendering of the brain’s “speed limit” — we think, process, and decide at the slow pace of 10 bits per second. Credit: J. Zheng
Scientists at Caltech have uncovered a surprising limit to human thought speed—just 10 bits per second—despite our senses absorbing data at a billion bits per second.
This discovery raises fascinating questions about how our brains filter information and why we process one thought at a time. The study suggests evolutionary factors may play a role, with early brains designed for simple navigation rather than multitasking.
Quantifying the Speed of Thought
Caltech researchers have quantified the speed of human thought and found it to be just 10 bits per second. In contrast, our sensory systems process information at an astonishing rate of a billion bits per second—100 million times faster than our thinking speed. This discovery opens up intriguing questions for neuroscientists, particularly why the brain can focus on only one thought at a time while simultaneously handling vast amounts of sensory input.
The study was conducted in the lab of Markus Meister (PhD ’87), the Anne P. and Benjamin F. Biaggini Professor of Biological Sciences, with graduate student Jieyu Zheng leading the research. Their findings were recently published in the journal Neuron.
Markus Meister. Credit: Lance Hayashida/Caltech
Understanding Bits and Human Cognition
A bit is a basic unit of information in computing. A typical Wi-Fi connection, for example, can process 50 million bits per second. In the new study, Zheng applied techniques from the field of information theory to a vast amount of scientific literature on human behaviors such as reading and writing, playing video games, and solving Rubik’s Cubes, to calculate that humans think at a speed of 10 bits per second.
The Paradox of Brain Efficiency
“This is an extremely low number,” Meister says. “Every moment, we are extracting just 10 bits from the trillion that our senses are taking in and using those 10 to perceive the world around us and make decisions. This raises a paradox: What is the brain doing to filter all of this information?”
There are over 85 billion neurons in the brain, with one-third of these dedicated to high-level thinking and located in the cortex. Individual neurons are powerful information processors and can easily transmit more than 10 bits per second of information. But why don’t they? And why do we have so many if we’re thinking so slowly? Meister suggests that, given the discovery of this “speed limit” in the brain, neuroscience research ought to consider these paradoxes in future studies.
Another conundrum that the new study raises is: Why does the brain process one thought at a time rather than many in parallel the way our sensory systems do? For example, a chess player envisioning a set of future moves can only explore one possible sequence at a time rather than several at once. The study suggests that this is perhaps due to how our brains evolved.
Jieyu Zheng. Credit: J. Zheng
Evolutionary Origins of Thought Processing
Research suggests that the earliest creatures with a nervous system used their brains primarily for navigation, to move toward food, and away from predators. If our brains evolved from these simple systems to follow paths, it would make sense that we can only follow one “path” of thought at a time. “Human thinking can be seen as a form of navigation through a space of abstract concepts,” Zheng and Meister write. The team emphasizes the need for future research into how this constraint—one train of thought at a time—is encoded in the architecture of the brain.
“Our ancestors have chosen an ecological niche where the world is slow enough to make survival possible,” Zheng and Meister write. “In fact, the 10 bits per second are needed only in worst-case situations, and most of the time our environment changes at a much more leisurely pace.”
Rethinking Brain-Computer Interfaces
The new quantification of the rate of human thought may quash some science-fiction futuristic scenarios. Within the last decade, tech moguls have suggested creating a direct interface between human brains and computers in order for humans to communicate faster than the normal pace of conversation or typing. The new study, however, suggests that our brains would communicate through a neural interface at the same speed of 10 bits per second.
Reference: “The unbearable slowness of being: Why do we live at 10 bits/s?” by Jieyu Zheng and Markus Meister, 17 December 2024, Neuron.DOI: 10.1016/j.neuron.2024.11.008
Funding was provided by the Simons Collaboration on the Global Brain and the National Institutes of Health. Markus Meister is an affiliated faculty member with the Tianqiao and Chrissy Chen Institute for Neuroscience at Caltech.

