Lifeboat Foundation

How can machine learning help individuals with type 1 diabetes (T1D)? This is what a study presented at this year’s Annual Meeting of the European Association for the Study of Diabetes (EASD) hopes to address as a team of researchers have developed a system using machine learning capable of managing blood sugars levels with such proficiency that those using system were able to lead lives far more active than the average T1D patient.

For the study, the researchers developed the AID system, which uses closed-loop technology that delivers insulin based on readings from the machine learning algorithm, resulting in a 50-year-old man, a 40-year-old man, and a 34-year-old woman with T1D being able to run hours-long marathons in Tokyo, Santiago, and Paris, respectively. This study holds the potential to help develop better technology capable of allowing T1D diabetes patients to stay in shape without constantly fearing for their blood sugar levels, which can lead to long-term health problems, including hyperglycemia, nerve damage, or a heart attack.

“Despite better systems for monitoring blood sugars and delivering insulin, maintaining glucose levels in target range during aerobic training and athletic competition is especially difficult,” said Dr. Maria Onetto, who is in the Department of Nutrition at the Pontifical Catholic University of Chile and lead author of the study. “The use of automated insulin delivery technology is increasing, but exercise continues to be a challenge for individuals with T1D, who can still struggle to reach the recommended blood sugar targets.”

The first statistically significant results are in: not only can Large Language Model (LLM) AIs generate new expert-level scientific research ideas, but their ideas are more original and exciting than the best of ours – as judged by human experts.

Recent breakthroughs in large language models (LLMs) have excited researchers about the potential to revolutionize scientific discovery, with models like ChatGPT and Anthropic’s Claude showing an ability to autonomously generate and validate new research ideas.

This, of course, was one of the many things most people assumed AIs could never take over from humans; the ability to generate new knowledge and make new scientific discoveries, as opposed to stitching together existing knowledge from their training data.

A team of roboticists at the German Aerospace Center’s Institute of Robotics and Mechatronics finds that combining traditional internal force-torque sensors with machine-learning algorithms can give robots a new way to sense touch.

In their study published in the journal Science Robotics, the group took an entirely new approach to give robots a sense of touch that does not involve artificial skin.

Continue reading “Combining existing sensors with machine learning algorithms improves robots’ intrinsic sense of touch” »

New Android malware ‘Ajina. Banker’ targets bank customers in Central Asia, stealing financial data and intercepting 2FA messages via Telegram channels.

Vo1d malware infects 1.3M Android TV boxes in 197 countries. Learn about this new backdoor threat and how it compromises device security.

ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking—in hopes that generative AI chatbots provide more accurate and beneficial responses.

The new models, known as OpenAI o1-Preview, are designed to tackle complex tasks and solve more challenging problems in science, coding and mathematics, something that earlier models have been criticized for failing to provide consistently.

Unlike their predecessors, these models have been trained to refine their thinking processes, try different methods and recognize mistakes, before they deploy a final answer.

The ChatGPT maker reveals details of what’s officially known as OpenAI o1, which shows that AI needs more than scale to advance.

The following declassified nuclear test footage has been enhanced using AI with techniques such as slow motion, frame interpolation, upscaling, and colorization. This helps improve the clarity and visual quality of the original recordings, which were often degraded or limited by the technology of the time. Experiencing these shots with enhanced detail brings the devastating power of atomic weapons into focus and offers a clearer perspective on their catastrophic potential and impact.

Music generated with Suno AI.

Continue reading “Declassified Nuclear Tests — Enhanced with AI — Slow Motion” »

ChatGPT maker OpenAI is rumored to be imminently releasing a brand-new AI model, internally dubbed “Strawberry,” that has a “human-like” ability to reason.

As Bloomberg reports, a person familiar with the project says it could be released as soon as this week.

We’ve seen rumors surrounding an OpenAI model capable of reasoning swirl for many months now. In November, Reuters and The Information reported that the company was working on a shadowy project called Q — pronounced Q-Star — which was alleged to represent a breakthrough in OpenAI’s efforts to realize artificial general intelligence, the theoretical point at which an AI could outperform a human.