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showing posts for 'autonomous'

Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial

"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com

Meet the dazzling flying machines of the future

When you hear the word "drone," you probably think of something either very useful or very scary. But could they have aesthetic value? Autonomous systems expert Raffaello D'Andrea develops flying machines, and his latest projects are pushing the boundaries of autonomous flight -- from a flying wing that...
Source: ted.com

The role of motivational profiles in learning problem-solving and self-assessment skills with video modeling examples Lisette

In the current study, we examine the role of situation-specific motivational profiles in the effectiveness of video modeling examples for learning problem-solving and self-assessment accuracy in the domain of biology. A sample of 342 secondary school students participated in our study. Latent profile...
Source: springer.com

3D Scene Understanding with TensorFlow 3D

Posted by Alireza Fathi, Research Scientist and Rui Huang, AI Resident, Google Research "The growing ubiquity of 3D sensors (e.g., Lidar, depth sensing cameras and radar) over the last few years has created a need for scene understanding technology that can process the data these devices capture. Such...
Source: googleblog.com

11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological

11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity...
Source: nature.com

Could analysing personalised learning be better matched if physicians are first classified into competency groups? Using

Could analysing personalised learning be better matched if physicians are first classified into competency groups? Using latent class analysis to identify physician competency reveals four distinct subgroups in this cross-sectional study in China. The survey tool is large at over 100 items long but included...
Source: biomedcentral.com

re:Work - The five keys to a successful Google team: Psychological safety, Dependability, Structure & clarity, Meaning

re:Work - The five keys to a successful Google team: Psychological safety, Dependability, Structure & clarity, Meaning of work, and Impact of work. "Pod. Work group. Committee. Autonomous collective. Whatever you call it, you’re part of one at Google and probably wherever you work: a team. So...
Source: withgoogle.com

nuTonomy to Test World's First Fully Autonomous Taxi Service in Singapore This Year: MIT startup could be the first company

nuTonomy to Test World's First Fully Autonomous Taxi Service in Singapore This Year: MIT startup could be the first company in the world to deploy fully autonomous urban vehicles that you can ride in
Source: ieee.org