Scientists Strapped QR Codes Onto Thousands of Bees to Learn How Far They Actually Fly

We say hard workers are “busy as a bee,” but in a recent study, honey bees seemed more like employees in an office building.
Entomologists and engineers in the U.S. glued tiny QR codes to the backs of tens of thousands of honey bees in rural areas of Pennsylvania and New York. The unprecedented application of this technology, as detailed in a paper published in November in the journal HardwareX, will help scientists and beekeepers study how far the insects travel to collect food. Excitingly, the experiment has already shed new light on this crucial pollinator’s mysterious behaviors.
Previous studies suggest that honey bees can forage up to 6.2 miles (10 kilometers) from their hives, but the entomologists hypothesize that this rarely occurs. “The goal is to understand if that 10-kilometer estimation is biologically accurate. Can we determine exactly how far honey bees travel from their hives?” Margarita López-Uribe, an entomologist at Pennsylvania State University (Penn State) and co-author on the study, said in a university statement.

The QR codes, called fiduciary tags, essentially work like badges in an office building. The team developed an automatic imaging system with a sensor at the hive entrance to register each time a tagged bee enters or exits, allowing the entomologists to track their individual foraging times. The sensor records the individual bee ID, date, time, temperature, and whether the bee is entering or exiting.
[embedded content]
[embedded content]

Traditional entomology field work is usually less hands-on, but this approach is providing unprecedented insight into honey bee behavior.
“This technology is opening up opportunities for biologists to study systems in ways that weren’t previously possible, especially in relation to organic beekeeping,” said López-Uribe. Organic beekeeping includes, among other things, maintaining sufficient space from industrial regions to prevent bees from collecting pollen in polluted areas. However, since common bee foraging distances remain elusive, the U.S. Department of Agriculture’s recommendations for organic certification might be inaccurate in this regard.

“In field biology, we usually just look at things with our eyes, but the number of observations we can make as humans will never scale up to what a machine can do,” she added. In total, the team tagged over 32,000 bees across six apiaries with QR codes smaller than human pinky nails that don’t harm the bees or restrict their movement.
“We targeted young bees so we could track their age more accurately, especially when they start to fly and when they stop,” said Robyn Underwood of Penn State, who also participated in the study. Younger individuals are easier to handle because they don’t sting yet.
So, what are bees up to?

The researchers observed that most trips from the hive usually lasted between one and four minutes—potentially potty breaks or a quick weather check—and some longer excursions were still less than 20 minutes. However, 34% of the tagged bees ventured out of the hive for over two hours.
This longer absence could be due to longer foraging excursions. Some longer trips, for example, corresponded to time periods with less flowers, during which bees likely had to travel farther to collect their due. However, the scientists also admitted that the data could have been skewed by bees that simply never returned or entered the hive upside down, effectively hiding the QR code from the sensor.

Additionally, “we also found that bees are foraging for a lot longer over their lifetimes than initially thought,” said Underwood. Entomologists previously suggested that honey bees lived approximately 28 days, she explained. However, “we’re seeing bees foraging for six weeks, and they don’t start foraging until they are already about two weeks old, so they live a lot longer than we thought.”
When they do start foraging, bees within the same hive share information about food sources with each other through the so-called “waggle dance.” Now, the team is working with researchers from Virginia Tech to align their foraging time data with this behavior to continue investigating how far bees travel from their hive.
Maybe the next step will be gluing tiny AirTags to their backs.

U.S. launches $500B AI initiative to counter China’s tech advancements

U.S. launches $500B AI initiative to counter China’s tech advancements

President Donald Trump announced the $500 billion “Stargate” initiative on Jan. 21, aiming to establish AI data centers nationwide, create over 100,000 jobs and secure the U.S. position as a global AI leader.
Backed by major tech companies like OpenAI, SoftBank, Oracle and Microsoft, the initiative received immediate funding of $100 billion, with the remaining $400 billion to be distributed over four years.
OpenAI highlights the initiative’s role in re-industrializing the U.S., protecting national security, and advancing AI capabilities. It is expected to improve healthcare efficiency and push progress toward artificial general intelligence.
The initiative comes in response to China’s rapid advancements in AI, particularly in facial recognition and autonomous vehicles, emphasizing the need for the U.S. to maintain technological dominance.
Stargate represents a significant milestone in U.S. efforts to drive innovation and maintain technological superiority, with the potential to transform the U.S. economy and position the country as a leader in the global AI revolution.

