Lifeboat Foundation

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My name is Artem, I’m a computational neuroscience student and researcher. In this video we talk about the concept of critical point – how the brain might optimize information processing by hovering near a phase transition.

Continue reading “Brain Criticality — Optimizing Neural Computations” »

In recent years, the field of artificial intelligence has made tremendous strides, but what happens when #AI systems become #selfaware? In this video, we’ll explore the concept of AI self-awareness, its #scary implications for society, and what it means for the #future of AI.

AI self-awareness is the ability of an #artificialintelligence system to recognize its own existence and understand the consequences of its actions. While there are different levels of self-awareness that an AI system could potentially exhibit, it generally involves the system being able to recognize and respond to changes in its own state.
One way that researchers are exploring AI self-awareness is by using neural networks and other machine learning algorithms. For example, researchers have created AI systems that can recognize and respond to their own errors, which is an important first step in developing higher-order self-awareness.

Continue reading “WHAT happens When AI Becomes SELF-AWARE…” »

Despite AI’s impressive track record, its computational power pales in comparison with a human brain. Now, scientists unveil a revolutionary path to drive computing forward: organoid intelligence, where lab-grown brain organoids act as biological hardware.

Artificial intelligence (AI) has long been inspired by the human brain. This approach proved highly successful: AI boasts impressive achievements – from diagnosing medical conditions to composing poetry. Still, the original model continues to outperform machines in many ways. This is why, for example, we can ‘prove our humanity’ with trivial image tests online. What if instead of trying to make AI more brain-like, we went straight to the source?

Scientists across multiple disciplines are working to create revolutionary biocomputers where three-dimensional cultures of brain cells, called brain organoids, serve as biological hardware. They describe their roadmap for realizing this vision in the journal Frontiers in Science.

Summary: Scientists have developed a way to use artificial intelligence (AI) to find signs of life on other planets. They combined statistical ecology and machine learning to map the patterns and rules of how life survives in harsh environments on Earth, and then trained the AI to recognize those same patterns and rules in data from other planets. This method can help guide rovers and other exploration missions to places with the highest probability of containing life.

Source: SETI Institute.

Wouldn’t finding life on other worlds be easier if we knew exactly where to look? Researchers have limited opportunities to collect samples on Mars or elsewhere or access remote sensing instruments when hunting for life beyond Earth.

The development represents “an important advance in extraterrestrial research, in which biology has often lagged behind chemistry and geology.”

A new study has revealed a new way to enhance the search for aliens on Mars by teaching artificial intelligence to detect sites that could contain “biosignatures.”

And so, the researchers trained a deep learning framework to map biosignatures in a three-square-kilometer area of Chile’s Atacama Desert… More.

Continue reading “New AI tool can aid scientists in hunting for life on Mars” »

Its based model performs better than state-of-the-art models available today.

Search giant Google has completed the ‘critical first step’ toward building its artificial intelligence (AI) model that will support the world’s one thousand most-spoken languages. In a blog post the company released details about its Universal Speech Model (USM).

Google’s announcement is part of the build-up to its annual I/O event where it plans to unveil a slew of products powered by AI.

Continue reading “Google marks major milestone towards its 1,000-language AI model” »

The robots contain miniaturized sensors which are deployed as they traverse a cave or other subsurface environment.

Life on Mars is closer than you think. And researchers at the University of Arizona College of Engineering are already scouting real estate and house hunting. Their helpers? A flock of robots that can explore the subsurface environments on other worlds.

“Lava tubes and caves would make perfect habitats for astronauts because you don’t have to build a structure; you are shielded from harmful cosmic radiation, so all you need to do is make it pretty and cozy,” said Wolfgang Fink, an associate professor of electrical and computer engineering at UArizona.

Continue reading “Engineers develop robots to house-hunt and scout real estate in space” »

The new systems will complement teachers not replace them.

Artificial intelligence (AI) robots could soon be teaching in UAE classrooms, according to a report by the country’s The National published on Saturday.

This is according to comments made by the nation’s minister of education at an education conference.

It can’t fix the code when it does not work though.

The conversational chatbot from OpenAI, ChatGPT, has attracted the attention of users worldwide. However, the lesser-known tool called Codex from OpenAI has quickly become a top favorite among developers. Codex currently powers the Copilot feature on GitHub.

How does Open AI’s Codex work?

Continue reading “Open AI’s Codex tool claims to help developers write code faster, better” »