Lifeboat Foundation

A deep dive into how AI is breathing new life into biological research.

The AI scene is electrified with groundbreaking advancements this month, keeping us all at the edge of our seats. A mind-blowing AI robot with human-like intelligence has the world in shock. Google DeepMind’s JEST AI learns at an astonishing 13x faster pace. OpenAI’s SearchGPT and CriticGPT, the force behind ChatGPT’s prowess, are disrupting industries. STRAWBERRY, their most powerful AI yet, takes center stage. GPT4ALL 3.0 is the AI sensation causing a frenzy, while OpenAI’s AI Health Coach promises personalized wellness solutions. Llama 3.1 emerges as a contender, and NeMo AI boasts a massive 128k context capacity, running locally and free. Microsoft’s new AI Search could redefine how we navigate information, while OpenAI’s latest unnamed model has the tech world buzzing with anticipation.

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Continue reading “AI Shocks Again: AI Robots with Human Brain, AGI, OpenAI, DeepMind & More (July Monthly News)” »

Researchers at Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at the University of Nottingham have developed ultra-thin soft robots, designed for exploring narrow spaces in challenging built environments. The research is published in the journal Nature Communications.

These advanced robots, featuring multimodal locomotion capabilities, are set to transform the way industries, such as power plants, bridges and aero engines, conduct inspections and maintenance.

The innovative robots, known as Thin Soft Robots (TS-Robots), boast a thin thickness of just 1.7mm, enabling them to access and navigate in confined spaces, such as millimeter-wide gaps beneath doors or within complex machinery.

Google researchers have created an innovative AI model called Health Acoustic Representations (HeAR), designed to identify acoustic biomarkers for diseases like tuberculosis.

It can listen to human sounds and flag early signs of disease.

Continue reading “New AI model helps researchers detect disease based on coughs” »

The team was able to recreate NASA’s iconic “Pillars of Creation” image from the James Webb Space Telescope data — originally created by a supercomputer — using just a tabletop computer.

Game Developer jourverse, who is currently working on a tutorial series focused on building a traffic system in Unreal Engine 5, shared a demo project file for this procedural road network integrated with vehicle AI for obstacle avoidance, using A* for pathfinding.

The developer explained that both the A* algorithm and the road editor mode are implemented in C++, with no use of neural networks. Vehicle AI operations like spline following, reversing, and performing 3-point turns are handled through Blueprints. The vehicle AI navigates using two paths: the green spline for the main route and the blue spline for obstacle avoidance. The main spline leverages road network nodes to determine the path to the target via A* on FPathNode, which includes adjacent road nodes.

For obstacle detection, the vehicle employs polynomial regression to predict its future position. Upon detecting an obstacle, a grid of sphere traces is generated to map the obstacle’s location, and another A* algorithm is employed to create a path around the obstacle.

With maps of the connections between neurons and artificial intelligence methods, researchers can now do what they never thought possible: predict the activity of individual neurons without making a single measurement in a living brain.

For decades, neuroscientists have spent countless hours in the lab painstakingly measuring the activity of neurons in living animals to tease out how the brain enables behavior. These experiments have yielded groundbreaking insights into how the brain works, but they have only scratched the surface, leaving much of the brain unexplored.

Now, researchers are using artificial intelligence and the connectome—a map of neurons and their connections created from brain tissue —to predict the role of neurons in the living brain. Their paper has been published in the journal Nature.

Read about the importance of International Observe the Moon Night and how you can celebrate it on September 14, 2024!

Beginning in 2010, NASA began International Observe the Moon Night based on two events occurring simultaneously in 2009 during the International Year of Astronomy celebration: “We’re at the Moon!”, which was sponsored by the Lunar Reconnaissance Orbiter (LRO) and the Lunar Crater Observation and Sensing Satellite (LCROSS) teams, and “National Observe the Moon Night”, which was hosted in the United States.

This year’s International Observe the Moon Night is occurring on September 14 with the goal of sharing the incredible science and wonder of the Moon, including its observational and scientific history, why it’s so important to study, and how we’re studying it. For example, evidence has suggested that ancient humans as far back as 20,000 years ago used the Moon as a timekeeping device due to the changing phases of the Moon over the course of a month. Additionally, when observing the Moon with either the naked eye or a telescope, the Moon’s surface exhibits both bright and dark colors, which are the Moon’s lava plains and highlands, respectively.

Continue reading “Celebrate this year’s International Observe the Moon Night on September 14, 2024” »

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