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Mastercard has announced that it has developed an in-house generative AI to help combat fraud on its payment processing network.

Instead of relying on textual inputs, Mastercard’s algorithm uses a cardholder’s merchant visit history as a prompt to determine whether a transaction involves a business that the customer would likely visit. The algorithm generates pathways through Mastercard’s network, akin to heat-sensing radar, to provide a score as an answer.

A lower score indicates a behavior that deviates from the cardholder’s usual pattern, while a higher score reflects typical behavior. Mastercard claims that this entire process takes only 50 milliseconds. And, it turns out, the AI appears to be very good at its job.

Continue reading “Mastercard’s new anti-fraud AI has a success rate of up to 300%” | >

NASA has set its sights on sending human crews back to the moon and establishing a permanent base on the lunar surface. The agency wants to return to the moon, build a lunar outpost, and eventually send humans to Mars. But these missions come with risks and challenges.

As humans venture deeper into space and explore other worlds, they face daunting challenges.

How will they survive the harsh and unpredictable environments they encounter? What if meteorites, radiation, or other hazards damage their habitats? Delegating routine tasks to machines could save them time and resources, but how will they make sure these machines are reliable? These are just some pressing questions that must be answered to travel safely and sustainably beyond Earth’s orbit.

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SNAP’s 144 gold-coated silicon microneedles, each shorter than a hundredth of an inch, can bypass pain receptors and ensure comfort during prolonged wear.

Engineers from Korea and the United States have developed a wearable patch, which is slated to have the potential to further technologies related to human-machine interaction and healthcare.

Like a Band-Aid, the stretchable microneedle adhesive patch (SNAP) sticks to your skin and detects signals from muscles. In tests, people used it to control robotic exoskeletons better. These machines copy and improve the strength of human muscles and bones.

The collaborative study was led by Jianliang Xiao, an associate professor in the Paul M. Rady Department of Mechanical Engineering at CU Boulder, and Jaewoong Jeong, an associate professor in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST).

Continue reading “Researchers unveil wearable patch for enhanced robotic exoskeleton control” | >

Artemis, a second-gen custom AI silicon

As per Reuters, the chip, dubbed “Artemis,” is the second generation of a custom silicon line that Meta unveiled last year. It could give Meta an edge over its rivals by reducing its reliance on Nvidia’s dominant chips and curbing the soaring costs of running AI applications.

Meta, the world’s largest social media network, has been investing heavily in boosting its computing power to support its ambitious AI vision. It wants to create immersive and interactive experiences for its billions of users across Facebook, Instagram, WhatsApp, and futuristic hardware devices like the Ray-Ban smart glasses.

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Starlab Space has chosen SpaceX to launch the private space station, Starlab, into low-Earth orbit (LEO) in just one flight.

Starlab Space is a transatlantic collaboration between Voyager Space and Airbus.

The announcement reveals that SpaceX’s Starship vehicle would undertake a single mission to transport the entire Starlab before the International Space Station’s (ISS) retirement, scheduled for 2030. However, the company’s release did not specify the launch date of Starlab.

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Using this technique, even a non-conducting material like glass could be turned into a conductor some day feel researchers.

A collaboration between scientists at the University of California, Irvine (UCI) and Los Alamos National Laboratory (LANL) has developed a method that converts everyday materials into conductors that can be used to build quantum computers, a press release said.

Computing devices that are ubiquitous today are built of silicon, a semiconductor material. Under certain conditions, silicon behaves like a conducting material but has limitations that impact its ability to compute larger numbers. The world’s fastest supercomputers are built by putting together silicon-based components but are touted to be slower than quantum computers.

Quantum computers do not have the same limitations of silicon-based ocmputing and prototypes being built today can compute in seconds what supercomputers would take years to complete. This can open up a whole new level of computing prowess if they could be built and operated with easier-to-work material. Researchers at UCI have been working to determine how high-quality quantum materials can be obtained. They have now found a simpler way to make them from everyday materials.

Continue reading “Tiny ‘bending station’ transforms everyday materials into quantum conductors” | >