Lifeboat Foundation

AlphaQubit: an AI-based system that can more accurately identify errors inside quantum computers.

AlphaQubit is a neural-network based decoder drawing on Transformers, a deep learning architecture developed at Google that underpins many of today’s large language models. Using the consistency checks as an input, its task is to correctly predict whether the logical qubit — when measured at the end of the experiment — has flipped from how it was prepared.

We began by training our model to decode the data from a set of 49 qubits inside a Sycamore quantum processor, the central computational unit of the quantum computer. To teach AlphaQubit the general decoding problem, we used a quantum simulator to generate hundreds of millions of examples across a variety of settings and error levels. Then we finetuned AlphaQubit for a specific decoding task by giving it thousands of experimental samples from a particular Sycamore processor.

Continue reading “AlphaQubit tackles one of quantum computing’s biggest challenges” »

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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Continue reading “Sam Altman ‘Level 4 Innovator is MUCH closer’ | PLUS ‘Unsupervised Sentiment Neuron’ breakthrough” »

We converted the calculations in Morgan Levine and Steve Horvath’s famous research paper on phenotypic age into a free biological age calculator.

It’s a great (cheap) alternative to $400 epigenetic age tests and means you can test more frequently to see if longevity interventions are actually…

This free biological age calculator is based on a pioneering paper by longevity experts Dr. Morgan Levine and Dr. Steve Horvath.

Continue reading “Free Biological Age Calculator” »

Collaboration with Google and Qualcomm brings Samsung’s smart glasses to market.

As artificial intelligence (AI) becomes more common and sophisticated, its effects on human lives and societies raises new questions. A new paper published in The Quarterly Review of Biology posits how these new technologies might affect human evolution.

In “How Might Artificial Intelligence Influence Human Evolution?” author Rob Brooks considers the inevitable but incremental evolutionary consequences of AI’s everyday use and human-AI interactions—without “dramatic but perhaps unlikely events, including possibilities of human annihilation, assimilation, or enslavement.”

In the paper, Brooks considers (“often with considerable speculation”) some possible forms of human-AI interaction and the evolutionary implications of such interactions via natural selection, including forms of selection that resemble the inadvertent and deliberate selection that occurred when humans domesticated crops, livestock, and companion animals.

Visual scans of the world have helped Niantic build what it calls a “Large Geospatial Model.”

From repairing deadly brain bleeds to tackling tumors with precise chemotherapy, micro/nano-robots (MNRs) are a promising, up-and-coming tool that have the power to substantially advance health care. However, this tool still has difficulty navigating within the human body—a limitation that has prevented it from entering clinical trials.

Mathematical models are crucial to the optimal design and navigation of MNRs, but the current models are inadequate. Now, new, promising research from the University of Saskatchewan (USask) may allow MNRs to overcome the limitations that previously prevented their widespread use.

USask College of Engineering professor Dr. Chris Zhang (Ph. D.) and two Ph.D. students (Lujia Ding, N.N Hu) along with two USask alumni (Dr. Bing Zhang (Ph. D.), Dr. R. Y. Yin (Ph. D.)) are the first team to develop a highly accurate mathematical model that optimizes the design of MNRs which improves their navigation, allowing them to travel efficiently through the bloodstream. Their work was recently published in Nature Communications.

Scientists are combining AI machine learning with mechanical testing to improve plant-based meat.

By Adam Protz

Okay everyone is stressing about filing taxes. However new tools to help you have been developed. Artificial Intelligence is one. There are many tools out there. Here is one. Just do some research and pick the best tool for you.

AI-powered tax assistant for accountants & tax pros. TaxGPT co-pilot boosts productivity by 10x. Secure & accurate. Save time and streamline operations.