🛸 Can AI Find Aliens First?

Good Morning from the Promptbox Team!

We have a quick news day for you, with the big story being that AI can now help search for extraterrestrials by detecting the origins of samples found on Earth.

The crazy part? 

Scientists don't know how the AI works as its decisions are made in a "black-box" model.

With yesterday's story that scientists believe AI will be able to translate crow and dolphin sounds within the next 18 months, 2024 will be wild.

It’s Wednesday. Let's get it.

Kevin

In the ever-evolving quest to discover extraterrestrial life, scientists have unveiled a cutting-edge AI tool that holds promise in determining the origins of samples from Earth and beyond.

Key Facts:

• New AI Tool: A team led by Robert Hazen from Carnegie Science and Jim Cleaves of Tokyo Tech have developed a machine-learning algorithm that can determine the origin of samples, achieving a 90% accuracy rate in distinguishing between biological and nonbiological sources.

• Mystery Behind Its Function: The intricacies of the algorithm remain largely unknown, as the AI system's decisions are made within a "black-box" model – where only the inputs and outputs are discernible. This leaves researchers puzzled about its decision-making process.

• Potential in Space Exploration: The AI's groundbreaking technique could be deployed almost instantly to analyze rocks from Mars or ancient samples from Earth. With planned missions to Mars on the horizon, space agencies might use this technology to look for signs of life before the samples are even returned to Earth.

In light of this innovative approach, the implications are enormous. Not only could it transform the ways scientists study samples from outer space, but it also has the potential to redefine how we understand and search for life beyond our planet.

While the algorithms aren't yet fully autonomous, their development suggests a future where AI could transcend human limitations in the search for extraterrestrial answers.

Check out the full story below.

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Promptbox’s Top Trending AI Stories:

SHOPPING
A new feature in the Klarna app will let users point their phone at an item of clothing or electronics gadget and find results for similar products.
Similar to how Google Lens directs users to suggestions based on items captured by their camera, Klarna is trained on data from PriceRunner, a price comparison service recently acquired for close to $1 billion.

VALUATION
Pranjali Awasthi, a 16-year-old Indian prodigy has made it into the technology world with her venture, Delv.AI, a startup dedicated to refining the process of data extraction for research.
She explained that Delv.AI's primary objective is to aid researchers in accessing specific information within the realm of online content. Delv.AI raised $450,000 (approximately ₹ 3.7 crore) in funding and currently boasts an approximate valuation of $12 million (Rs 100 crore).

ENERGY
An academic has crunched the numbers to show how the energy demands of artificial intelligence (AI) could be equivalent to those of an entire country.
Another potential pitfall of AI could be on the horizon, with experts warning the computing power needed to run the necessary algorithms and machine learning processes could contribute to climate change due to the amount of energy it uses.

JOB MARKET
An IE University study showed that, out of a sample of 3,000 Europeans, 68% want their governments to introduce rules to safeguard jobs from AI advancement.
A majority of Europeans want government restrictions on artificial intelligence to mitigate the impacts of the technology on job security, according to a major new study from Spain’s IE University.

AGING
Utilizing artificial intelligence, researchers developed “HistoAge,” an algorithm predicting age at death and unraveling the enigmas of brain aging and neurodegenerative disorders.
By analyzing nearly 700 digitized hippocampal sections from elderly brain donors, the tool forecasts age with striking accuracy and identifies regions susceptible to age-related changes.

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