Category Physics

AI Systems are Already Skilled at Deceiving and Manipulating Humans, study shows

Many artificial intelligence (AI) systems have already learned how to deceive humans, even systems that have been trained to be helpful and honest. In a review article published in the journal Patterns on May 10, researchers describe the risks of deception by AI systems and call for governments to develop strong regulations to address this issue as soon as possible.

“AI developers do not have a confident understanding of what causes undesirable AI behaviors like deception,” says first author Peter S. Park, an AI existential safety postdoctoral fellow at MIT. “But generally speaking, we think AI deception arises because a deception-based strategy turned out to be the best way to perform well at the given AI’s training task. Deception helps them achieve their goals.”

Park and coll...

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Robotic System Feeds People with Severe Mobility Limitations

A robotic system developed by Cornell researchers feeds a student participant during a lab demonstration.
A robotic system developed by Cornell researchers feeds a student participant during a lab demonstration.

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebralpalsy and multiple sclerosis.

“Feeding individuals with severe mobility limitations with a robot is difficult, as many cannot lean forward and require food to be placed directly inside their mouths,” said Tapomayukh “Tapo” Bhattacharjee, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science and senior developer behind the system...

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New Machine Learning Algorithm Promises Advances in Computing

Scientists are working toward deploying a new of edge computing  hardware.
Scientists are working toward deploying a new class of edge computing hardware.
Photo: Getty Images

Digital twin models may enhance future autonomous systems

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Using machine learning tools to create a digital twin, or a virtual copy, of an electronic circuit that exhibits chaotic behavior, researchers found that they were successful at predicting how it would behave and using that information to control it.

Many everyday devices, like thermostats and cruise control, utilize linear controllers — which use simple rules to direct a system to a desired value...

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A New, Low-Cost, High-Efficiency Photonic Integrated Circuit

A new, low-cost, high-efficiency photonic integrated circuit

The rapid advancement in photonic integrated circuits (PICs), which combine multiple optical devices and functionalities on a single chip, has revolutionized optical communications and computing systems.

For decades, silicon-based PICs have dominated the field due to their cost-effectiveness and through their integration with existing semiconductor manufacturing technologies, despite their limitations with regard to their electro-optical modulation bandwidth. Nevertheless, silicon-on-insulator optical transceiver chips were successfully commercialized, driving information traffic through millions of glass fibers in modern data centers.

Recently, the lithium niobate-on-insulator wafer platform has emerged as a superior material for photonic integrated electro-optical modulators d...

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