Discusses the results of CosmiQ Works’ study on super-resolution and its effect on object detection performance.
Archives for June 2019
Lab41 recently started tackling the question of how much information is a model memorizing and how can we better understand this?
Machine Learning (ML) models are increasingly becoming more ubiquitous in our everyday lives, many of the models built using personal and sensitive data. For instance, ML models now regularly use unique biometric data to identify us, such as our voices, our fingerprints, faces or iris’.
Last year, we announced the creation of Squiggle, an algorithm for intuitive DNA sequence visualization and analysis along with an accompanying software package to enable interactive exploration of DNA sequences. Next, we created DNAvisualization.org so that it requires only a web browser to operate.
The SpaceNet partners are pleased to announce SpaceNet 5: Road Networks and Optimized Routing. This public competition will challenge competitors to automatically extract road networks from satellite imagery, along with travel time estimates along all roadways, thereby permitting true optimal routing.
Discusses the VOiCES project and removal of dynamic noise, sources of noise which do not repeat, or do so only sporadically.