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Time, by its very nature, is a paradox. We live anchored in the present, yet we are constantly traveling between the past and the future—through memories and aspirations alike. Technological advancements have accelerated this relationship with time, turning what was once impossible into a tangible reality. At the heart of this transformation lies Artificial Intelligence (AI), which, far from being just a tool, is becoming an extension of the human experience, redefining how we interact with the world.

In the past, automatic doors were the stuff of science fiction. Paper maps were essential for travel. Today, these have been replaced by smart sensors and navigation apps. The smartphone, a small device that fits in the palm of our hand, has become an extension of our minds, connecting us to the world instantly. Even its name reflects its evolution—from a mere mobile phone to a “smart” device, now infused with traces of intelligence, albeit artificial.

And it is in this landscape that AI takes center stage. The debate over its risks and benefits has been intense. Many fear a stark divide between humans and machines, as if they are destined for an inevitable clash. But what if, instead of adversaries, we saw technology as an ally? The fusion of human and machine is already underway, quietly shaping our daily lives.

When applied effectively, AI becomes a discreet assistant, capable of anticipating our needs and enhancing productivity. Studies suggest that by 2035, AI could double annual economic growth, transforming not only business but society as a whole. Naturally, some jobs will disappear, but new ones will emerge. History has shown that evolution is inevitable and that the future belongs to those who adapt.

But what about AI’s role in our personal lives? From music recommendations tailored to our mood to virtual assistants that complete our sentences before we do, AI is already recognizing behavioral patterns in remarkable ways. Through Machine Learning, computer systems do more than just store data—they learn from it, dynamically adjusting and improving. Deep Learning takes this concept even further, simulating human cognitive processes to categorize information and make decisions based on probabilities.

But what if the relationship between humans and machines could transcend time itself? What if we could leave behind an interactive digital legacy that lives on forever? This is where a revolutionary concept emerges: digital immortality.

ETER9 is a project that embodies this vision, exploring AI’s potential to preserve interactive memories, experiences, and conversations beyond physical life. Imagine a future where your great-grandchildren could “speak” with you, engaging with a digital presence that reflects your essence. More than just photos or videos, this would be a virtual entity that learns, adapts, and keeps individuality alive.

The truth is, whether we realize it or not, we are all being shaped by algorithms that influence our online behavior. Platforms like Facebook are designed to keep us engaged for as long as possible. But is this the right path? A balance must be found—a point where technology serves humanity rather than the other way around.

We don’t change the world through empty criticism. We change it through innovation and the courage to challenge the status quo. Surrounding ourselves with intelligent people is crucial; if we are the smartest in the room, perhaps it’s time to find a new room.

The future has always fascinated humanity. The unknown evokes fear, but it also drives progress. Many of history’s greatest inventions were once deemed impossible. But “impossible” is only a barrier until it is overcome.

Sometimes, it feels like we are living in the future before the world is ready. But maturity is required to absorb change. Knowing when to pause and when to move forward is essential.

And so, in a present that blends with the future, we arrive at the ultimate question:

What does it mean to be eternal?

Perhaps the answer lies in our ability to dream, create, and leave a legacy that transcends time.

After all, isn’t digital eternity our true journey through time?

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Copyright © 2025, Henrique Jorge

As quantum computers threaten traditional encryption, researchers are developing quantum networks to enable ultra-secure communication.

Scientists at Leibniz University Hannover have pioneered a new method using light frequencies to enhance quantum key distribution. This breakthrough reduces complexity, cuts costs, and paves the way for scalable, tap-proof quantum internet infrastructure.

Data security on the internet is under threat: in the future, quantum computers could decode even encrypted files sent over the internet in no time. Researchers worldwide are, therefore, experimenting with quantum networks that will enable a paradigm shift in the future when globally connected to form the quantum internet.

Such systems would be able to guarantee tap-proof communication through quantum mechanical phenomena such as superposition and entanglement, as well as cryptographic quantum protocols. However, the is still in its infancy: high costs coupled with high energy consumption and a high level of complexity for the necessary technologies have prevented quantum networks from scaling easily.

Two researchers at the Institute of Photonics at the Leibniz University Hannover want to remedy this situation. Using frequency-bin coding, they have developed a novel method for entanglement-based quantum key distribution. This quantum mechanical encryption technique uses different light frequencies, i.e. colors, to encode the respective quantum states. The method increases security and resource efficiency.

