Healthcare

Facebook AI Introduces ‘Anticipative Video Transformer’ (AVT): An End-To-End Attention-Based Model For Action Anticipation In Videos

Every day, people make countless decisions based on their understanding of their surroundings as a continuous sequence of events. Artificial intelligence systems that can predict people’s future activities are critical… Read More »Facebook AI Introduces ‘Anticipative Video Transformer’ (AVT): An End-To-End Attention-Based Model For Action Anticipation In Videos

Cambridge Quantum (CQ) Open-Sources ‘lambeq’: A Python Library For Experimental Quantum Natural Language Processing (QNLP)

Cambridge Quantum (“CQ”) announced the release of the world’s first toolkit and an open-source library for Quantum Natural Language Processing (QNLP), called ‘lambeq’. Speaking in simple words, ‘lambeq’ is the… Read More »Cambridge Quantum (CQ) Open-Sources ‘lambeq’: A Python Library For Experimental Quantum Natural Language Processing (QNLP)

Stanford and UC San Diego Researchers Propose A New Approach To Quickly Remove Traces of Sensitive User Information From Machine Learning Models

Machine learning works by sifting through databases and assigning various prediction weights to data features, such as an online shopper’s age, location, previous purchase history, or a streamer’s past viewing… Read More »Stanford and UC San Diego Researchers Propose A New Approach To Quickly Remove Traces of Sensitive User Information From Machine Learning Models

MIT Researchers Open-Sourced ‘MADDNESS’: An AI Algorithm That Speeds Up Machine Learning Using Approximate Matrix Multiplication (AMM)

Matrix multiplication is one of the essential operations in machine learning (ML). However, these operations are extensively computationally costly due to the extensive use of multiply-add instructions. Therefore, many studies… Read More »MIT Researchers Open-Sourced ‘MADDNESS’: An AI Algorithm That Speeds Up Machine Learning Using Approximate Matrix Multiplication (AMM)