Lifeboat Foundation

We could be using the InterPlanetary File System, a peer-to-peer file-sharing system that promises to make the Net more efficient.

The woman transferred 4.4 million yen after the scammer promised to marry her after returning to Earth.

A 65-year-old Japanese woman was scammed online by a scammer claiming to be a Russian astronaut onboard the International Space Station (ISS), Vice.

With the rise in internet usage, the number of online scams has also increased considerably. At Interesting Engineering, we report the latest crypto-scams so that people do not fall for them in their attempts to connect with the new-age technology.

Francis Heylighen started his career as yet another physicist with a craving to understand the foundations of the universe – the physical and philosophical laws that make everything tick. But his quest for understanding has led him far beyond the traditional limits of the discipline of physics. Currently he leads the Evolution, Complexity and COgnition group (ECCO) at the Free University of Brussels, a position involving fundamental cybernetics research cutting across almost every discipline. Among the many deep ideas he has pursued in the last few decades, one of the most tantalizing is that of the Global Brain – the notion that the social, computational and communicative matrix increasingly enveloping us as technology develops, may possess a kind of coherent intelligence in itself.

I first became aware of Francis and his work in the mid-1990s via the Principia Cybernetica project – an initiative to pursue the application of cybernetic theory to modern computer systems. Principia Cybernetica began in 1989, as a collaboration between Heylighen, Cliff Joslyn, and the late great Russian physicist, dissident and systems theorist Valentin Turchin. And then 1993, very shortly after Tim Berners-Lee released the HTML/HTTP software framework and thus created the Web, the Principia Cybernetica website went online. For a while after its 1993 launch, Principia Cybernetica was among the largest and most popular sites on the Web. Today the Web is a different kind of place, but Principia Cybernetica remains a unique and popular resource for those seeking deep, radical thinking about the future of technology, mind and society.

The social media platform announced on Friday that it identified more than 400 malicious Android and iOS apps this year which target internet users in order to steal their login credentials.

Meta Platforms Inc. reveals that it would notify one million Facebook users that their account credentials may have been compromised due to security issues with apps downloaded from Alphabet Inc. and Apple Inc.’s software store.

https://www.livemint.com/technology/apps/facebook-warns-agai…5206859852.

The National research center for Cybersecurity ATHENE has found a way to break one of the basic mechanisms used to secure internet traffic. The mechanism, called RPKI, is actually designed to prevent cybercriminals or government attackers from diverting traffic on the internet.

Such redirections are surprisingly common on the internet, for example, for espionage or through misconfigurations. The ATHENE scientist team of Prof. Dr. Haya Shulman showed that attackers can completely bypass the security mechanism without the affected network operators being able to detect this. According to analyses by the ATHENE team, popular implementations of RPKI worldwide were vulnerable by early 2021.

The team informed the manufacturers, and now presented the findings to the international expert public.

About a quarter of the world’s internet users live in countries that are more susceptible than previously thought to targeted attacks on their internet infrastructure. Many of the at-risk countries are located in the Global South.

That’s the conclusion of a sweeping, large-scale study conducted by computer scientists at the University of California San Diego. The researchers surveyed 75 countries.

“We wanted to study the topology of the internet to find weak links that, if compromised, would expose an entire nation’s traffic,” said Alexander Gamero-Garrido, the paper’s first author, who earned his Ph.D. in computer science at UC San Diego.

Researchers have shown that 3D laser printing can be used to fabricate a high-quality, complex polymer optical device directly on the end of an optical fiber. This type of micro-optical device—which has details smaller than the diameter of a human hair—could provide an extremely compact and inexpensive way to tailor light beams for a variety of applications.

“Communication technologies, the internet and many other applications are based on optical fibers,” said research team leader Shlomi Lightman from Soreq Nuclear Research Center in Israel. “When light comes out of the fiber, large bulky optical elements are typically used to route it to the next location. Our approach minimizes both the size and cost for this process by integrating the routing process into the fiber itself.”

In the journal Optics Letters, Lightman and colleagues describe how they fabricated the tiny multi-component beam shaper directly onto a fiber. The device turns normal laser light into a twisted Bessel beam that carries orbital angular momentum and doesn’t expand in space like typical light beams.

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on “edge devices” that work independently from central computing resources.

Training a machine-learning model on an intelligent edge device allows it to adapt to new data and make better predictions. For instance, training a model on a smart keyboard could enable the keyboard to continually learn from the user’s writing. However, the training process requires so much memory that it is typically done using powerful computers at a data center, before the model is deployed on a device. This is more costly and raises privacy issues since user data must be sent to a central server.

To address this problem, researchers at MIT and the MIT-IBM Watson AI Lab have developed a new technique that enables on-device training using less than a quarter of a megabyte of memory. Other training solutions designed for connected devices can use more than 500 megabytes of memory, greatly exceeding the 256-kilobyte capacity of most microcontrollers (there are 1,024 kilobytes in one megabyte).

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

The open-source Linux operating system is an essential component of the cloud and enterprise application delivery. In fact, every cloud service, even Microsoft, offers Linux-based compute resources and Linux is often the default choice for embedded and internet of things (IoT) devices. Among the major Linux distribution vendors today are IBM’s Red Hat business unit, German vendor SUSE and Canonical, which develops the Ubuntu Linux distribution.

The market for Linux is forecast to grow to $22.15 billion by 2029, according to Fortune Business Insights, up from $6.27 billion in 2022.