Millions of pieces of extremist propaganda are released on the internet every year. Sorting the radical from non-radical is a major challenge, even for AI… Read More »Halting the Flow of Terrorist Propaganda with AI
Machine Learning and the Search for E.T. Exoplanet Detection using ML has risen exponentially in the last decade. CNNs are identifying more Earth-like planets. If… Read More »Machine learning and the Search for E.T.
New study successfully tackles the problem of dimensionality reduction in embedded systems. The reduced model can be implemented without loss of accuracy. Combining POD… Read More »Tackling the Dimensionality Reduction Problem for Embedded Systems
Tips to fool facial recognition systems are fast becoming obsolete. New research using partial features is showing a high success rate. The future looks bleak… Read More »Sunglasses and Face Mask Won't Fool Facial Recognition Systems Any More
New study uses agent-based model for displacement of plastics in the ocean. Authors hope to build awareness about plastic pollution. The model calculates drift based… Read More »Using Data Science to Model Ocean Plastic Pollution
New study used Federated Learning to predict severity of Covid-19 for E.R. patients. Significant improvements seen in central vs. local models. Model slated for use… Read More »New Study uses Federated Learning to Predict Covid-19 Outcomes
New study is 98.4% accurate at detecting Covid-19 from X-rays. Researchers trained a convolutional neural network on Kaggle dataset. The hope is that the technology… Read More »Neural Network Can Diagnose Covid-19 from Chest X-Rays