Lifeboat Foundation

Researchers at the University of Sydney Nano Institute have invented a compact silicon semiconductor chip that integrates electronics with photonic, or light, components. The new technology significantly expands radio-frequency (RF) bandwidth and the ability to accurately control information flowing through the unit.

Expanded bandwidth means more information can flow through the chip and the inclusion of photonics allows for advanced filter controls, creating a versatile new semiconductor device.

Researchers expect the chip will have applications in advanced radar, satellite systems, wireless networks and the roll-out of 6G and 7G telecommunications and also open the door to advanced sovereign manufacturing. It could also assist in the creation of high-tech value-add factories at places like Western Sydney’s Aerotropolis precinct.

The network’s total capacity will surpass 500 Gbps by 2025.

While China is already marching ahead with its internet infrastructure, the country has announced the completion of its first high-orbit satellite communication network, which aims to provide fast and reliable internet service within its territory and to several countries along its Belt and Road initiative.

The network, which consists of three high-throughput satellites named ChinaSat 16, 19, and 26, is expected to compete with SpaceX’s Starlink, a low-orbit satellite system developed by the American aerospace company, according to a Beijing-based communications expert.

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Chinese researchers report the successful quantum storage of entangled photons at telecom wavelengths within a crystal, in a breakthrough achievement that reportedly lasted 387 times longer than past similar experiments.

The research team, based at Nanjing University, says their findings could potentially “pave the way for realizing quantum networks based on solid-state devices.”

The Coming Quantum Internet

The co-founder of website builder Wix is embracing generative AI, and he’s not too worried that it might destroy the business models of the web.

Wix CEO Avishai Abrahami is embracing generative AI and thinks the business models of the web can survive it.

AI agents are what they ingest. Rather than scraping the internet, it would be better to confine their diets to books and encyclopedias, says Sorin Adam Matei.

Elon Musk is hyping the imminent release of his ChatGPT competitor Grok, yet another example of how his entire personality is just itself a biological LLM made by ingesting all of Reddit and 4chan. Grok already seems patterned in many ways off of the worst of Elon’s indulgences, with the sense of humor of a desperately unfunny and regressive internet troll, and biases informed by a man whose horrible, dangerous biases are fully invisible to himself.

There are all kinds of reasons to be wary of Grok, including the standard reasons to be wary of any current LLM-based AI technology, like hallucinations and inaccuracies. Layer on Elon Musk’s recent track record for disastrous social sensitivity and generally harmful approach to world-shaping issues, and we’re already looking at even more reason for concern. But the real risk probably isn’t yet so easy to grok, just because we have little understanding yet of the extent of the impact that widespread use of LLMs across our daily and online lives will have.

One key area where they’re already having and are bound to have much more of an impact is user-generated content. We’ve seen companies already deploying first-party integrations that start to embrace some of these uses, like Artifact with its AI-generated thumbnails for shared posts, and Meta adding chatbots to basically everything. Musk is debuting Grok on X as a feature reserved for Premium+ subscribers initially, with a rollout supposedly beginning this week.

Though SpaceX has yet to confirm, navigational warnings indicate a 4½-hour launch window will open from 11 p.m. Monday to 3:31 a.m. EST Tuesday.

Why it matters: While AI algorithms are seemingly everywhere, processing on the most popular platforms require powerful server GPUs to provide customers with their generative services. Arm is introducing a new dedicated chip design, set to provide AI acceleration even in the most affordable IoT devices starting next year.

The Arm Cortex-M52 is the smallest and most cost-efficient processor designed for AI acceleration applications, according to the company. This latest design from the UK-based fabless firm promises to deliver “enhanced” AI capabilities to Internet of Things (IoT) devices, as Arm states, without the need for a separate computing unit.

Paul Williamson, Arm’s SVP and general manager for the company’s IoT business, emphasized the need to bring machine learning optimized processing to “even the smallest and lowest-power” endpoint devices to fully realize the potential of AI in IoT. Despite AI’s ubiquity, Williamson noted, harnessing the “intelligence” from the vast amounts of data flowing through digital devices requires IoT appliances that are smarter and more capable.

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