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In creating a pair of new robots, researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia. By harnessing mycelia’s innate electrical signals, the researchers discovered a new way of controlling ‘biohybrid’ robots that can potentially react to their environment better than their purely synthetic counterparts.
In simulated life-or-death decisions, about two-thirds of people in a UC Merced study allowed a robot to change their minds when it disagreed with them—an alarming display of excessive trust in artificial intelligence, researchers said.
Meta has created CYBERSECEVAL 3, a new suite of security benchmarks for LLMs that benchmark AI models’ security risks and capabilities.Read More
The filmmakers behind Seeking Mavis Beacon wanted to know what happened to the Black woman who was paid only a couple hundred dollars to be the face of a wildly successful typing program. To find out, they had to do some “trolling.”
As the perpetrators of accounting fraud become ever more sophisticated in their techniques, fraud detection needs to step up its game. Thankfully, a group of researchers have devised a new machine learning ‘detective’ that is able to analyze not just fraud at a single firm, but predict likely fraud across whole supply chains and industries.
Now’s your chance to save cash on TVs, smart speakers, and Kindles.
The emerging discipline focuses on real-world application of AI research rooted in engineering — bringing science together with raw materials.Read More
Industry leaders at DataGrail Summit 2024 warn of AI’s exponential growth outpacing security measures, urging companies to invest in robust AI safety systems to mitigate risks and protect consumer trust.Read More
This hot tub is a cheap and easy way to relax—but it still requires a commitment.
Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a phenomenon called “quantum tunneling” to design a neural network that can “see” optical illusions in much the same way humans do.