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Called “Pibot,” this humanoid robot integrates large language models to help it fly any aircraft as well as, if not better than, a human pilot.

Researchers at the Korea Advanced Institute of Science & Technology (KAIST) are working to develop a humanoid pilot that can fly an aircraft without modifying the cockpit. Called “Pibot,” the robot has articulated arms and fingers that can interact with flight controls with great precision and dexterity. It also comes with camera “eyes” that help the robot monitor the internal and external conditions of the aircraft while in control.

Korea Herald.

Continue reading “Meet Pibot: Korea’s LLM-powered smart robotic pilot” | >

The Japanese have created an uncanny AI model that can estimate your true age from the looks of your chest X-ray. It can help doctors in the early detection of chronic disorders.

Have you ever wondered why some people look much older than their chronological age? A new study from Japan’s Osaka Metropolitan University (OMU) suggests this could be a sign of a disease they don’t know yet.

The study authors have developed an AI program that can accurately calculate an individual’s age by reading their chest X-ray. This model estimates age, unlike various previously reported AI programs that examine radiographs to detect lung anomalies. Then researchers use this information to predict body ailments further.

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A research team co-led by City University of Hong Kong (CityU) and The University of Hong Kong (HKU) has recently made a significant advancement in spinal cord injury treatment by using genetically-modified human neural stem cells (hNSCs).

They found that specifically modulating a to a certain level in hNSCs can effectively promote the reconstruction of damaged neural circuits and restore locomotor functions, offering great potential for new therapeutic opportunities for patients with spinal cord . The findings were published in the journal Advanced Science under the title “Transplanting Human Neural Stem Cells with ≈50% Reduction of SOX9 Gene Dosage Promotes Tissue Repair and Functional Recovery from Severe Spinal Cord Injury.”

Traumatic spinal cord injury is a devastating condition that commonly results from accidents such as falls, car crashes or sport-related injuries.

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Check Out Human Footprint on PBS Terra: https://youtu.be/-c_KBWyPGaQ

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https://www.patreon.com/pbsspacetime.

We knew that the James Webb Space Telescope would find interesting stuff, especially about the mysterious early times. For example, there are hints that the galaxies we’re seeing are brighter and more regular than expected given the short amount of time they’d had to grow. Well, perhaps no one was expecting that we’d find a completely new type of star—one mostly made of and powered by dark matter and shining as bright as an entire galaxy. Which, by the way, might help us explain those pesky giant galaxies.

Continue reading “Did JWST Discover Dark Matter Stars?” | >

Not many pure-play quantum computing start-ups have dared to go public. So far, the financial markets have tended to treat the newcomers unsparingly. One exception is IonQ, who along with D-Wave and Rigetti, reported quarterly earnings last week. Buoyed by hitting key technical and financial goals, IonQ’s stock is up ~400% (year-to-date) and CEO Peter Chapman is taking an aggressive stance in the frothy quantum computing landscape where error correction – not qubit count – has increasingly taken center stage as the key challenge.

This is all occurring at a time when a wide variety of different qubit types are vying for dominance. IBM, Google, and Rigetti are betting on superconducting-based qubits. IonQ and Quantinuuum use trapped ions. Atom Computing and QuEra use neutral atoms. PsiQuantum and Xanadu rely on photonics-based qubits. Microsoft is exploring topological qubits based on the rare Marjorana particle. And more are in the works.

It’s not that the race to scale up qubit-count has ended. IBM has a 433-plus qubit device (Osprey) now and is scheduled to introduce 1100-qubit device (Condor) late this year. Several other quantum computer companies have devices in the 50–100 qubit range. IonQ’s latest QPU, Forte, has 32 qubits. The challenge they all face is that current error rates remain so high that it’s impractical to reliably run most applications on the current crop of QPUs.

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Scientists found a way to translate brain waves into music, using a Pink Floyd song — here’s how the tech could be used for communication in the future.
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Continue reading “Scientists Recreate Pink Floyd Song Based on Brain Waves” | >

Published: August 8, 2023 8.29am EDT

Alexis souchet, university of southern california.

The big idea.

Some employers are excited about swapping out computer monitors for virtual reality headsets, but the side effects of using VR are not completely understood. In a recent study, my colleagues and I propose 90 factors that could influence VR side effects in the workplace. In another study, we suggest guidelines to reduce these negative symptoms.

-In defense everything has negative syptoms. Nothing is perfect, and everything has negative things in it. If things were perfect we would be living in a much better world. Take religion for example, and they pay no tax.

Continue reading “Virtual reality has negative side effects — new research shows that can be a problem in the workplace” | >

This post is also available in: he עברית (Hebrew)

Many artificial intelligence tools use public data to train their large language models, but now large social media sites are looking for ways to defend against data scraping. The problem is that scraping isn’t currently illegal.

According to Cybernews, data scraping refers to a computer program extracting data from the output generated from another program, and it is becoming a big problem for large social media sites like Twitter or Reddit.

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What if “looking your age” refers not to your face, but to your chest? Osaka Metropolitan University scientists have developed an advanced artificial intelligence (AI) model that utilizes chest radiographs to accurately estimate a patient’s chronological age. More importantly, when there is a disparity, it can signal a correlation with chronic disease.

These findings mark a leap in , paving the way for improved early disease detection and intervention. The results are published in The Lancet Healthy Longevity.

The research team, led by graduate student Yasuhito Mitsuyama and Dr. Daiju Ueda from the Department of Diagnostic and Interventional Radiology at the Graduate School of Medicine, Osaka Metropolitan University, first constructed a deep learning-based AI model to estimate age from chest radiographs of healthy individuals.

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