In a groundbreaking use of teleportation, critical units of a quantum processor have been successfully spread across multiple computers, proving the potential of distributing quantum modules without compromising on their performance.

While the transfer only took place over a space of two meters (about six feet) in an Oxford University laboratory, the leap was more than enough to emphasize the feasibility of scaling quantum technology by teleporting quantum states across an ‘internet’ of connected systems.

Teleportation is a quirk of physics that only makes sense through a quantum lens, where objects exist in a blur of possible characteristics until processes of measurement force them to adopt each state.

We’ve yet to see a falling piece of space debris strike an airplane, but if it happens, the consequences would almost certainly be catastrophic – and according to a new study, the danger posed to planes is only rising.

The researchers behind the study, from the University of British Columbia in Canada, looked at worldwide flight data to model the distribution of planes in the sky, then compared this to records of uncontrolled rocket body reentries.

The increasing risk is also being driven in part by the mass deployment of satellites, like SpaceX’s Starlink, which will eventually reenter our airspace.

The rapid advancement of technologies like artificial intelligence (AI) and the Internet of Things (IoT) has heightened the demand for high-speed, energy-efficient memory devices. Traditional memory technologies often struggle to balance performance with power consumption.

Spintronic devices, which leverage electron spin rather than charge, present a promising alternative. In particular, TMD materials are attractive due to their unique electronic properties and potential for miniaturization.

Researchers have proposed the development of gate-controllable TMD spin valves to address these challenges. By integrating a gate mechanism, these devices can modulate spin transport properties, enabling precise control over memory operations. This approach aims to enhance tunneling magnetoresistance (TMR) ratios, improve spin current densities, and reduce during read and write processes. The study is published in the Journal of Alloys and Compounds.

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication and big data transmission. Compared with single-mode fibers (SMFs), multimode fibers (MMFs) can support a much larger number of guided modes (~103 to ~104), offering the attractive advantage of high-capacity information and image transportation within the diameter of a hair. This capability has positioned MMFs as a critical tool in fields such as quantum information and micro-endoscopy.

However, MMFs pose a significant challenge: their highly scattering nature introduces severe modal dispersion during transmission, which significantly degrades the quality of transmitted information. Existing technologies, such as (ANNs) and spatial light modulators (SLMs), have achieved limited success in reconstructing distorted images after MMF transmission. Despite these advancements, the direct optical transmission of undistorted images through MMFs using micron-scale integrated has remained an elusive goal in optical research.

Addressing the longstanding challenges of multi-mode fiber (MMF) transmission, the research team led by Prof. Qiming Zhang and Associate Prof. Haoyi Yu from the School of Artificial Intelligence Science and Technology (SAIST) at the University of Shanghai for Science and Technology (USST) has introduced a groundbreaking solution. The study is published in the journal Nature Photonics.

The aim of the following paper was to overview the body-composition-related changes and molecular effects of different chemotherapy agents used in cancer treatment on skeletal-muscle remodeling.

— Pedrosa, et al.

Full text is available


Paraneoplastic conditions such as cancer cachexia are often exacerbated by chemotherapy, which affects the patient’s quality of life as well as the response to therapy. The aim of this narrative review was to overview the body-composition-related changes and molecular effects of different chemotherapy agents used in cancer treatment on skeletal-muscle remodeling. A literature search was performed using the Web of Science, Scopus, and Science Direct databases and a total of 77 papers was retrieved. In general, the literature survey showed that the molecular changes induced by chemotherapy in skeletal muscle have been studied mainly in animal models and mostly in non-tumor-bearing rodents, whereas clinical studies have essentially assessed changes in body composition by computerized tomography.

In the incident analyzed by the Canadian cybersecurity company, the initial access was gained to a targeted endpoint via a vulnerable SimpleHelp RMM instance (“194.76.227[.]171”) located in Estonia.

Upon establishing a remote connection, the threat actor has been observed performing a series of post-exploitation actions, including reconnaissance and discovery operations, as well as creating an administrator account named “sqladmin” to facilitate the deployment of the open-source Sliver framework.

The persistence offered by Sliver was subsequently abused to move laterally across the network, establishing a connection between the domain controller (DC) and the vulnerable SimpleHelp RMM client and ultimately installing a Cloudflare tunnel to stealthily route traffic to servers under the attacker’s control through the web infrastructure company’s infrastructure.