Lifeboat Foundation

CAMBRIDGE, England, Oct. 15, 2024 — Nu Quantum has announced a proof-of-principle prototype that advances the development of modular, distributed quantum computers by enabling connections across different qubit modalities and providers. The technology, known as the Qubit-Photon Interface, functions similarly to Network Interface Cards (NICs) in classical computing, facilitating communication between quantum computers over a network and supporting the potential growth of quantum infrastructure akin to the impact NICs have had on the Cloud and AI markets.

For quantum computers to achieve practical applications—such as accurately simulating atomic-level interactions—they must scale to 1,000 times their current size. This will require a shift from single quantum processing units (QPUs) to distributed quantum systems composed of hundreds of interconnected QPUs, operating at data center scale, similar to cloud and AI supercomputers.

The efficient transfer of quantum information between matter and light at the quantum level is the biggest challenge to scaling quantum computers, and this is the specific issue that the QPI addresses.

There are four essential characteristics of human intelligence that current AI systems donft possess: reasoning, planning, persistent memory, and understanding the physical world. Once we have systems with such capabilities, it will still take a while before we bring them up to human level.

CRISPR-Cas is used broadly in research and medicine to edit, insert, delete or regulate genes in organisms. TnpB is an ancestor of this well-known “gene scissors” but is much smaller and thus easier to transport into cells.

Using protein engineering and AI algorithms, University of Zurich researchers have now enhanced TnpB capabilities to make DNA editing more efficient and versatile, paving the way for treating a genetic defect for high cholesterol in the future. The work has been published in Nature Methods.

CRISPR-Cas systems, which consist of protein and RNA components, were originally developed as a natural defense mechanism of bacteria to fend off intruding viruses. Over the last decade, re-engineering these so-called “gene scissors” has revolutionized genetic engineering in science and medicine.

The creatures can chat with visitors via mobile, with personalities and accents.

Dead animals at Cambridge’s Museum of Zoology will converse with visitors using AI to share their life stories.

🗣️ Listen to what Franz said about it!

👀 So many signature Tesla design cues when you take a closer look.

🫶 This is favourite product of WE ROBOT.

Continue reading “POV: A complete tour of the Tesla Robovan Interior!” »

TSMC’s 3nm process is set to receive massive adoption in the AI sector, as Intel, NVIDIA, & AMD plan on utilizing the technology in their next-gen accelerators.

TSMC’s 3nm Process Is demanding in The Tech Markets As It Manages To Capture Most Of The Market Share: NVIDIA Rubin, AMD MI355X & Intel’s Falcon Shores For Next-Gen AI Markets

The Taiwan giant’s next node is said to be highly demanding in the markets, mainly because mainstream tech companies have revolved their upcoming product portfolios around the process. Notable examples include Apple for its upcoming A19 Pro chip, MediaTek’s Dimensity 9,400, and even Google’s Tensor G5. And now, it looks like we have clarity on the adoption of TSMC’s 3nm by the AI tech giants, such as NVIDIA and AMD out there, with a new report by Ctee now showing us where the process is expected to be integrated when it comes to AI portfolios.

Artificial intelligence has the potential to significantly boost margins across various industries in the coming years, most notably software, semiconductors, and energy.

Nvidia has announced its new generative AI systems that already rival ChatGPT…just not in the way you expect.

Nvidia shares closed at an all-time high on Monday as the chipmaker continues to ride a massive wave of demand for its artificial intelligence chips.