In a move to bolster the United States’ technological edge and secure its position as a global leader in artificial intelligence (AI), President Donald Trump announced the “Stargate” initiative on Jan. 21. This $500 billion investment aims to establish AI data centers nationwide, with the potential to create over 100,000 American jobs.
The project was unveiled at a press conference in Washington D.C., where Trump was flanked by leading figures in the tech industry, including OpenAI boss Sam Altman, Oracle technology chief Larry Ellison and SoftBank CEO Masayoshi Son. The announcement highlights a growing concern among U.S. policymakers about China’s rapid advancements in AI and the need to remain competitive in this critical sector.
The Stargate project is backed by a consortium of leading tech companies, including ChatGPT creator OpenAI, SoftBank, Oracle, and AI investment firm MGX. Microsoft, Nvidia and Arm are also key technology partners, contributing their expertise in cloud computing and AI chip development. According to the announcement, SoftBank’s CEO Masayoshi Son confirmed that $100 billion would be deployed immediately, with the remaining $400 billion to be distributed over the next four years.
OpenAI, a leading research organization in the field of AI, stated that the initiative is designed to support the re-industrialization of the United States while providing strategic capabilities to protect the national security of America and its allies. The company also noted that Stargate data centers are already being built in Oracle’s Abilene, Texas, facility, with plans to expand into other potential sites.
The economic implications of the Stargate initiative are significant. Trump emphasized the project’s potential to create over 100,000 American jobs, highlighting its importance in the context of the ongoing economic recovery from the pandemic. Oracle’s Larry Ellison added that the project would enable a range of applications, such as improving maintenance and analysis of electronic health records, leading to more efficient and effective healthcare.
The social implications of the project are equally far-reaching. OpenAI hopes that Stargate will push progress toward artificial general intelligence, a type of AI that can perform any intellectual task that a human can. According to Altman, “This new step is critical on the path, and will enable creative people to figure out how to use AI to elevate humanity.” (Related: Chinese researchers replicate OpenAI’s advanced AI model, sparking global debate on open source and AI security.)
Historical context and future prospects
The Stargate announcement comes nearly 12 months after OpenAI’s Altman revealed his ambitious plan to raise $7 trillion to accelerate chip production. This latest initiative builds on that vision, aiming to create a robust infrastructure for AI development and deployment in the United States. The project is seen as a strategic response to China’s rapid advancements in AI, particularly in areas such as facial recognition and autonomous vehicles.
The timing of the Stargate announcement is also significant, coming at a time when the United States is seeking to reassert its technological dominance in the face of increasing competition from China. As Trump noted, “China is a competitor, others are competitors. We want it to be in this country, and we’re making it available.” This sentiment reflects a broader trend in U.S. foreign and economic policy, which seeks to protect domestic industries and ensure that technological advancements benefit American citizens.
The Stargate initiative represents a significant milestone in the U.S. effort to maintain its technological edge and secure its position as a global leader in AI. As the project progresses, it will be closely watched by industry observers, policymakers and the public alike, with the potential to shape the future of AI development and deployment in the United States and beyond.
The Stargate initiative marks a bold step forward in the U.S. government’s efforts to drive innovation, create jobs and maintain technological superiority. As the project unfolds, it will be critical to monitor its progress and assess its impact on the broader landscape of AI development and deployment.
FutureTech.news has more stories about AI initiatives.
Watch the video below that talks about tech mogul Elon Musk’s plan to expand his Tenessee data center.
This video is from the Puretrauma357 channel on Brighteon.com.
More related stories:
Why China will win the race for AI supremacy as US efforts collapse under woke, irrational demands for AI censorship.
China is two years away from deploying KILLER ROBOTS on the battlefield.
China using AI technology to IMPERSONATE U.S. voters, Microsoft confirms.
Sources include:
CoinTelegraph.com
YouTube.com
Brighteon.com