Neuromorphic semiconductor device achieves world’s highest handwriting pattern recognition rate

A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world’s first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, …

A way to govern ethical use of artificial intelligence without hindering advancement

Texas A&M University School of Public Health researchers are developing a new governance model for ethical guidance and enforcement in the rapidly advancing field of artificial intelligence (AI). Known as Copyleft AI with Trusted Enforcement, or CAITE, the researchers believe this model will guard against the potential harms of AI without hindering technological advancements.