These robots have already proved popular in Europe and helped with extinguishing the Notre Dame fire in 2019.
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Ctrl-labs is developing an armband that interprets electrical signals from neurons in the arm, allowing wearers to control computers, smartphones, and even robotic arms with their minds. VentureBeat got hands-on time with the technology during a recent visit to the startup’s New York City office.
Musk said he thinks Neuralink will “solve a lot of brain-related diseases,” naming autism and schizophrenia as examples. Autism is not a disease.
Japan’s combination of artificial intelligence and robotics may be the answer to its rapidly shrinking labor force
Todd Schneider, Gee Hee Hong, and Anh Van Le
While automation will eliminate very few occupations entirely in the coming decades, it is likely to have an impact on portions of almost all jobs to some degree—depending on the type of work and the tasks involved. Set to move beyond routine and repetitive manufacturing activities, automation has the potential to appear in a much broader range of activities than seen until now, and to redefine human labor and work style in services and other sectors. In Japan, the rapid decline in the labor force and the limited influx of immigrants create a powerful incentive for automation, which makes the country a particularly useful laboratory for the study of the future landscape of work.
The industry showed out in spades for this year’s list, highlighting devices in medical AI, surgical robotics, wearables, and femtech, among others.
This robotic Labrador puppy has been created in collaboration with the legendary Jim Henson’s Creature Shop.
A US-based company, Tombot, has unveiled Jennie – a realistic robotic puppy. This battery-powered Lab reacts to human touch, wags its tail, and even barks when you tell it to.
This robotic companion is designed to bring joy and comfort to those who need it most. Jennie has been designed to offer companionship to people battling dementia, stress, anxiety, Posttraumatic Stress Disorder (PTSD), and depression.
Continue reading “Meet Jennie: Super-realistic robotic puppy to help people with anxiety” »
MIT’s AI simulator creates realistic data, helping robots master tasks virtually.
Researchers developes an AI-powered simulator that creates realistic training data, enabling robots to master real-world tasks virtually.
Originally published on Towards AI.
When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our lives, while others fear it as a force that could upend society and replace human ingenuity. Among these diverse perspectives lies a growing fascination with the cognitive abilities of AI: Can machines truly “understand” us? Recent research suggests that advanced language models like ChatGPT-4 may be more socially perceptive than we imagined.
A recent study published in Proceedings of the National Academy of Sciences (PNAS) reveals that advanced language models can now match a six-year-old child’s performance in theory of mind (ToM) tasks, challenging our assumptions about machine intelligence.
As our collective nervousness over AI grows each day, “The Wild Robot” emerges from the woods with a completely different take on a man-made being with the ability to learn.
“I love the messaging of the story, the idea that kindness is a survival tactic,” says star Lupita Nyong’o. “It’s just so pure and sweet and needed.”
In the DreamWorks animated feature, a domestic helper robot, a ROZZUM 7,134 (Nyong’o), is lost on a wooded island and activated without human guidance. As the ingeniously designed “Roz” searches for a mission in a vernal bower that looks designed by an Impressionist painter, she learns to communicate with the animal residents and finds purpose in raising an orphaned gosling, Brightbill.
Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning from tasks like camouflage detection, researchers improved the models’ ability to recognize tumors.
This study emphasizes explainability, enabling AI to highlight the areas it identifies as cancerous, fostering trust among radiologists and patients. While slightly less accurate than human detection, this method demonstrates promise for AI as a transparent tool in clinical radiology.
