Lai et al. present the machine learning model MAARS to predict arrhythmic sudden cardiac death from multimodal imaging and clinical data in patients with hypertrophic cardiomyopathy.
Category: robotics/AI – Page 376
HD Hyundai Advances Humanoid Welding Robots for Shipbuilding
Two units of South Korean shipbuilding conglomerate HD Hyundai have signed a strategic partnership agreement with Germany’s NEURA Robotics to develop specialized humane-like welding robots for the shipbuilding industry.
The agreement, signed in Munich at the end of June, focuses on developing robots capable of navigating the complex environment of shipyards while performing precision welding tasks, aiming to address growing labor shortages while boosting safety and productivity.
Under the terms of the agreement, HD Hyundai Samho will provide testing environments and validate the robots’ practical applicability based on their experience with collaborative robots and automation equipment. HD Hyundai Robotics will contribute technical expertise, including path learning data from years of welding automation experience. NEURA Robotics will leverage its cognitive robotics technology, including its humanoid platform 4NE-1, to develop solutions specifically for shipbuilding applications.
“These Students Just Built the Future”: Stanford Team Unleashes Mini AI Robot Dog Created From Scratch, Stuns Experts With Breakthrough DIY Engineering
IN A NUTSHELL 🤖 Stanford University‘s course teaches students to build AI-powered robot dogs, blending education with technology. 🔧 Students learn hands-on robotics skills, from motor control to AI programming, using the “Pupper” quadruped kit. 🧠 The course shifts focus to AI, with students training neural networks to enhance Pupper‘s capabilities. 🌟 The program aims
AI-assisted technique can measure and track aging cells
A combination of high-resolution imaging and machine learning, also known as artificial intelligence (AI), can track cells damaged from injury, aging, or disease, and that no longer grow and reproduce normally, a new study shows.
These senescent cells are known to play a key role in wound repair and aging-related diseases, such as cancer and heart disease, so tracking their progress, researchers say, could lead to a better understanding of how tissues gradually lose their ability to regenerate over time or how they fuel disease. The tool could also provide insight into therapies for reversing the damage.
The study included training a computer system to help analyze animal cells damaged by increasing concentrations of chemicals over time to replicate human aging. Cells continuously confronted with environmental or biological stress are known to senesce, meaning they stop reproducing and start to release telltale molecules indicating that they have suffered injury.
Leadership Skills: Managing AI Agents vs. Humans
Leadership quality has a significant impact on firm productivity and can even affect national prosperity, but measuring individual leadership skills is difficult. Existing methods require observing prospective leaders working with multiple randomly assigned groups, an undertaking that can be both logistically complex and expensive.
Scientists create biological artificial intelligence system
Australian scientists, including at the Charles Perkins Centre, University of Sydney, have successfully developed a research system that uses ‘biological artificial intelligence’ to design and evolve molecules with new or improved functions directly in mammal cells. The researchers said this system provides a powerful new tool that will help scientists develop more specific and effective research tools or gene therapies.
Named PROTEUS (PROTein Evolution Using Selection) the system harnesses ‘directed evolution’, a lab technique that mimics the natural power of evolution. However, rather than taking years or decades, this method accelerates cycles of evolution and natural selection, allowing them to create molecules with new functions in weeks.
This could have a direct impact on finding new, more effective medicines. For example, this system can be applied to improve gene editing technology like CRISPR to improve its effectiveness.