Lifeboat Foundation

A new study discusses how high-fidelity quantum information could be sent through fiber optic networks by a novel atomic device.

Did you know quantum transmissions can’t be amplified over a city or an ocean like conventional data signals? Instead, they have to be periodically repeated using specialized devices called quantum repeaters.

For the technology to be used in future communications networks, researchers have developed a novel method of connecting quantum devices over great distances.

AI helps implants work better, preventing diseases before they happen despite immune system challenges.

Imagine your body had an implant that could continuously monitor the occurrence of diseases and infections and immediately release medications to prevent them. Wouldn’t that be ideal, especially for patients who suffer from conditions like heart failure, diabetes, and asthma?

Continue reading “AI can make implants last longer inside the human body” »

The AI won 15 of the 25 races against humans and led the fastest time on the track by more than half a second.

Researchers at the University of Zurich in Switzerland have developed an artificial intelligence (AI) system that can not only fly drones but also beat human counterparts who are champions, according to a press release published in Nature.

Continue reading “Swiss researchers invent drone-flying AI that tops champions” »

The mission will observe the Sun from a unique vantage point and explore its activity and influence on space weather.

As nations across the world expand their exploratory missions into outer space, India is taking a crucial leap forward by setting its sights on our solar system’s most vital celestial body: the Sun. Slated for launch on September 2nd, India’s first-ever solar mission, Aditya-L1, has arrived at its launch pad at the Sathish Dhawan Space Centre SHAR in Sriharikota, off the eastern coast of India.

Source: ISRO

Continue reading “Aditya-L1: India’s maiden Sun mission to lift off Sept 2” »

Bearacreative/iStock.

This is according to a press release by the University of Waterloo published on Monday.

Bacteria that can align themselves with the Earth’s magnetic field have been found in a new habitat. Previously spotted on land and in shallow waters, these magnetotactic bacteria have now been confirmed to thrive in the depths of a hydrothermal vent. Despite the challenging conditions, the bacteria were able to adapt and survive in an environment that was not ideal for their typical needs.

Magnetotactic bacteria are of interest not only for the role they play in Earth’s ecosystem but also in the search for extraterrestrial life. Evidence of their existence can remain in rocks for billions of years. Their magnetic inclinations can also provide a record of how magnetic poles have shifted over time. This new discovery brings hope to researchers that the magnetic bacteria might be found in yet more unexpected locations, on Earth and perhaps even on Mars.

Mars is the second smallest planet in our solar system and the fourth planet from the sun. It is a dusty, cold, desert world with a very thin atmosphere. Iron oxide is prevalent in Mars’ surface resulting in its reddish color and its nickname “The Red Planet.” Mars’ name comes from the Roman god of war.

We believe artificial intelligence has the power to save the world —and that a thriving open source ecosystem is essential to building this future.

Thankfully, the open source ecosystem is starting to develop, and we are now seeing open source models that rival closed-source alternatives. Hundreds of small teams and individuals are also working to make these models more useful, accessible, and performant.

These projects push the state of the art in open source AI and help provide a more robust and comprehensive understanding of the technology. They include: instruction-tuning base LLMs; removing censorship from LLM outputs; optimizing models for low-powered machines; building novel tooling for model inference; researching LLM security issues; and many others.

Large language models (LLMs) are ushering in a revolutionary era with their remarkable capabilities. From enhancing everyday applications to transforming complex systems, generative AI is becoming an integral part of our lives.

However, the surge in demand for AI-powered solutions exposes a critical challenge: the scarcity of computational resources required to meet the growing appetite for logic and voice-based interfaces. This scarcity leads to a pressing need for cost-efficient platforms that can support the development and deployment of LLMs.

Industrializing AI software development will require transforming the processes for developing, deploying and maintaining AI systems from a research or ad-hoc approach into a structured, systematic and scalable industrial process. By focusing on cloud cost optimization and platform engineering, businesses can foster growth, profitability, and innovation in the field of AI.

Sensors can detect bacteria and viruses, toxins, or other contaminants.