Interesting Engineering on MSN
New adaptive system lets robots replicate human touch with far less training data
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Tech Xplore on MSN
Adaptive motion system helps robots achieve human-like dexterity with minimal data
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...
Higher nighttime light exposure is associated with increased light sleep duration, with complex effects on deep sleep duration. New research reveals how outdoor nighttime light exposure subtly impacts ...
Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...
Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index-a marker of insulin ...
Philstar.com on MSN
BSP flags downside inflation risks in 2026
The Bangko Sentral ng Pilipinas sees inflation risks in 2026 tilted to the downside, with new analysis showing a high chance ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Tech Xplore on MSN
New AI-based technology offers real-time electric vehicle state estimation for safer driving
A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has developed a physical AI-based vehicle state estimation technology that accurately ...
A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
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