A helping hand for robotic manipulator design

https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202205/MIT_Manipulator-Design-01-PRESS.jpg?itok=oudsbLJS Original Source Here MIT researchers have created an interactive design pipeline that streamlines and simplifies the process of crafting a customized robotic hand with tactile sensors. Typically, a robotics expert may spend months manually designing a custom manipulator, largely through trial-and-error. Each iteration could require new parts that must be designed and tested fromContinue reading “A helping hand for robotic manipulator design”

AI chip startup Sima.ai bags another $30M ahead of growth

Original Source Here As the demand for AI-powered apps grows, startups developing dedicated chips to accelerate AI workloads on-premises are reaping the benefits. A recent ZDNet piece reaffirms that the AI edge chip market is booming, fueled by “staggering” venture capital financing in the hundreds of millions of dollars. EdgeQ, Kneron, and Hailo are amongContinue reading “AI chip startup Sima.ai bags another $30M ahead of growth”

A review: development of named entity recognition (NER) technology for aeronautical information intelligence

Original Source Here Abstract The rapid development of data and artificial intelligence technology has introduced new opportunities and challenges to aeronautical information intelligence. However, there are many obstacles in the sharing, reasoning and reusing aeronautical data due to the disunity of norms, the opacity of sharing and semantic ambiguity. To a large extent, as aContinue reading “A review: development of named entity recognition (NER) technology for aeronautical information intelligence”

How Machines Can Learn Using TensorFlow or PyTorch

Original Source Here How Machines Can Learn Using TensorFlow or PyTorch A deep dive into their minds, their evolution source: https://unsplash.com/ AI and machine learning are very hot topics these days. Self-driving cars, real-time automatic translation, voice recognition, etc. These are only some of the applications that cannot exist without machine learning. But how canContinue reading “How Machines Can Learn Using TensorFlow or PyTorch”