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The speed record for data transmission using a single light source and optical chip has been shattered once again. Engineers have transmitted data at a blistering rate of 1.84 petabits per second (Pbit/s), almost twice the global internet traffic per second.

It’s hard to overstate just how fast 1.84 Pbit/s really is. Your home internet is probably getting a few hundred megabits per second, or if you’re really lucky, you might be on a 1-gigabit or even 10-gigabit connection – but 1 petabit is a million gigabits. It’s more than 20 times faster than ESnet6, the upcoming upgrade to the scientific network used by the likes of NASA.

Even more impressive is the fact this new speed record was set using a single light source and a single optical chip. An infrared laser is beamed into a chip called a frequency comb that splits the light into hundreds of different frequencies, or colors. Data can then be encoded into the light by modulating the amplitude, phase and polarization of each of these frequencies, before recombining them into one beam and transmitting it through optical fiber.

Al Rihla in Arabic means “a journey,” and perhaps this was one of the epic journeys of the technologically loaded football.

The FIFA World Cup official match ball, Al Rihla, has been launched into space and back in a football frenzy to garner attraction to the ongoing World Cup in Qatar.

From space to the football pitch. We brought the official football for FIFA World Cup Qatar, becoming part of this historical out-of-the-world journey together with.

The rules will go into effect starting in 2023.

China has issued rules and guidelines that regulate the use of artificial intelligence within the country. The regulations are cautious when it comes to AI. This includes the trending AI chatbots, such as ChatGPT, AI-generated art, the many methods of utilizing AI in the health care sector and all forms of artificial intelligence, in general.

The Cyberspace Administration of China (CAC), has issued a set of rules to follow when incorporating AI. The CAC is the internet regulator and censor in China. The agency released guidelines on “deep synthesis”. The regulatory measures will take effect starting on Jan. 10, 2023.

Kindly see my latest FORBES article:

In the piece I explore some of the emerging tech that will impact our coming year. Thank you for reading and sharing!


2022 was a transformative year for technological innovation and digital transformation. The trend will continue as the pace of innovation and development of potentially disruptive emerging technologies exponentially increases every year. The question arises, what lies ahead for tech for us to learn and experience in 2023?

While there are many impactful tech topics such as the Internet of Things, 5G, Space, Genomics, Synthetic Biology, Automation, Augmented Reality, and others, there are four tech areas to keep a keen watch on this coming year as they have promising and near-term capabilities to transform lives. They include: 1) artificial intelligence, 2) computing technologies, 3) robotics, and 4) materials science.

Could video streaming be as bad for the climate as driving a car? Calculating Internet’s hidden carbon footprint.

We are used to thinking that going digital means going green. While that is true for some activities — for example, making a video call to the other side of the ocean is better than flying there — the situation is subtler in many other cases. For example, driving a small car to the movie theatre with a friend may have lower carbon emissions than streaming the same movie alone at home.

How do we reach this conclusion? Surprisingly, making these estimates is fairly complicated.

If you’re one of the billions of people who have posted pictures of themselves on social media over the past decade, it may be time to rethink that behavior. New AI image-generation technology allows anyone to save a handful of photos (or video frames) of you, then train AI to create realistic fake photos that show you doing embarrassing or illegal things. Not everyone may be at risk, but everyone should know about it.

Photographs have always been subject to falsifications—first in darkrooms with scissors and paste and then via Adobe Photoshop through pixels. But it took a great deal of skill to pull off convincingly. Today, creating convincing photorealistic fakes has become almost trivial.

Once an AI model learns how to render someone, their image becomes a software plaything. The AI can create images of them in infinite quantities. And the AI model can be shared, allowing other people to create images of that person as well.

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