Facebook AI In Collaboration With NYU Introduce New Machine Learning (ML) Models To Predict...

Even after a year-long fight with the COVID pandemic, it's still a challenge to predict a patient's condition throughout treatment. In collaboration...

Kosinski’s Latest Paper Claims ‘Facial Recognition Technology Can Expose Political Orientation From Naturalistic Facial...

Michal Kosinski, a Stanford-affiliated researcher, claims to build an algorithm to expose people's political views from social media profiles and facial expressions....

Facebook AI Introduces DeiT (Data-efficient image Transformers): A New Technique To Train Computer Vision...

Facebook AI has developed a new technique called Data-efficient image Transformers (DeiT) to train computer vision models that leverage Transformers to unlock dramatic advances...

Stanford University Researchers Introduces LUCIDGames, A Computational Technique That Can Predict And Plan Adaptive...

Researchers at Stanford University recently introduced LUCIDGames, a computational technique to predict and plan adaptive trajectories for autonomous vehicles. This technique integrates an algorithm...

An Indian Startup Is Using AI To Map India’s Potholes Using Phone Sensors

India is the seventh-largest country globally and has one of the world's largest road networks, with 59 lakh km of road length....

This College Communication Platform, ‘InSpace’, Uses TensorFlow.js For Toxicity Filters In Chat

InSpace is a virtual communication and learning platform. It helps people interact, collaborate, and educate in familiar physical ways, but in a virtual...

A New Method To Code Inductive Image Biases Into Models Using CNN And Transformers

Researchers at Heidelberg University have recently proposed a novel method to efficiently code inductive image biases into models while retaining all transformers’...

Exclusive Talk with Sherin Mathews, Senior Data Scientist at McAfee

Asif: Tell us about your journey in AI and machine learning so far.  What factors influenced your decision to pursue a PhD...

DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level...

The University of Notre Dame and Facebook AI Research Propose “Img2pose”, A Real-Time 6DoF...

A new study by Facebook AI and the University of Notre Dame research team has proposed a novel real-time six DoF (Degrees...
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