Lifeboat Foundation

Alexander Britkin is the CEO of NFWare.

Digital transformation is accelerating at an unprecedented rate—and the telecommunications industry must evolve rapidly to meet demands for connectivity and performance. Telecom operators need to keep pace with network infrastructure developments to remain competitive and continue meeting customers’ short-and long-term needs. The following six trends are shaping the future of network infrastructure for telecom operators.

In less than 50 years, the internet has experienced explosive growth, far beyond the expectations of its creators. The internet’s original architecture, built in the 1970s, assigned each connected device a unique 32-bit number—an IPv4 (internet protocol version 4) address—to exchange information with other online devices. The initial bank of available IPv4 addresses totaled around 4.2 billion, which seemed substantial at the time, but demand has already greatly exceeded supply.

SpaceX was founded to increase access to space and help make life multiplanetary.

In just this year, we’ve launched 114 successful Falcon missions and counting for our commercial and government customers, deployed ~1,700 @Starlink satellites to provide high-speed internet for millions of people all around the world, and made extraordinary strides developing Starship’s capability to return humanity to the Moon and ultimately send people to Mars.

Continue reading “Making Life Multi-Planetary” »

Your favorite commercial carrier might still be dragging its feet on whether to provide passengers with high-speed internet onboard using Starlink. But SpaceX’s offering is already the favorite for makers of supersonic and hypersonic planes.

CEOs of futuristic airplane companies Hermeus and Boom have confirmed that their prototype planes are using Starlink already, a report said.

SpaceX’s Starlink uses a massive fleet of over 3,500 satellites in low Earth orbit (LEO) to offer high-speed internet services to customers in major parts of the world.

Called Evo, the AI was inspired by the large language models, or LLMs, underlying popular chatbots such as OpenAI’s ChatGPT and Anthropic’s Claude. These models have taken the world by storm for their prowess at generating human-like responses. From simple tasks, such as defining an obtuse word, to summarizing scientific papers or spewing verses fit for a rap battle, LLMs have entered our everyday lives.

If LLMs can master written languages—could they do the same for the language of life?

This month, a team from Stanford University and the Arc Institute put the theory to the test. Rather than training Evo on content scraped from the internet, they trained the AI on nearly three million genomes—amounting to billions of lines of genetic code—from various microbes and bacteria-infecting viruses.

Gwynne Shotwell discusses the transformative potential of SpaceX’s Starship program for space exploration and colonization, emphasizing its upcoming Flight 6, the importance of Starlink for revenue, and the integration of Tesla technologies for sustainable human habitats on Mars Questions to inspire discussion Launch.

From education to work and leisure, internet access is essential to modern life. Yet, since the first days of the world wide web, this access has been unequal. The US, France and the UK gained a headstart in the 1990s and developing countries have been seeking to catch up ever since.

One region where this process is now complete is the Arabian Peninsula. From relative obscurity in connectivity rankings three decades ago, countries such as the United Arab Emirates (UAE) and Qatar have leapfrogged their Western peers. Look at measures of internet speeds, in fact, and the UAE now leads the world.¹ Having delivered internet access at home, e& (etisalat and), the telecommunications giant and leading global technology group headquartered in the UAE, hopes to expand connectivity worldwide.

To many small-business owners, AI still seems like something out of a sci-fi film—abstract, intimidating and not applicable to their lives. While there are many AI business tools available on the market today, most tools aren’t accessible or intuitive enough for the average small-business owner.

In theory, AI can help some SMBs with marketing, product adjustments, bookkeeping, decision-making and more. However, these tools are based on global data found on the web and are blind to business-specific data. Therefore, they don’t take important parameters like the small business’s location, industry and size into account.

To harness the true potential of AI and obtain truly valuable insights, AI systems need detailed information about the business history and future goals of the SMB. This tailored approach ensures that AI tools are not just functional but are strategic assets that contribute meaningfully to business growth and decision-making.

At the GlobalFoundries Technology Summit 2024, the company brought together its customers and partners from around the world. The theme was “AI Everywhere” as AI has impacted everything from IoT to the datacenter. However, the focus was on its core markets: aerospace, defense and critical infrastructure, automotive, communications and data center infrastructure, industrial IoT, and mobile devices.

RF

One key technology for many of those markets is RF (Radio Frequency) chips for mobile devices, communications infrastructure, and aerospace. GF’s mainstream RF offerings use Silicon on Insulator (SOI) wafer technology. But GF also has Silicon Germanium (SiGe) and Gallium Nitride (GaN) processes as well. With this level of diverse RF technologies, the company is well positioned for future 5G NR cellular developments and beyond, including the growth of FR2 (above 24GHz) and FR3 (7.1GH to 24GHz) bands.

A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.

Over the past several decades, political divides have become common in many countries—most have been labeled as either liberal or conservative. The advent of the internet has served as fuel, allowing people from either side to promote their opinions to a wide audience, generating anger and frustration. Unfortunately, no tools have surfaced to diffuse the tension of such a political climate. In this new effort, the team at DeepMind suggests AI tools such as LLMs may fill that gap.

To find out if LLMs could serve as effective mediators, the researchers trained LLMs called Habermas Machines (HMs) to serve as caucus mediators. As part of their training, the LLMs were taught to identify areas of overlap between viewpoints of people in opposing groups—but not to try to change anyone’s opinions.