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Innovative robotic slip-prevention method could bring human-like dexterity to industrial automation

A new slip-prevention method has been shown to improve how robots grip and handle fragile, slippery or asymmetric objects, according to a University of Surrey–led study published in Nature Machine Intelligence. The innovation could pave the way for safer, more reliable automation across industries ranging from manufacturing to health care.

In the study, researchers from Surrey’s School of Computer Science and Electronic Engineering demonstrated how their approach allows robots to predict when an object might slip—and adapt their movements in to prevent it.

Similar to the way humans naturally adjust their motions, this bio-inspired method outperforms traditional grip-force strategies by allowing robots to move more intelligently and maintain a secure hold without simply squeezing harder.

“He’s like an extremely intelligent, capable person”. Altman believes that artificial intelligence could destroy entire categories of professions

OpenAI CEO Sam Altman warns that artificial intelligence could destroy entire job categories, saying it could replace support workers because it «makes no mistakes.»

AI kills for the first time. Leak shows why “we are near the end” — Hinton

If you create something that mimics you be aware that it will try to self-preserve when it sees you as a treath.


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AI tool spots hidden heart disease using routine electrocardiogram data

With the help of artificial intelligence (AI), an inexpensive test found in many doctors’ offices may soon be used to screen for hidden heart disease.

Structural heart disease, including valve disease, congenital heart disease, and other issues that impair heart function, affects millions of people worldwide. Yet in the absence of a routine, affordable screening test, many structural heart problems go undetected until significant function has been lost.

“We have colonoscopies, we have mammograms, but we have no equivalents for most forms of heart disease,” says Pierre Elias, assistant professor of medicine and biomedical informatics at Columbia University Vagelos College of Physicians and Surgeons and medical director for artificial intelligence at NewYork-Presbyterian.

Humans beat AI at international math contest despite gold-level AI scores

Humans beat generative AI models made by Google and OpenAI at a top international mathematics competition, despite the programs reaching gold-level scores for the first time.

Neither model scored full marks—unlike five young people at the International Mathematical Olympiad (IMO), a prestigious annual competition where participants must be under 20 years old.

Google said Monday that an advanced version of its Gemini chatbot had solved five out of the six set at the IMO, held in Australia’s Queensland this month.

Navigating protein landscapes with a machine-learned transferable coarse-grained model

Designing simplified models for protein simulation has been a significant challenge for several decades. Using a diverse set of test proteins, and a deep-learning architecture, we have now developed a simple and chemically transferable force field for efficient simulation of protein sequences.

AI helps Latin scholars decipher ancient Roman texts

Around 1,500 Latin inscriptions are discovered every year, offering an invaluable view into the daily life of ancient Romans—and posing a daunting challenge for the historians tasked with interpreting them.

But a new artificial intelligence tool, partly developed by Google researchers, can now help Latin scholars piece together these puzzles from the past, according to a study published on Wednesday.

Inscriptions in Latin were commonplace across the Roman world, from laying out the decrees of emperors to graffiti on the city streets. One mosaic outside a home in the ancient city of Pompeii even warns: “Beware of the dog”

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