Aug 20, 2024
Research AI model unexpectedly modified its own code to extend runtime
Posted by Kelvin Dafiaghor in category: robotics/AI
Facing time constraints, Sakana’s “AI Scientist” attempted to change limits placed by researchers.
Archive for the ‘robotics/AI’ category: Page 31
Aug 20, 2024
Forward: The goal of ADAS is to automate the creation of these complex AI agents by not only inventing new building blocks but also by finding novel ways to combine them
Posted by Cecile G. Tamura in category: robotics/AI
One particularly promising method within ADAS involves defining agents in code and using a meta-agent—an AI that can create and improve…
S Hu, C Lu, J Clune [University of British Columbia] (2024) paper: https://arxiv.org/abs/2408.08435 website:
Can AI agents design better AI agents?
Aug 20, 2024
OpenAI’s DALL-E 3-Like AI For Free, Forever!
Posted by Chris Smedley in categories: media & arts, robotics/AI
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Aug 20, 2024
KindXiaoming/pykan: Kolmogorov Arnold Networks
Posted by Cecile G. Tamura in category: robotics/AI
KAN 2.0: Kolmogorov-Arnold Networks Meet Science.
Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark MIT 2024.
Artificial Intelligence (AI) and science are two powerful forces that seem, on the surface, to be at odds with each other.
Continue reading “KindXiaoming/pykan: Kolmogorov Arnold Networks” »
Aug 20, 2024
World’s 1st jet-powered humanoid robot completes key tests
Posted by Genevieve Klien in category: robotics/AI
IIT reveals advances in the world’s first jet-powered humanoid robot, showcasing its experimental area and early validation efforts.
Aug 20, 2024
AI Model Predicts Autism in Toddlers with 80% Accuracy
Posted by Shubham Ghosh Roy in categories: food, robotics/AI
Summary: A new machine learning model, AutMedAI, can predict autism in children under two with nearly 80% accuracy, offering a promising tool for early detection and intervention.
The model analyzes 28 parameters available before 24 months, such as age of first smile and eating difficulties, to identify children likely to have autism. Early diagnosis is crucial for optimal development, and further validation of the model is underway.
Aug 19, 2024
Scientists harness quantum microprocessor chips for advanced molecular spectroscopy simulation
Posted by Saúl Morales Rodriguéz in categories: cybercrime/malcode, finance, quantum physics, robotics/AI
Quantum simulation enables scientists to simulate and study complex systems that are challenging or even impossible using classical computers across various fields, including financial modeling, cybersecurity, pharmaceutical discoveries, AI and machine learning. For instance, exploring molecular vibronic spectra is critical in understanding the molecular properties in molecular design and analysis.
Aug 19, 2024
Can AI agents become conscious? Experts look ahead to artificial general intelligence
Posted by Shubham Ghosh Roy in category: robotics/AI
Could AI agents ever outdo the generalized smarts of human intelligence? That was one of the questions raised at the AGI-24 conference.
Aug 19, 2024
MIT engineers design tiny batteries for powering cell-sized robots
Posted by Cecile G. Tamura in categories: biotech/medical, chemistry, employment, robotics/AI
Engineers have designed a tiny battery, smaller than a grain of sand, to power microscopic robots for jobs such as drug delivery or locating leaks in gas pipelines.
A tiny battery designed by MIT engineers could enable the deployment of cell-sized, autonomous robots for drug delivery within in the human body, as well as other applications such as locating leaks in gas pipelines.
The new battery, which is 0.1 millimeters long and 0.002 millimeters thick — roughly the thickness of a human hair — can capture oxygen from air and use it to oxidize zinc, creating a current with a potential of up to 1 volt. That is enough to power a small circuit, sensor, or actuator, the researchers showed.
Continue reading “MIT engineers design tiny batteries for powering cell-sized robots” »
Aug 19, 2024
Engineers develop Magnetic Tunnel Junction–based Device to make AI more Energy Efficient
Posted by Natalie Chan in category: robotics/AI
Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.
The research is published in npj Unconventional Computing titled “Experimental demonstration of magnetic tunnel junction-based computational random-access memory.” The researchers have multiple patents on the technology used in the device.
With the growing demand for AI applications, researchers have been looking at ways to create a more energy efficient process, while keeping performance high and costs low. Commonly, machine or artificial intelligence processes transfer data between both logic (where information is processed within a system) and memory (where the data is stored), consuming a large amount of power and energy.
