Machine Learning

Researchers at Google AI Introduce an Efficient Neural Volumetric Representation that Enables Real-Time View Synthesis

View synthesis is a computer vision (CV) technique that uses observed images to recover a 3D scene representation that can render the scene from...

Researchers From Microsoft and Princeton University Find Text-Based Agents can Achieve High Scores Even in The Complete Absence of Semantics

Recently, Text-based games have become a popular testing method for developing and testing reinforcement learning (RL). It aims to build autonomous agents that can...

This Romanian Startup Transforms Workout Videos into Personalized Fitness Content by Using Machine Learning Algorithms

Hyperhuman is a Romanian startup transforming workout videos into personalized fitness content by using artificial intelligence. The intelligent platform produces and broadcasts the workout...

Introducing PyTorch Profiler – The New And Improved Performance Debugging Profiler For PyTorch

The analysis and refinement of the large-scale deep learning model's performance is a constant challenge that increases in importance with the model’s size. Owing...

Transfer Learning in Keras (Image Recognition)

Transfer Learning in AI is a method where a model is developed for a specific task, which is used as the initial steps for...

Generating Your Shakespeare Text Using Sequential Models Such As Long-Short-Term-Memory (LSTMs), Gated Recurrent Units (GRUs), Recurrent Neural Network (RNNs)

In the previous article, we discussed Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and applied them to detect fake news. This article will...

This Michigan-Based Startup is Using Self- Driving Robots for No-Contact and Low-Cost Food Deliveries

Refraction AI is a robot delivery startup based out of Ann Arbor, Michigan, the United States. It offers easy and efficient food delivery from...

Google AI Proposes A Machine Learning Algorithm For Teaching Agents To Solve New Tasks By Providing Examples Of Success

Most reinforcement learning algorithms work on a ‘reward’ function to teach the agents in an unknown environment. The reward is given if the action...

Researchers at MIT and Amazon Study Pervasive Label Errors in Test Sets that Destabilize Machine Learning Benchmarks

Large labeled data sets are crucial for successful supervised machine learning (ML) across several domains such as image classification, sentiment analysis, and audio classification....

Researchers From DeepMind And Alberta University Propose Policy-Guided Heuristic Search Algorithm

Machine learning techniques usually assume that the training and test data were generated from the same statistical distribution. This assumption, however, doesn’t go well...

San Francisco-Based Startup ‘Whisper’ Uses AI to Create A Self-Improving Hearing Aid for the Hearing-Impaired

AI-powered hearing-aid 'Whisper Hearing System' undergoes its very first software upgrade on its mission to become a completely self-improving hearing system.  What is ‘Whisper Hearing...

Facebook AI Researchers Introduces an Artificial Intelligence Project that Learns from Videos

Facebook developers are building an Artificial Intelligence project called 'Learning from Videos', capable of learning from publicly available videos. The project uses available audio,...

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